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Avan A, Feigin VL, Bennett DA, Steinmetz JD, Hachinski V, Stranges S, Owolabi MO, Aali A, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abd-Allah F, Abdollahzade S, Abidi H, Abolhassani H, Abualhasan A, Abu-Gharbieh E, Abu-Rmeileh NME, Abu-Zaid A, Ahmad A, Ahmadi S, Ahmed LA, Ajami M, Al Hamad H, Alanezi FM, Alanzi TM, Alimohamadi Y, Aljunid SM, Al-Raddadi RM, Amiri S, Arabloo J, Arulappan J, Arumugam A, Asadi-Pooya AA, Athar M, Athari SS, Atout MMW, Azadnajafabad S, Azangou-Khyavy M, Azari Jafari A, Azzam AY, Baghcheghi N, Bagherieh S, Baltatu OC, Bazmandegan G, Bhojaraja VS, Bijani A, Bitaraf S, Calina D, Darwish AH, Djalalinia S, Doheim MF, Dorostkar F, Eini E, El Nahas N, El Sayed I, Elhadi M, Elmonem MA, Eskandarieh S, Faghani S, Fallahzadeh A, Farahmand M, Ghafourifard M, Ghamari SH, Gholami A, Ghozy S, Goleij P, Hadei M, Hafezi-Nejad N, Haj-Mirzaian A, Halwani R, Hamidi S, Hasaballah AI, Hassan A, Hedna K, Hegazy MI, Heidari-Soureshjani R, Hosseini MS, Hoveidamanesh S, Jahrami H, Jamshidi E, Javaheri T, Jayapal SK, Kalankesh LR, Kalhor R, Kamiab Z, Keykhaei M, Khader YS, Khan M, Khan MAB, Khatatbeh, Khayat Kashani HR, Khosravi A, Kompani F, Koohestani HR, Larijani B, Lasrado S, Magdy Abd El Razek M, Malekpour MR, Malik AA, Mansournia MA, Mardi P, Maroufi SF, Masoudi S, Mayeli M, Mehrabi Nasab E, Menezes RG, Mirmoeeni S, Mirza-Aghazadeh-Attari M, Mobarakabadi M, Mohammadi E, Mohammadi S, Mohan S, Mokdad AH, Momtazmanesh S, Montazeri F, Moradi Sarabi M, Moraga P, Morovatdar N, Motaghinejad M, Naghavi M, Natto ZS, Nejadghaderi SA, Noroozi N, Okati-Aliabad H, Pazoki Toroudi H, Perna S, Piradov MA, Pourahmadi M, Rafiei A, Rahimi-Movaghar V, Rahmani AM, Rahmani S, Rahmanian V, Rajabpour-Sanati A, Rao CR, Rashidi MM, Rawassizadeh R, Razeghian-Jahromi I, Redwan EMM, Rezaee M, Rezaei N, Rezaei N, Rezaei N, Rezaeian M, Rikhtegar R, Saad AMA, Saddik B, Sadeghi M, Sadeghian S, Saeedi Moghaddam S, Sahebkar A, Salahi S, Salahi S, Samy AM, Sanadgol N, Sarveazad A, Sathian B, Saylan M, Shahbandi A, Shahrokhi S, Shams-Beyranvand M, Shanawaz M, Sharifi-Rad J, Sheikhi RA, Shetty JK, Shobeiri P, Shorofi SA, Siabani S, Tabatabaei SM, Taheri Abkenar Y, Taheri Soodejani M, Temsah MH, Vakilian A, Valadan Tahbaz S, Valizadeh R, Vaziri S, Vo B, Yahyazadeh Jabbari SH, Yesiltepe M, Zaki N, Zare I, Zare Dehnavi A, Zoladl M. The burden of neurological conditions in north Africa and the Middle East, 1990-2019: a systematic analysis of the Global Burden of Disease Study 2019. Lancet Glob Health 2024; 12:e960-e982. [PMID: 38604203 PMCID: PMC11099299 DOI: 10.1016/s2214-109x(24)00093-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 01/25/2024] [Accepted: 02/22/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND The burden of neurological conditions in north Africa and the Middle East is increasing. We aimed to assess the changes in the burden of neurological conditions in this super-region to aid with future decision making. METHODS In this analysis of the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 data, we examined temporal trends of disability-adjusted life-years (DALYs; deaths and disabilities combined), deaths, incident cases, and prevalent cases of 14 major neurological conditions and eight subtypes in 21 countries in the north Africa and the Middle East super-region. Additionally, we assessed neurological DALYs due to 22 potentially modifiable risk factors, within four levels of classification, during the period 1990-2019. We used a Bayesian modelling estimation approach, and generated 95% uncertainty intervals (UIs) for final estimates on the basis of the 2·5th and 97·5th percentiles of 1000 draws from the posterior distribution. FINDINGS In 2019, there were 441·1 thousand (95% UI 347·2-598·4) deaths and 17·6 million (12·5-24·7) neurological DALYs in north Africa and the Middle East. The leading causes of neurological DALYs were stroke, migraine, and Alzheimer's disease and other dementias (hereafter dementias). In north Africa and the Middle East in 2019, 85·8% (82·6-89·1) of stroke and 39·9% (26·4-54·7) of dementia age-standardised DALYs were attributable to modifiable risk factors. North Africa and the Middle East had the highest age-standardised DALY rates per 100 000 population due to dementia (387·0 [172·0-848·5]), Parkinson's disease (84·4 [74·7-103·2]), and migraine (601·4 [107·0-1371·8]) among the global super-regions. Between 1990 and 2019, there was a decrease in the age-standardised DALY rates related to meningitis (-75·8% [-81·1 to -69·5]), tetanus (-88·2% [-93·9 to -76·1]), stroke (-32·0% [-39·1 to -23·3]), intracerebral haemorrhage (-51·7% [-58·2 to -43·8]), idiopathic epilepsy (-26·2% [-43·6 to -1·1]), and subarachnoid haemorrhage (-62·8% [-71·6 to -41·0]), but for all other neurological conditions there was no change. During 1990-2019, the number of DALYs due to dementias, Parkinson's disease, multiple sclerosis, ischaemic stroke, and headache disorder (ie, migraine and tension-type headache) more than doubled in the super-region, and the burden of years lived with disability (YLDs), incidence, and prevalence of multiple sclerosis, motor neuron disease, Parkinson's disease, and ischaemic stroke increased both in age-standardised rate and count. During this period, the absolute burden of YLDs due to head and spinal injuries almost doubled. INTERPRETATION The increasing burden of neurological conditions in north Africa and the Middle East accompanies the increasing ageing population. Stroke and dementia are the primary causes of neurological disability and death, primarily attributable to common modifiable risk factors. Synergistic, systematic, lifetime, and multi-sectoral interventions aimed at preventing or mitigating the burden are needed. FUNDING Bill & Melinda Gates Foundation. TRANSLATIONS For the Persian, Arabic and Turkish translations of the abstract see Supplementary Materials section.
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Naghavi M, Ong KL, Aali A, Ababneh HS, Abate YH, Abbafati C, Abbasgholizadeh R, Abbasian M, Abbasi-Kangevari M, Abbastabar H, Abd ElHafeez S, Abdelmasseh M, Abd-Elsalam S, Abdelwahab A, Abdollahi M, Abdollahifar MA, Abdoun M, Abdulah DM, Abdullahi A, Abebe M, Abebe SS, Abedi A, Abegaz KH, Abhilash ES, Abidi H, Abiodun O, Aboagye RG, Abolhassani H, Abolmaali M, Abouzid M, Aboye GB, Abreu LG, Abrha WA, Abtahi D, Abu Rumeileh S, Abualruz H, Abubakar B, Abu-Gharbieh E, Abu-Rmeileh NME, Aburuz S, Abu-Zaid A, Accrombessi MMK, Adal TG, Adamu AA, Addo IY, Addolorato G, Adebiyi AO, Adekanmbi V, Adepoju AV, Adetunji CO, Adetunji JB, Adeyeoluwa TE, Adeyinka DA, Adeyomoye OI, Admass BAA, Adnani QES, Adra S, Afolabi AA, Afzal MS, Afzal S, Agampodi SB, Agasthi P, Aggarwal M, Aghamiri S, Agide FD, Agodi A, Agrawal A, Agyemang-Duah W, Ahinkorah BO, Ahmad A, Ahmad D, Ahmad F, Ahmad MM, Ahmad S, Ahmad S, Ahmad T, Ahmadi K, Ahmadzade AM, Ahmed A, Ahmed A, Ahmed H, Ahmed LA, Ahmed MS, Ahmed MS, Ahmed MB, 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Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2100-2132. [PMID: 38582094 DOI: 10.1016/s0140-6736(24)00367-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/15/2024] [Accepted: 02/22/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation.
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Burden of disease scenarios for 204 countries and territories, 2022-2050: a forecasting analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2204-2256. [PMID: 38762325 DOI: 10.1016/s0140-6736(24)00685-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 03/29/2024] [Accepted: 04/02/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050. METHODS Using forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects models with SDI as the main covariate, and YLDs were computed from the resulting prevalence forecasts and average disability weights from GBD. Alternative future scenarios were constructed by replacing appropriate reference trajectories for risk factors with hypothetical trajectories of gradual elimination of risk factor exposure from current levels to 2050. The scenarios were constructed from various sets of risk factors: environmental risks (Safer Environment scenario), risks associated with communicable, maternal, neonatal, and nutritional diseases (CMNNs; Improved Childhood Nutrition and Vaccination scenario), risks associated with major non-communicable diseases (NCDs; Improved Behavioural and Metabolic Risks scenario), and the combined effects of these three scenarios. Using the Shared Socioeconomic Pathways climate scenarios SSP2-4.5 as reference and SSP1-1.9 as an optimistic alternative in the Safer Environment scenario, we accounted for climate change impact on health by using the most recent Intergovernmental Panel on Climate Change temperature forecasts and published trajectories of ambient air pollution for the same two scenarios. Life expectancy and healthy life expectancy were computed using standard methods. The forecasting framework includes computing the age-sex-specific future population for each location and separately for each scenario. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline. FINDINGS In the reference scenario forecast, global and super-regional life expectancy increased from 2022 to 2050, but improvement was at a slower pace than in the three decades preceding the COVID-19 pandemic (beginning in 2020). Gains in future life expectancy were forecasted to be greatest in super-regions with comparatively low life expectancies (such as sub-Saharan Africa) compared with super-regions with higher life expectancies (such as the high-income super-region), leading to a trend towards convergence in life expectancy across locations between now and 2050. At the super-region level, forecasted healthy life expectancy patterns were similar to those of life expectancies. Forecasts for the reference scenario found that health will improve in the coming decades, with all-cause age-standardised DALY rates decreasing in every GBD super-region. The total DALY burden measured in counts, however, will increase in every super-region, largely a function of population ageing and growth. We also forecasted that both DALY counts and age-standardised DALY rates will continue to shift from CMNNs to NCDs, with the most pronounced shifts occurring in sub-Saharan Africa (60·1% [95% UI 56·8-63·1] of DALYs were from CMNNs in 2022 compared with 35·8% [31·0-45·0] in 2050) and south Asia (31·7% [29·2-34·1] to 15·5% [13·7-17·5]). This shift is reflected in the leading global causes of DALYs, with the top four causes in 2050 being ischaemic heart disease, stroke, diabetes, and chronic obstructive pulmonary disease, compared with 2022, with ischaemic heart disease, neonatal disorders, stroke, and lower respiratory infections at the top. The global proportion of DALYs due to YLDs likewise increased from 33·8% (27·4-40·3) to 41·1% (33·9-48·1) from 2022 to 2050, demonstrating an important shift in overall disease burden towards morbidity and away from premature death. The largest shift of this kind was forecasted for sub-Saharan Africa, from 20·1% (15·6-25·3) of DALYs due to YLDs in 2022 to 35·6% (26·5-43·0) in 2050. In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5-17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7-11·3) in the high-income super-region to 23·9% (20·7-27·3) in north Africa and the Middle East. The Safer Environment scenario had its largest decrease in sub-Saharan Africa (5·2% [3·5-6·8]), the Improved Behavioural and Metabolic Risks scenario in north Africa and the Middle East (23·2% [20·2-26·5]), and the Improved Nutrition and Vaccination scenario in sub-Saharan Africa (2·0% [-0·6 to 3·6]). INTERPRETATION Globally, life expectancy and age-standardised disease burden were forecasted to improve between 2022 and 2050, with the majority of the burden continuing to shift from CMNNs to NCDs. That said, continued progress on reducing the CMNN disease burden will be dependent on maintaining investment in and policy emphasis on CMNN disease prevention and treatment. Mostly due to growth and ageing of populations, the number of deaths and DALYs due to all causes combined will generally increase. By constructing alternative future scenarios wherein certain risk exposures are eliminated by 2050, we have shown that opportunities exist to substantially improve health outcomes in the future through concerted efforts to prevent exposure to well established risk factors and to expand access to key health interventions. FUNDING Bill & Melinda Gates Foundation.
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Global fertility in 204 countries and territories, 1950-2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2057-2099. [PMID: 38521087 DOI: 10.1016/s0140-6736(24)00550-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/28/2023] [Accepted: 03/15/2024] [Indexed: 03/25/2024]
Abstract
BACKGROUND Accurate assessments of current and future fertility-including overall trends and changing population age structures across countries and regions-are essential to help plan for the profound social, economic, environmental, and geopolitical challenges that these changes will bring. Estimates and projections of fertility are necessary to inform policies involving resource and health-care needs, labour supply, education, gender equality, and family planning and support. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 produced up-to-date and comprehensive demographic assessments of key fertility indicators at global, regional, and national levels from 1950 to 2021 and forecast fertility metrics to 2100 based on a reference scenario and key policy-dependent alternative scenarios. METHODS To estimate fertility indicators from 1950 to 2021, mixed-effects regression models and spatiotemporal Gaussian process regression were used to synthesise data from 8709 country-years of vital and sample registrations, 1455 surveys and censuses, and 150 other sources, and to generate age-specific fertility rates (ASFRs) for 5-year age groups from age 10 years to 54 years. ASFRs were summed across age groups to produce estimates of total fertility rate (TFR). Livebirths were calculated by multiplying ASFR and age-specific female population, then summing across ages 10-54 years. To forecast future fertility up to 2100, our Institute for Health Metrics and Evaluation (IHME) forecasting model was based on projections of completed cohort fertility at age 50 years (CCF50; the average number of children born over time to females from a specified birth cohort), which yields more stable and accurate measures of fertility than directly modelling TFR. CCF50 was modelled using an ensemble approach in which three sub-models (with two, three, and four covariates variously consisting of female educational attainment, contraceptive met need, population density in habitable areas, and under-5 mortality) were given equal weights, and analyses were conducted utilising the MR-BRT (meta-regression-Bayesian, regularised, trimmed) tool. To capture time-series trends in CCF50 not explained by these covariates, we used a first-order autoregressive model on the residual term. CCF50 as a proportion of each 5-year ASFR was predicted using a linear mixed-effects model with fixed-effects covariates (female educational attainment and contraceptive met need) and random intercepts for geographical regions. Projected TFRs were then computed for each calendar year as the sum of single-year ASFRs across age groups. The reference forecast is our estimate of the most likely fertility future given the model, past fertility, forecasts of covariates, and historical relationships between covariates and fertility. We additionally produced forecasts for multiple alternative scenarios in each location: the UN Sustainable Development Goal (SDG) for education is achieved by 2030; the contraceptive met need SDG is achieved by 2030; pro-natal policies are enacted to create supportive environments for those who give birth; and the previous three scenarios combined. Uncertainty from past data inputs and model estimation was propagated throughout analyses by taking 1000 draws for past and present fertility estimates and 500 draws for future forecasts from the estimated distribution for each metric, with 95% uncertainty intervals (UIs) given as the 2·5 and 97·5 percentiles of the draws. To evaluate the forecasting performance of our model and others, we computed skill values-a metric assessing gain in forecasting accuracy-by comparing predicted versus observed ASFRs from the past 15 years (2007-21). A positive skill metric indicates that the model being evaluated performs better than the baseline model (here, a simplified model holding 2007 values constant in the future), and a negative metric indicates that the evaluated model performs worse than baseline. FINDINGS During the period from 1950 to 2021, global TFR more than halved, from 4·84 (95% UI 4·63-5·06) to 2·23 (2·09-2·38). Global annual livebirths peaked in 2016 at 142 million (95% UI 137-147), declining to 129 million (121-138) in 2021. Fertility rates declined in all countries and territories since 1950, with TFR remaining above 2·1-canonically considered replacement-level fertility-in 94 (46·1%) countries and territories in 2021. This included 44 of 46 countries in sub-Saharan Africa, which was the super-region with the largest share of livebirths in 2021 (29·2% [28·7-29·6]). 47 countries and territories in which lowest estimated fertility between 1950 and 2021 was below replacement experienced one or more subsequent years with higher fertility; only three of these locations rebounded above replacement levels. Future fertility rates were projected to continue to decline worldwide, reaching a global TFR of 1·83 (1·59-2·08) in 2050 and 1·59 (1·25-1·96) in 2100 under the reference scenario. The number of countries and territories with fertility rates remaining above replacement was forecast to be 49 (24·0%) in 2050 and only six (2·9%) in 2100, with three of these six countries included in the 2021 World Bank-defined low-income group, all located in the GBD super-region of sub-Saharan Africa. The proportion of livebirths occurring in sub-Saharan Africa was forecast to increase to more than half of the world's livebirths in 2100, to 41·3% (39·6-43·1) in 2050 and 54·3% (47·1-59·5) in 2100. The share of livebirths was projected to decline between 2021 and 2100 in most of the six other super-regions-decreasing, for example, in south Asia from 24·8% (23·7-25·8) in 2021 to 16·7% (14·3-19·1) in 2050 and 7·1% (4·4-10·1) in 2100-but was forecast to increase modestly in the north Africa and Middle East and high-income super-regions. Forecast estimates for the alternative combined scenario suggest that meeting SDG targets for education and contraceptive met need, as well as implementing pro-natal policies, would result in global TFRs of 1·65 (1·40-1·92) in 2050 and 1·62 (1·35-1·95) in 2100. The forecasting skill metric values for the IHME model were positive across all age groups, indicating that the model is better than the constant prediction. INTERPRETATION Fertility is declining globally, with rates in more than half of all countries and territories in 2021 below replacement level. Trends since 2000 show considerable heterogeneity in the steepness of declines, and only a small number of countries experienced even a slight fertility rebound after their lowest observed rate, with none reaching replacement level. Additionally, the distribution of livebirths across the globe is shifting, with a greater proportion occurring in the lowest-income countries. Future fertility rates will continue to decline worldwide and will remain low even under successful implementation of pro-natal policies. These changes will have far-reaching economic and societal consequences due to ageing populations and declining workforces in higher-income countries, combined with an increasing share of livebirths among the already poorest regions of the world. FUNDING Bill & Melinda Gates Foundation.
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Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2133-2161. [PMID: 38642570 DOI: 10.1016/s0140-6736(24)00757-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 03/07/2024] [Accepted: 04/12/2024] [Indexed: 04/22/2024]
Abstract
BACKGROUND Detailed, comprehensive, and timely reporting on population health by underlying causes of disability and premature death is crucial to understanding and responding to complex patterns of disease and injury burden over time and across age groups, sexes, and locations. The availability of disease burden estimates can promote evidence-based interventions that enable public health researchers, policy makers, and other professionals to implement strategies that can mitigate diseases. It can also facilitate more rigorous monitoring of progress towards national and international health targets, such as the Sustainable Development Goals. For three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has filled that need. A global network of collaborators contributed to the production of GBD 2021 by providing, reviewing, and analysing all available data. GBD estimates are updated routinely with additional data and refined analytical methods. GBD 2021 presents, for the first time, estimates of health loss due to the COVID-19 pandemic. METHODS The GBD 2021 disease and injury burden analysis estimated years lived with disability (YLDs), years of life lost (YLLs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries using 100 983 data sources. Data were extracted from vital registration systems, verbal autopsies, censuses, household surveys, disease-specific registries, health service contact data, and other sources. YLDs were calculated by multiplying cause-age-sex-location-year-specific prevalence of sequelae by their respective disability weights, for each disease and injury. YLLs were calculated by multiplying cause-age-sex-location-year-specific deaths by the standard life expectancy at the age that death occurred. DALYs were calculated by summing YLDs and YLLs. HALE estimates were produced using YLDs per capita and age-specific mortality rates by location, age, sex, year, and cause. 95% uncertainty intervals (UIs) were generated for all final estimates as the 2·5th and 97·5th percentiles values of 500 draws. Uncertainty was propagated at each step of the estimation process. Counts and age-standardised rates were calculated globally, for seven super-regions, 21 regions, 204 countries and territories (including 21 countries with subnational locations), and 811 subnational locations, from 1990 to 2021. Here we report data for 2010 to 2021 to highlight trends in disease burden over the past decade and through the first 2 years of the COVID-19 pandemic. FINDINGS Global DALYs increased from 2·63 billion (95% UI 2·44-2·85) in 2010 to 2·88 billion (2·64-3·15) in 2021 for all causes combined. Much of this increase in the number of DALYs was due to population growth and ageing, as indicated by a decrease in global age-standardised all-cause DALY rates of 14·2% (95% UI 10·7-17·3) between 2010 and 2019. Notably, however, this decrease in rates reversed during the first 2 years of the COVID-19 pandemic, with increases in global age-standardised all-cause DALY rates since 2019 of 4·1% (1·8-6·3) in 2020 and 7·2% (4·7-10·0) in 2021. In 2021, COVID-19 was the leading cause of DALYs globally (212·0 million [198·0-234·5] DALYs), followed by ischaemic heart disease (188·3 million [176·7-198·3]), neonatal disorders (186·3 million [162·3-214·9]), and stroke (160·4 million [148·0-171·7]). However, notable health gains were seen among other leading communicable, maternal, neonatal, and nutritional (CMNN) diseases. Globally between 2010 and 2021, the age-standardised DALY rates for HIV/AIDS decreased by 47·8% (43·3-51·7) and for diarrhoeal diseases decreased by 47·0% (39·9-52·9). Non-communicable diseases contributed 1·73 billion (95% UI 1·54-1·94) DALYs in 2021, with a decrease in age-standardised DALY rates since 2010 of 6·4% (95% UI 3·5-9·5). Between 2010 and 2021, among the 25 leading Level 3 causes, age-standardised DALY rates increased most substantially for anxiety disorders (16·7% [14·0-19·8]), depressive disorders (16·4% [11·9-21·3]), and diabetes (14·0% [10·0-17·4]). Age-standardised DALY rates due to injuries decreased globally by 24·0% (20·7-27·2) between 2010 and 2021, although improvements were not uniform across locations, ages, and sexes. Globally, HALE at birth improved slightly, from 61·3 years (58·6-63·6) in 2010 to 62·2 years (59·4-64·7) in 2021. However, despite this overall increase, HALE decreased by 2·2% (1·6-2·9) between 2019 and 2021. INTERPRETATION Putting the COVID-19 pandemic in the context of a mutually exclusive and collectively exhaustive list of causes of health loss is crucial to understanding its impact and ensuring that health funding and policy address needs at both local and global levels through cost-effective and evidence-based interventions. A global epidemiological transition remains underway. Our findings suggest that prioritising non-communicable disease prevention and treatment policies, as well as strengthening health systems, continues to be crucially important. The progress on reducing the burden of CMNN diseases must not stall; although global trends are improving, the burden of CMNN diseases remains unacceptably high. Evidence-based interventions will help save the lives of young children and mothers and improve the overall health and economic conditions of societies across the world. Governments and multilateral organisations should prioritise pandemic preparedness planning alongside efforts to reduce the burden of diseases and injuries that will strain resources in the coming decades. FUNDING Bill & Melinda Gates Foundation.
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Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2162-2203. [PMID: 38762324 DOI: 10.1016/s0140-6736(24)00933-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/11/2024] [Accepted: 05/02/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 risk factors in 204 countries and territories and 811 subnational locations, from 1990 to 2021. METHODS The GBD 2021 risk factor analysis used data from 54 561 total distinct sources to produce epidemiological estimates for 88 risk factors and their associated health outcomes for a total of 631 risk-outcome pairs. Pairs were included on the basis of data-driven determination of a risk-outcome association. Age-sex-location-year-specific estimates were generated at global, regional, and national levels. Our approach followed the comparative risk assessment framework predicated on a causal web of hierarchically organised, potentially combinative, modifiable risks. Relative risks (RRs) of a given outcome occurring as a function of risk factor exposure were estimated separately for each risk-outcome pair, and summary exposure values (SEVs), representing risk-weighted exposure prevalence, and theoretical minimum risk exposure levels (TMRELs) were estimated for each risk factor. These estimates were used to calculate the population attributable fraction (PAF; ie, the proportional change in health risk that would occur if exposure to a risk factor were reduced to the TMREL). The product of PAFs and disease burden associated with a given outcome, measured in disability-adjusted life-years (DALYs), yielded measures of attributable burden (ie, the proportion of total disease burden attributable to a particular risk factor or combination of risk factors). Adjustments for mediation were applied to account for relationships involving risk factors that act indirectly on outcomes via intermediate risks. Attributable burden estimates were stratified by Socio-demographic Index (SDI) quintile and presented as counts, age-standardised rates, and rankings. To complement estimates of RR and attributable burden, newly developed burden of proof risk function (BPRF) methods were applied to yield supplementary, conservative interpretations of risk-outcome associations based on the consistency of underlying evidence, accounting for unexplained heterogeneity between input data from different studies. Estimates reported represent the mean value across 500 draws from the estimate's distribution, with 95% uncertainty intervals (UIs) calculated as the 2·5th and 97·5th percentile values across the draws. FINDINGS Among the specific risk factors analysed for this study, particulate matter air pollution was the leading contributor to the global disease burden in 2021, contributing 8·0% (95% UI 6·7-9·4) of total DALYs, followed by high systolic blood pressure (SBP; 7·8% [6·4-9·2]), smoking (5·7% [4·7-6·8]), low birthweight and short gestation (5·6% [4·8-6·3]), and high fasting plasma glucose (FPG; 5·4% [4·8-6·0]). For younger demographics (ie, those aged 0-4 years and 5-14 years), risks such as low birthweight and short gestation and unsafe water, sanitation, and handwashing (WaSH) were among the leading risk factors, while for older age groups, metabolic risks such as high SBP, high body-mass index (BMI), high FPG, and high LDL cholesterol had a greater impact. From 2000 to 2021, there was an observable shift in global health challenges, marked by a decline in the number of all-age DALYs broadly attributable to behavioural risks (decrease of 20·7% [13·9-27·7]) and environmental and occupational risks (decrease of 22·0% [15·5-28·8]), coupled with a 49·4% (42·3-56·9) increase in DALYs attributable to metabolic risks, all reflecting ageing populations and changing lifestyles on a global scale. Age-standardised global DALY rates attributable to high BMI and high FPG rose considerably (15·7% [9·9-21·7] for high BMI and 7·9% [3·3-12·9] for high FPG) over this period, with exposure to these risks increasing annually at rates of 1·8% (1·6-1·9) for high BMI and 1·3% (1·1-1·5) for high FPG. By contrast, the global risk-attributable burden and exposure to many other risk factors declined, notably for risks such as child growth failure and unsafe water source, with age-standardised attributable DALYs decreasing by 71·5% (64·4-78·8) for child growth failure and 66·3% (60·2-72·0) for unsafe water source. We separated risk factors into three groups according to trajectory over time: those with a decreasing attributable burden, due largely to declining risk exposure (eg, diet high in trans-fat and household air pollution) but also to proportionally smaller child and youth populations (eg, child and maternal malnutrition); those for which the burden increased moderately in spite of declining risk exposure, due largely to population ageing (eg, smoking); and those for which the burden increased considerably due to both increasing risk exposure and population ageing (eg, ambient particulate matter air pollution, high BMI, high FPG, and high SBP). INTERPRETATION Substantial progress has been made in reducing the global disease burden attributable to a range of risk factors, particularly those related to maternal and child health, WaSH, and household air pollution. Maintaining efforts to minimise the impact of these risk factors, especially in low SDI locations, is necessary to sustain progress. Successes in moderating the smoking-related burden by reducing risk exposure highlight the need to advance policies that reduce exposure to other leading risk factors such as ambient particulate matter air pollution and high SBP. Troubling increases in high FPG, high BMI, and other risk factors related to obesity and metabolic syndrome indicate an urgent need to identify and implement interventions. FUNDING Bill & Melinda Gates Foundation.
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Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950-2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:1989-2056. [PMID: 38484753 DOI: 10.1016/s0140-6736(24)00476-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 12/08/2023] [Accepted: 03/06/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020-21 COVID-19 pandemic period. METHODS 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. FINDINGS Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5-65·1] decline), and increased during the COVID-19 pandemic period (2020-21; 5·1% [0·9-9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98-5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50-6·01) in 2019. An estimated 131 million (126-137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7-17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8-24·8), from 49·0 years (46·7-51·3) to 71·7 years (70·9-72·5). Global life expectancy at birth declined by 1·6 years (1·0-2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67-8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4-52·7]) and south Asia (26·3% [9·0-44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. INTERPRETATION Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic. FUNDING Bill & Melinda Gates Foundation.
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Feigin VL, Yaria J, Owolabi M. Pragmatic solutions for the global burden of stroke - Authors' reply. Lancet Neurol 2024; 23:334-335. [PMID: 38508827 DOI: 10.1016/s1474-4422(24)00081-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 02/19/2024] [Indexed: 03/22/2024]
Affiliation(s)
- Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland 0627, New Zealand.
| | - Joseph Yaria
- Center for Genomics and Precision Medicine, College of Medicine, University of Ibadan, Ibadan 200212, Nigeria
| | - Mayowa Owolabi
- Center for Genomics and Precision Medicine, College of Medicine, University of Ibadan, Ibadan 200212, Nigeria; University College Hospital, Ibadan, Nigeria; Blossom Specialist Medical Center, Ibadan, Nigeria.
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EA, Ali L, Ali MU, Ali MM, Ali R, Ali S, Ali SSS, Ali Z, Alif SM, Alimohamadi Y, Aliyi AA, Aljofan M, Aljunid SM, Alladi S, Almazan JU, Almustanyir S, Al-Omari B, Alqahtani JS, Alqasmi I, Alqutaibi AY, Al-Shahi Salman R, Altaany Z, Al-Tawfiq JA, Altirkawi KA, Alvis-Guzman N, Al-Worafi YM, Aly H, Aly S, Alzoubi KH, Amani R, Amindarolzarbi A, Amiri S, Amirzade-Iranaq MH, Amu H, Amugsi DA, Amusa GA, Amzat J, Ancuceanu R, Anderlini D, Anderson DB, Andrei CL, Androudi S, Angappan D, Angesom TW, Anil A, Ansari-Moghaddam A, Anwer R, Arafat M, Aravkin AY, Areda D, Ariffin H, Arifin H, Arkew M, Ärnlöv J, Arooj M, Artamonov AA, Artanti KD, Aruleba RT, Asadi-Pooya AA, Asena TF, Asghari-Jafarabadi M, Ashraf M, Ashraf T, Atalell KA, Athari SS, Atinafu BTT, Atorkey P, Atout MMW, Atreya A, Aujayeb A, Avan A, Ayala Quintanilla BP, Ayatollahi H, Ayinde OO, Ayyoubzadeh SM, Azadnajafabad S, Azizi Z, Azizian K, Azzam AY, Babaei M, Badar M, Badiye AD, Baghdadi S, Bagherieh S, Bai R, Baig AA, Balakrishnan S, Balalla S, Baltatu OC, Banach M, Bandyopadhyay S, Banerjee I, Baran MF, Barboza MA, Barchitta M, Bardhan M, Barker-Collo SL, Bärnighausen TW, Barrow A, Bashash D, Bashiri H, Bashiru HA, Basiru A, Basso JD, Basu S, Batiha AMM, Batra K, Baune BT, Bedi N, Begde A, Begum T, Behnam B, Behnoush AH, Beiranvand M, Béjot Y, Bekele A, Belete MA, Belgaumi UI, Bemanalizadeh M, Bender RG, Benfor B, Bennett DA, Bensenor IM, Berice B, Bettencourt PJG, Beyene KA, Bhadra A, Bhagat DS, Bhangdia K, Bhardwaj N, Bhardwaj P, Bhargava A, Bhaskar S, Bhat AN, Bhat V, Bhatti GK, Bhatti JS, Bhatti R, Bijani A, Bikbov B, Bilalaga MM, Biswas A, Bitaraf S, Bitra VR, Bjørge T, Bodolica V, Bodunrin AO, Boloor A, Braithwaite D, Brayne C, Brenner H, Briko A, Bringas Vega ML, Brown J, Budke CM, Buonsenso D, Burkart K, Burns RA, Bustanji Y, Butt MH, Butt NS, Butt ZA, Cabral LS, Caetano dos Santos FL, Calina D, Campos-Nonato IR, Cao C, Carabin H, Cárdenas R, Carreras G, Carvalho AF, Castañeda-Orjuela CA, Casulli A, 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Edinur HA, Eissazade N, Ekholuenetale M, Ekundayo TC, El Nahas N, El Sayed I, Elahi Najafi MA, Elbarazi I, Elemam NM, Elgar FJ, Elgendy IY, Elhabashy HR, Elhadi M, Elilo LT, Ellenbogen RG, Elmeligy OAA, Elmonem MA, Elshaer M, Elsohaby I, Emamverdi M, Emeto TI, Endres M, Esezobor CI, Eskandarieh S, Fadaei A, Fagbamigbe AF, Fahim A, Faramarzi A, Fares J, Farjoud Kouhanjani M, Faro A, Farzadfar F, Fatehizadeh A, Fathi M, Fathi S, Fatima SAF, Feizkhah A, Fereshtehnejad SM, Ferrari AJ, Ferreira N, Fetensa G, Firouraghi N, Fischer F, Fonseca AC, Force LM, Fornari A, Foroutan B, Fukumoto T, Gadanya MA, Gaidhane AM, Galali Y, Galehdar N, Gan Q, Gandhi AP, Ganesan B, Gardner WM, Garg N, Gau SY, Gautam RK, Gebre T, Gebrehiwot M, Gebremeskel GG, Gebreslassie HG, Getacher L, Ghaderi Yazdi B, Ghadirian F, Ghaffarpasand F, Ghanbari R, Ghasemi M, Ghazy RM, Ghimire S, Gholami A, Gholamrezanezhad A, Ghotbi E, Ghozy S, Gialluisi A, Gill PS, Glasstetter LM, Gnedovskaya EV, Golchin A, Golechha M, Goleij P, Golinelli D, Gomes-Neto M, Goulart AC, Goyal A, Gray RJ, Grivna M, Guadie HA, Guan B, Guarducci G, Guicciardi S, Gunawardane DA, Guo H, Gupta B, Gupta R, Gupta S, Gupta VB, Gupta VK, Gutiérrez RA, Habibzadeh F, Hachinski V, Haddadi R, Hadei M, Hadi NR, Haep N, Haile TG, Haj-Mirzaian A, Hall BJ, Halwani R, Hameed S, Hamiduzzaman M, Hammoud A, Han H, Hanifi N, Hankey GJ, Hannan MA, Hao J, Harapan H, Hareru HE, Hargono A, Harlianto NI, Haro JM, Hartman NN, Hasaballah AI, Hasan F, Hasani H, Hasanian M, Hassan A, Hassan S, Hassanipour S, Hassankhani H, Hassen MB, Haubold J, Hay SI, Hayat K, Hegazy MI, Heidari G, Heidari M, Heidari-Soureshjani R, Hesami H, Hezam K, Hiraike Y, Hoffman HJ, Holla R, Hopf KP, Horita N, Hossain MM, Hossain MB, Hossain S, Hosseinzadeh H, Hosseinzadeh M, Hostiuc S, Hu C, Huang J, Huda MN, Hussain J, Hussein NR, Huynh HH, Hwang BF, Ibitoye SE, Ilaghi M, Ilesanmi OS, Ilic IM, Ilic MD, Immurana M, Iravanpour F, Islam SMS, Ismail F, Iso H, Isola G, Iwagami M, Iwu CCD, Iyer M, Jaan A, Jacob L, Jadidi-Niaragh F, Jafari M, Jafarinia M, Jafarzadeh A, Jahankhani K, Jahanmehr N, Jahrami H, Jaiswal A, Jakovljevic M, Jamora RDG, Jana S, Javadi N, Javed S, Javeed S, Jayapal SK, Jayaram S, Jiang H, Johnson CO, Johnson WD, Jokar M, Jonas JB, Joseph A, Joseph N, Joshua CE, Jürisson M, Kabir A, Kabir Z, Kabito GG, Kadashetti V, Kafi F, Kalani R, Kalantar F, Kaliyadan F, Kamath A, Kamath S, Kanchan T, Kandel A, Kandel H, Kanmodi KK, Karajizadeh M, Karami J, Karanth SD, Karaye IM, Karch A, Karimi A, Karimi H, Karimi Behnagh A, Kasraei H, Kassebaum NJ, Kauppila JH, Kaur H, Kaur N, Kayode GA, Kazemi F, Keikavoosi-Arani L, Keller C, Keykhaei M, Khadembashiri MA, Khader YS, Khafaie MA, Khajuria H, Khalaji A, Khamesipour F, Khammarnia M, Khan M, Khan MAB, Khan YH, Khan Suheb MZ, Khanmohammadi S, Khanna T, Khatab K, Khatatbeh H, Khatatbeh MM, Khateri S, Khatib MN, Khayat Kashani HR, Khonji MS, khorashadizadeh F, Khormali M, Khubchandani J, Kian S, Kim G, Kim J, Kim 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R, Tabatabaei SM, Tabatabai S, Tabish M, Taheri M, Tahvildari A, Tajbakhsh A, Tampa M, Tamuzi JJLL, Tan KK, Tang H, Tareke M, Tarigan IU, Tat NY, Tat VY, Tavakoli Oliaee R, Tavangar SM, Tavasol A, Tefera YM, Tehrani-Banihashemi A, Temesgen WA, Temsah MH, Teramoto M, Tesfaye AH, Tesfaye EG, Tesler R, Thakali O, Thangaraju P, Thapa R, Thapar R, Thomas NK, Thrift AG, Ticoalu JHV, Tillawi T, Toghroli R, Tonelli M, Tovani-Palone MR, Traini E, Tran NM, Tran NH, Tran PV, Tromans SJ, Truelsen TC, Truyen TTTT, Tsatsakis A, Tsegay GM, Tsermpini EE, Tualeka AR, Tufa DG, Ubah CS, Udoakang AJ, Ulhaq I, Umair M, Umakanthan S, Umapathi KK, Unim B, Unnikrishnan B, Vaithinathan AG, Vakilian A, Valadan Tahbaz S, Valizadeh R, Van den Eynde J, Vart P, Varthya SB, Vasankari TJ, Vaziri S, Vellingiri B, Venketasubramanian N, Verras GI, Vervoort D, Villafañe JH, Villani L, Vinueza Veloz AF, Viskadourou M, Vladimirov SK, Vlassov V, Volovat SR, Vu LT, Vujcic IS, Wagaye B, Waheed Y, Wahood W, Walde MT, Wang F, Wang S, Wang Y, Wang YP, Waqas M, Waris A, Weerakoon KG, Weintraub RG, Weldemariam AH, Westerman R, Whisnant JL, Wickramasinghe DP, Wickramasinghe ND, Willekens B, Wilner LB, Winkler AS, Wolfe CDA, Wu AM, Wulf Hanson S, Xu S, Xu X, Yadollahpour A, Yaghoubi S, Yahya G, Yamagishi K, Yang L, Yano Y, Yao Y, Yehualashet SS, Yeshaneh A, Yesiltepe M, Yi S, Yiğit A, Yiğit V, Yon DK, Yonemoto N, You Y, Younis MZ, Yu C, Yusuf H, Zadey S, Zahedi M, Zakham F, Zaki N, Zali A, Zamagni G, Zand R, Zandieh GGZ, Zangiabadian M, Zarghami A, Zastrozhin MS, Zeariya MGM, Zegeye ZB, Zeukeng F, Zhai C, Zhang C, Zhang H, Zhang Y, Zhang ZJ, Zhao H, Zhao Y, Zheng P, Zhou H, Zhu B, Zhumagaliuly A, Zielińska M, Zikarg YT, Zoladl M, Murray CJL, Ong KL, Feigin VL, Vos T, Dua T. Global, regional, and national burden of disorders affecting the nervous system, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet Neurol 2024; 23:344-381. [PMID: 38493795 PMCID: PMC10949203 DOI: 10.1016/s1474-4422(24)00038-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 01/23/2024] [Accepted: 01/26/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND Disorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021. METHODS We estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined. FINDINGS Globally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378-521), affecting 3·40 billion (3·20-3·62) individuals (43·1%, 40·5-45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7-26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6-38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5-32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7-2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer. INTERPRETATION As the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed. FUNDING Bill & Melinda Gates Foundation.
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Balabanski AH, Dos Santos A, Woods JA, Mutimer CA, Thrift AG, Kleinig TJ, Suchy-Dicey AM, Siri SRA, Boden-Albala B, Krishnamurthi RV, Feigin VL, Buchwald D, Ranta A, Mienna CS, Zavaleta-Cortijo C, Churilov L, Burchill L, Zion D, Longstreth WT, Tirschwell DL, Anand SS, Parsons MW, Brown A, Warne DK, Harwood M, Barber PA, Katzenellenbogen JM. Incidence of Stroke in Indigenous Populations of Countries With a Very High Human Development Index: A Systematic Review. Neurology 2024; 102:e209138. [PMID: 38354325 DOI: 10.1212/wnl.0000000000209138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 12/01/2023] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Cardiovascular disease contributes significantly to disease burden among many Indigenous populations. However, data on stroke incidence in Indigenous populations are sparse. We aimed to investigate what is known of stroke incidence in Indigenous populations of countries with a very high Human Development Index (HDI), locating the research in the broader context of Indigenous health. METHODS We identified population-based stroke incidence studies published between 1990 and 2022 among Indigenous adult populations of developed countries using PubMed, Embase, and Global Health databases, without language restriction. We excluded non-peer-reviewed sources, studies with fewer than 10 Indigenous people, or not covering a 35- to 64-year minimum age range. Two reviewers independently screened titles, abstracts, and full-text articles and extracted data. We assessed quality using "gold standard" criteria for population-based stroke incidence studies, the Newcastle-Ottawa Scale for risk of bias, and CONSIDER criteria for reporting of Indigenous health research. An Indigenous Advisory Board provided oversight for the study. RESULTS From 13,041 publications screened, 24 studies (19 full-text articles, 5 abstracts) from 7 countries met the inclusion criteria. Age-standardized stroke incidence rate ratios were greater in Aboriginal and Torres Strait Islander Australians (1.7-3.2), American Indians (1.2), Sámi of Sweden/Norway (1.08-2.14), and Singaporean Malay (1.7-1.9), compared with respective non-Indigenous populations. Studies had substantial heterogeneity in design and risk of bias. Attack rates, male-female rate ratios, and time trends are reported where available. Few investigators reported Indigenous stakeholder involvement, with few studies meeting any of the CONSIDER criteria for research among Indigenous populations. DISCUSSION In countries with a very high HDI, there are notable, albeit varying, disparities in stroke incidence between Indigenous and non-Indigenous populations, although there are gaps in data availability and quality. A greater understanding of stroke incidence is imperative for informing effective societal responses to socioeconomic and health disparities in these populations. Future studies into stroke incidence in Indigenous populations should be designed and conducted with Indigenous oversight and governance to facilitate improved outcomes and capacity building. REGISTRATION INFORMATION PROSPERO registration: CRD42021242367.
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Affiliation(s)
- Anna H Balabanski
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Angela Dos Santos
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - John A Woods
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Chloe A Mutimer
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Amanda G Thrift
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Timothy J Kleinig
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Astrid M Suchy-Dicey
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Susanna Ragnhild A Siri
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Bernadette Boden-Albala
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Rita V Krishnamurthi
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Valery L Feigin
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Dedra Buchwald
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Annemarei Ranta
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Christina S Mienna
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Carol Zavaleta-Cortijo
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Leonid Churilov
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Luke Burchill
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Deborah Zion
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - W T Longstreth
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - David L Tirschwell
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Sonia S Anand
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Mark W Parsons
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Alex Brown
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Donald K Warne
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Matire Harwood
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - P Alan Barber
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
| | - Judith M Katzenellenbogen
- From the Department of Medicine (A.H.B., A.G.T.), Monash University; Department of Medicine and Neurology (A.H.B., L.C.), University of Melbourne; Department of Stroke Medicine (A.H.B., C.A.M.), Alfred Health, Melbourne; South West Sydney Clinical School (A.D.S.), University of New South Wales, Liverpool; School of Allied Health (J.A.W.), The University of Western Australia, Perth; Department of Neurology (T.J.K.), Royal Adelaide Hospital, Australia; Elson S. Floyd College of Medicine (A.M.S.-D.); Institute for Research and Education to Advance Community Health (A.M.S.-D., D.B.), Washington State University, Spokane; Department of Community Medicine (S.R.A.S.), UiT The Arctic University of Norway, Tromso; Department of Health Society and Behavior (B.B.-A.); Department of Epidemiology and Biostatistics (B.B.-A.); Department of Neurology School of Medicine (B.B.-A.), University of California, Irvine; National Institute for Stroke and Applied Neurosciences (R.V.K., V.L.F.), Auckland University of Technology; Department of Medicine (A.R.), University of Otago, Wellington, New Zealand; Department of Odontology (C.S.M.); Várdduo - Centre for Sámi research (C.S.M.), Umeå University, Sweden; Unidad de Ciudadanía Intercultural y Salud Indígena (C.Z.-C.), Universidad Peruana Cayetano Heredia, Lima, Peru; Department of Medicine (L.B.), Royal Melbourne Hospital; Human Research Ethics Committee (D.Z.), Victoria University, Melbourne, Australia; Department of Neurology (W.T.L., D.L.T.); Department of Epidemiology (W.T.L.), University of Washington, Seattle; Department of Medicine (S.S.A.), McMaster University, Hamilton; Canada and Population Health Research Institute (S.S.A.), Hamilton Health Sciences; Department of Neurology (M.W.P.), Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research (M.W.P.); National Centre for Indigenous Genomics (A.B.), Telethon Kids Institute and The Australian National University, Canberra; Bloomberg School of Public Health (D.K.W.), Johns Hopkins University, Baltimore, MD; Faculty of Medical and Health Sciences (M.H., P.A.B.), University of Auckland, New Zealand; and Cardiovascular Epidemiology Research Centre (J.M.K.), School of Population and Global Health, The University of Western Australia, Perth
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11
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Renedo D, Acosta JN, Leasure AC, Sharma R, Krumholz HM, de Havenon A, Alahdab F, Aravkin AY, Aryan Z, Bärnighausen TW, Basu S, Burkart K, Coberly K, Criqui MH, Dai X, Desai R, Dharmaratne SD, Doshi R, Elgendy IY, Feigin VL, Filip I, Gad MM, Ghozy S, Hafezi-Nejad N, Kalani R, Karaye IM, Kisa A, Krishnamoorthy V, Lo W, Mestrovic T, Miller TR, Misganaw A, Mokdad AH, Murray CJL, Natto ZS, Radfar A, Ram P, Roth GA, Seylani A, Shah NS, Sharma P, Sheikh A, Singh JA, Song S, Sotoudeh H, Vervoort D, Wang C, Xiao H, Xu S, Zand R, Falcone GJ, Sheth KN. Burden of Ischemic and Hemorrhagic Stroke Across the US From 1990 to 2019. JAMA Neurol 2024; 81:2815830. [PMID: 38436973 PMCID: PMC10913004 DOI: 10.1001/jamaneurol.2024.0190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 01/18/2024] [Indexed: 03/05/2024]
Abstract
Importance Stroke is a leading cause of death and disability in the US. Accurate and updated measures of stroke burden are needed to guide public health policies. Objective To present burden estimates of ischemic and hemorrhagic stroke in the US in 2019 and describe trends from 1990 to 2019 by age, sex, and geographic location. Design, Setting, and Participants An in-depth cross-sectional analysis of the 2019 Global Burden of Disease study was conducted. The setting included the time period of 1990 to 2019 in the US. The study encompassed estimates for various types of strokes, including all strokes, ischemic strokes, intracerebral hemorrhages (ICHs), and subarachnoid hemorrhages (SAHs). The 2019 Global Burden of Disease results were released on October 20, 2020. Exposures In this study, no particular exposure was specifically targeted. Main Outcomes and Measures The primary focus of this analysis centered on both overall and age-standardized estimates, stroke incidence, prevalence, mortality, and DALYs per 100 000 individuals. Results In 2019, the US recorded 7.09 million prevalent strokes (4.07 million women [57.4%]; 3.02 million men [42.6%]), with 5.87 million being ischemic strokes (82.7%). Prevalence also included 0.66 million ICHs and 0.85 million SAHs. Although the absolute numbers of stroke cases, mortality, and DALYs surged from 1990 to 2019, the age-standardized rates either declined or remained steady. Notably, hemorrhagic strokes manifested a substantial increase, especially in mortality, compared with ischemic strokes (incidence of ischemic stroke increased by 13% [95% uncertainty interval (UI), 14.2%-11.9%]; incidence of ICH increased by 39.8% [95% UI, 38.9%-39.7%]; incidence of SAH increased by 50.9% [95% UI, 49.2%-52.6%]). The downturn in stroke mortality plateaued in the recent decade. There was a discernible heterogeneity in stroke burden trends, with older adults (50-74 years) experiencing a decrease in incidence in coastal areas (decreases up to 3.9% in Vermont), in contrast to an uptick observed in younger demographics (15-49 years) in the South and Midwest US (with increases up to 8.4% in Minnesota). Conclusions and Relevance In this cross-sectional study, the declining age-standardized stroke rates over the past 3 decades suggest progress in managing stroke-related outcomes. However, the increasing absolute burden of stroke, coupled with a notable rise in hemorrhagic stroke, suggests an evolving and substantial public health challenge in the US. Moreover, the significant disparities in stroke burden trends across different age groups and geographic locations underscore the necessity for region- and demography-specific interventions and policies to effectively mitigate the multifaceted and escalating burden of stroke in the country.
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Affiliation(s)
- Daniela Renedo
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut
| | - Julian N. Acosta
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
| | - Audrey C. Leasure
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
| | - Richa Sharma
- Yale Center for Brain & Mind Health, Yale School of Medicine, New Haven, Connecticut
| | - Harlan M. Krumholz
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
| | - Adam de Havenon
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
| | - Fares Alahdab
- Evidence-Based Practice Center, Mayo Clinic Foundation for Medical Education and Research, Rochester, Minnesota
| | - Aleksandr Y. Aravkin
- Department of Applied Mathematics, University of Washington, Seattle
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Zahra Aryan
- Brigham and Women’s Hospital, Harvard University, Boston, Massachusetts
- Non-communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Till Winfried Bärnighausen
- Heidelberg Institute of Global Health (HIGH), Heidelberg University, Heidelberg, Germany
- T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Sanjay Basu
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of General Internal Medicine, San Francisco General Hospital, San Francisco, California
| | - Katrin Burkart
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Kaleb Coberly
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Michael H. Criqui
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla
| | - Xiaochen Dai
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Rupak Desai
- Division of Cardiology, Atlanta Veterans Affairs Medical Center, Decatur, Georgia
| | - Samath Dhamminda Dharmaratne
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
- Department of Community Medicine, University of Peradeniya, Peradeniya, Sri Lanka
| | - Rajkumar Doshi
- Department of Cardiology, St. Joseph’s University Medical Center, Paterson, New Jersey
| | - Islam Y. Elgendy
- Division of Cardiovascular Medicine, Gill Heart Institute, University of Kentucky, Lexington
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
| | - Valery L. Feigin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
- Research Center of Neurology, Moscow, Russia
| | - Irina Filip
- Avicenna Medical and Clinical Research Institute, Oak Lawn, Illinois
| | - Mohamed M. Gad
- Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio
- Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill
| | - Sherief Ghozy
- Department of Radiology, Mayo Clinic, Rochester, Minnesota
| | - Nima Hafezi-Nejad
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland
| | - Rizwan Kalani
- Department of Neurology, University of Washington, Seattle
| | - Ibraheem M. Karaye
- School of Health Professions and Human Services, Hofstra University, Hempstead, New York
- Department of Anesthesiology, Montefiore Medical Center, Bronx, New York
| | - Adnan Kisa
- School of Health Sciences, Kristiania University College, Oslo, Norway
- Department of International Health and Sustainability, Tulane University, New Orleans, Louisiana
| | - Vijay Krishnamoorthy
- Department of Anesthesiology, Duke University, Durham, North Carolina
- Department of Anesthesiology & Pain Medicine, University of Washington, Seattle
| | - Warren Lo
- Department of Pediatrics, Ohio State University, Columbus
- Department of Neurology, Nationwide Children’s Hospital, Columbus, Ohio
| | - Tomislav Mestrovic
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- University Centre Varazdin, University North, Varazdin, Croatia
| | - Ted R. Miller
- Pacific Institute for Research & Evaluation, Calverton, Maryland
- School of Public Health, Curtin University, Perth, Western Australia, Australia
| | - Awoke Misganaw
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
- School of Public Health, College of Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
| | - Ali H. Mokdad
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Christopher J. L. Murray
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Zuhair S. Natto
- Department of Dental Public Health, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Health Policy and Oral Epidemiology, Harvard University, Boston, Massachusetts
| | - Amir Radfar
- College of Medicine, University of Central Florida, Orlando
| | - Pradhum Ram
- Division of Cardiology, UPMC Western Maryland, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Gregory A. Roth
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
- Division of Cardiology, University of Washington, Seattle
| | - Allen Seylani
- National Heart, Lung, and Blood Institute, National Institute of Health, Rockville, Maryland
| | - Nilay S. Shah
- Department of Medicine (Cardiology), Northwestern University, Chicago, Illinois
| | - Purva Sharma
- Department of Medical Oncology, Kent Hospital, Warwick, Rhode Island
| | - Aziz Sheikh
- Usher Institute, University of Edinburgh, United Kingdom
| | - Jasvinder A. Singh
- School of Medicine, University of Alabama at Birmingham, Birmingham
- Medicine Service, US Department of Veterans Affairs (VA), Birmingham, Alabama
| | - Suhang Song
- Department of Health Policy and Management, University of Georgia College of Public Health, Athens
| | - Houman Sotoudeh
- Department of Radiology, University of Alabama at Birmingham, Birmingham
| | - Dominique Vervoort
- Department of Health Policy and Management, Johns Hopkins University, Baltimore, Maryland
| | - Cong Wang
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Hong Xiao
- Department of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Suowen Xu
- Department of Endocrinology, University of Science and Technology of China, Hefei, China
- Max-Planck-Institute for Heart and Lung Research, Bad Nauheim, Germany
| | - Ramin Zand
- Department of Neurology, Pennsylvania State University College of Medicine, Hershey
| | - Guido J. Falcone
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
- Yale Center for Brain & Mind Health, Yale School of Medicine, New Haven, Connecticut
| | - Kevin N. Sheth
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut
- Yale Center for Brain & Mind Health, Yale School of Medicine, New Haven, Connecticut
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Feigin VL, Martins SC, Brainin M, Norrving B, Kamenova S, Giniyat A, Kondybayeva A, Aldyngurov DK, Bapayeva M, Zhanuzakov M, Hankey GJ. Twenty years on from the introduction of the high risk strategy for stroke and cardiovascular disease prevention: a systematic scoping review. Eur J Neurol 2024; 31:e16157. [PMID: 38009814 DOI: 10.1111/ene.16157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 11/01/2023] [Accepted: 11/02/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND AND PURPOSE Early this century, the high risk strategy of primary stroke and cardiovascular disease (CVD) prevention for individuals shifted away from identifying (and treating, as appropriate) all at-risk individuals towards identifying and treating individuals who exceed arbitrary thresholds of absolute CVD risk. The public health impact of this strategy is uncertain. METHODS In our systematic scoping review, the electronic databases (Scopus, MEDLINE, Embase, Google Scholar, Cochrane Library) were searched to identify and appraise publications related to primary CVD/stroke prevention strategies and their effectiveness published in any language from January 1990 to August 2023. RESULTS No published randomized controlled trial was found on the effectiveness of the high CVD risk strategy for primary stroke/CVD prevention. Targeting high CVD risk individuals excludes a large proportion of the population from effective blood-pressure-lowering and lipid-lowering treatment and effective CVD prevention. There is also evidence that blood pressure lowering and lipid lowering are beneficial irrespective of blood pressure and cholesterol levels and irrespective of absolute CVD risk and that risk-stratified pharmacological management of blood pressure and lipids to only high CVD risk individuals leads to significant underuse of blood-pressure-lowering and lipid-lowering medications in individuals otherwise eligible for such treatment. CONCLUSIONS Primary stroke and CVD prevention needs to be done in all individuals with increased risk of CVD/stroke. Pharmacological management of blood pressure and blood cholesterol should not be solely based on the high CVD risk treatment thresholds. International guidelines and global strategies for primary CVD/stroke prevention need to be revised.
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Affiliation(s)
- Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand
- Institute for Health Metrics Evaluation, University of Washington, Seattle, Washington, USA
| | - Sheila C Martins
- Hospital de Clínicas de Porto Alegre, Hospital Moinhos de Vento, Porto Alegre, Brazil
| | - Michael Brainin
- Department of Neuroscience and Preventive Medicine, Danube University Krems, Krems, Austria
| | - Bo Norrving
- Department of Clinical Sciences, Skåne University Hospital, Lund University, Lund, Sweden
- Department of Neurology, Skåne University Hospital, Lund University, Lund, Sweden
| | - Saltanat Kamenova
- Asfendiyarov Kazakh National Medical University, Almaty, Republic of Kazakhstan
| | - Azhar Giniyat
- Minister of Healthcare of the Republic of Kazakhstan, Astana, Republic of Kazakhstan
| | - Aida Kondybayeva
- Asfendiyarov Kazakh National Medical University, Almaty, Republic of Kazakhstan
| | - Daulet K Aldyngurov
- Department of Science and Human Resource, Ministry of Healthcare of the Republic of Kazakhstan, Astana, Republic of Kazakhstan
| | - Magripa Bapayeva
- Department of Internal Medicine, Kazakhstan Medical University «KSPH», Almaty, Republic of Kazakhstan
| | - Murat Zhanuzakov
- Higher School of Medicine, al-Farabi Kazakh National University, Almaty, Republic of Kazakhstan
| | - Graeme J Hankey
- Perron Institute Chair in Stroke Research, Medical School, University of Western Australia, Perth, Western Australia, Australia
- Perron Institute for Neurological and Translational Science, Perth, Western Australia, Australia
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13
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Truong QC, Choo C, Numbers K, Merkin AG, Sachdev PS, Feigin VL, Brodaty H, Kochan NA, Medvedev ON. Enhancing precision of the 16-item Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE-16) using Rasch methodology. Int Psychogeriatr 2024; 36:166-176. [PMID: 34794521 DOI: 10.1017/s1041610221002568] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE This study aimed to investigate psychometric properties and enhance precision of the 16-item Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE-16) up to interval-level scale using Rasch methodology. DESIGN Partial Credit Rasch model was applied to the IQCODE-16 scores using longitudinal data spanning 10 years of biennial follow-up. SETTING Community-dwelling older adults aged 70-90 years and their informants, living in Sydney, Australia, participated in the longitudinal Sydney Memory and Ageing Study (MAS). PARTICIPANTS The sample included 400 participants of the MAS aged 70 years and older, 109 out of those were diagnosed with dementia 10 years after the baseline assessment. MEASUREMENTS The IQCODE-16. RESULTS Initial analysis indicated excellent reliability of the IQCODE-16, Person Separation Index (PSI) = 0.92, but there were four misfitting items and local dependency issues. Combining locally dependent items into four super-items resulted in the best Rasch model fit with no misfitting or locally dependent items, strict unidimensionality, strong reliability, and invariance across person factors such as participants' diagnosis and relationship to their informants, as well as informants' age and sex. This permitted the generation of conversion algorithms to transform ordinal scores into interval data to enhance precision of measurement. CONCLUSIONS The IQCODE-16 demonstrated strong reliability and satisfied expectations of the unidimensional Rasch model after minor modifications. Ordinal-to-interval transformation tables published here can be used to increase accuracy of the IQCODE-16 without altering its current format. These findings could contribute to enhancement of precision in assessing clinical conditions such as cognitive decline in older people.
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Affiliation(s)
- Quoc Cuong Truong
- School of Psychology, University of Waikato, Hamilton, New Zealand
- Faculty of Psychology, Vietnam National University Ho Chi Minh City, University of Social Sciences and Humanities, Ho Chi Minh City, Vietnam
| | - Carol Choo
- College of Healthcare Sciences, Division of Tropical Health and Medicine, James Cook University, Queensland, Australia
| | - Katya Numbers
- Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, New South Wales, Australia
| | - Alexander G Merkin
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
- Centre for Precise Psychiatry and Neurosciences, Kaufbeuren, Germany
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, New South Wales, Australia
| | - Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
| | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, New South Wales, Australia
| | - Nicole A Kochan
- Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, New South Wales, Australia
| | - Oleg N Medvedev
- School of Psychology, University of Waikato, Hamilton, New Zealand
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Prendes CF, Rantner B, Hamwi T, Stana J, Feigin VL, Stavroulakis K, Tsilimparis N. Burden of Stroke in Europe: An Analysis of the Global Burden of Disease Study Findings From 2010 to 2019. Stroke 2024; 55:432-442. [PMID: 38252754 DOI: 10.1161/strokeaha.122.042022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 09/21/2023] [Indexed: 01/24/2024]
Abstract
BACKGROUND While most European Regions perform well in global comparisons, large discrepancies within stroke epidemiological parameters exist across Europe. The objective of this analysis was to evaluate the stroke burden across European regions and countries in 2019 and its difference to 2010. METHODS The GBD 2019 analytical tools were used to evaluate regional and country-specific estimates of incidence, prevalence, deaths, and disability-adjusted life years of stroke for the European Region as defined by the World Health Organization, with its 53 member countries (EU-53) and for European Union as defined in 2019, with its 28 member countries (EU-28), between 2010 and 2019. Results were analyzed at a regional, subregional, and country level. RESULTS In EU-53, the absolute number of incident and prevalent strokes increased by 2% (uncertainty interval [UI], 0%-4%), from 1 767 280 to 1 802 559 new cases, and by 4% (UI, 3%-5%) between 2010 and 2019, respectively. In EU-28, the absolute number of prevalent strokes and stroke-related deaths increased by 4% (UI, 2%-5%) and by 6% (UI, 1%-10%), respectively. All-stroke age-standardized mortality rates, however, decreased by 18% (UI, -22% to -14%), from 82 to 67 per 100 000 people in the EU-53, and by 15% (UI, -18% to -11%), from 49.3 to 42.0 per 100 000 people in EU-28. Despite most countries presenting reductions in age-adjusted incidence, prevalence, mortality, and disability-adjusted life year rates, these rates remained 1.4×, 1.2×, 1.6×, and 1.7× higher in EU-53 in comparison to the EU-28. CONCLUSIONS EU-53 showed a 2% increase in incident strokes, while they remained stable in EU-28. Age-standardized rates were consistently lower for all-stroke burden parameters in EU-28 in comparison to EU-53, and huge discrepancies in incidence, prevalence, mortality, and disability-adjusted life-year rates were observed between individual countries.
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Affiliation(s)
- Carlota F Prendes
- Department of Vascular Surgery, Ludwig Maximilians University, Munich, Germany (C.F.P., B.R., T.H., J.S., K.S., N.T.)
| | - Barbara Rantner
- Department of Vascular Surgery, Ludwig Maximilians University, Munich, Germany (C.F.P., B.R., T.H., J.S., K.S., N.T.)
| | - Tarek Hamwi
- Department of Vascular Surgery, Ludwig Maximilians University, Munich, Germany (C.F.P., B.R., T.H., J.S., K.S., N.T.)
| | - Jan Stana
- Department of Vascular Surgery, Ludwig Maximilians University, Munich, Germany (C.F.P., B.R., T.H., J.S., K.S., N.T.)
| | - Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, New Zealand (V.L.F.)
- Institute for Health Metrics and Evaluation, University of Washington, Seattle (V.L.F.)
- Research Center of Neurology, Moscow, Russia (V.L.F.)
| | - Konstantinos Stavroulakis
- Department of Vascular Surgery, Ludwig Maximilians University, Munich, Germany (C.F.P., B.R., T.H., J.S., K.S., N.T.)
| | - Nikolaos Tsilimparis
- Department of Vascular Surgery, Ludwig Maximilians University, Munich, Germany (C.F.P., B.R., T.H., J.S., K.S., N.T.)
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15
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Krishnamurthi RV, Vandal AC, Barker-Collo S, Mahon S, Barber PA, Arroll B, Rush E, Elder H, Feigin VL. Health and Wellness Coaching for 5-Year Projected Cardiovascular Health: A Randomized Controlled Trial. Neurol Clin Pract 2024; 14:e200220. [PMID: 38197084 PMCID: PMC10775165 DOI: 10.1212/cpj.0000000000200220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 09/22/2023] [Indexed: 01/11/2024]
Abstract
Background and Objectives Evidence of effective multifactorial lifestyle interventions for primary stroke prevention is lacking, despite the significant contribution of lifestyle to stroke burden. We aimed to determine the efficacy of health and wellness coaching (HWC) for primary stroke and cardiovascular disease (CVD) prevention in adults at a moderate-to-high CVD risk. Methods This was a parallel, 2-arm, open-label, single-blinded, phase III randomized controlled trial to determine the efficacy of HWC for primary stroke prevention in individuals 30 years and older with a 5-year CVD risk ≥10% as measured by 5-year absolute CVD risk (as measured by the PREDICT tool) at 9 months post-randomization. Eligible participants were those with a 5-year CVD risk ≥10%, with no history of stroke, transient ischemic attack, or myocardial infarction. The relative risk reduction (RRR) and odds ratios (OR) were evaluated separately in those at moderate (10%-14%) 5-year CVD risk and those at high risk (≥15%) at baseline. The Life's Simple 7 (LS7) score for lifestyle-related CVD risk, as the indicator of cardiovascular health, was a key secondary outcome. Results Of a total of 320 participants, 161 were randomized to the HWC group and 159 to the usual care (UC) group. HWC resulted in a statistically significant RRR of -10.9 (95% CI -21.0 to -0.9) in 5-year CVD risk in the higher CVD risk group but no change in the moderate risk group. An improvement in the total LS7 score was seen in the HWC group compared with the UC group (absolute difference = 0.485, 95% CI [0.073 to 0.897], p = 0.02). Improvement in blood pressure scores was statistically significantly greater in the HWC group than in the UC group for those at high risk of CVD (OR 2.28 [95% CI 1.12 to 4.63] and 1.55 [0.80 to 3.01], respectively). No statistically significant differences in mood scores, medication adherence, quality of life, and satisfaction with life scores over time or between groups were seen. Discussion Health and wellness coaching resulted in a significant RRR in the 5-year CVD risk compared with UC at 9 months post-randomization in patients with a high baseline CVD risk. There was no improvement in CVD risk in the moderate risk group; hence, this study did not meet the primary hypothesis. However, this treatment effect is clinically significant (number needed to treat was 43). The findings suggest that HWC has potential if further refined to improve lifestyle risk factors of stroke.
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Affiliation(s)
- Rita V Krishnamurthi
- National Institute for Stroke and Applied Neurosciences (RVK, SM, ER, VLF), School of Clinical Sciences, Auckland University of Technology; Department of Statistics (ACV), The University of Auckland; Ko Awatea, Counties Manukau Health; Department of Psychology (SB-C); Department of Neurology (PAB); Department of General Practice (BA), The University of Auckland; and Te Whare Wānanga o Awanuiārangi (HE), Auckland, New Zealand
| | - Alain C Vandal
- National Institute for Stroke and Applied Neurosciences (RVK, SM, ER, VLF), School of Clinical Sciences, Auckland University of Technology; Department of Statistics (ACV), The University of Auckland; Ko Awatea, Counties Manukau Health; Department of Psychology (SB-C); Department of Neurology (PAB); Department of General Practice (BA), The University of Auckland; and Te Whare Wānanga o Awanuiārangi (HE), Auckland, New Zealand
| | - Suzanne Barker-Collo
- National Institute for Stroke and Applied Neurosciences (RVK, SM, ER, VLF), School of Clinical Sciences, Auckland University of Technology; Department of Statistics (ACV), The University of Auckland; Ko Awatea, Counties Manukau Health; Department of Psychology (SB-C); Department of Neurology (PAB); Department of General Practice (BA), The University of Auckland; and Te Whare Wānanga o Awanuiārangi (HE), Auckland, New Zealand
| | - Susan Mahon
- National Institute for Stroke and Applied Neurosciences (RVK, SM, ER, VLF), School of Clinical Sciences, Auckland University of Technology; Department of Statistics (ACV), The University of Auckland; Ko Awatea, Counties Manukau Health; Department of Psychology (SB-C); Department of Neurology (PAB); Department of General Practice (BA), The University of Auckland; and Te Whare Wānanga o Awanuiārangi (HE), Auckland, New Zealand
| | - P Alan Barber
- National Institute for Stroke and Applied Neurosciences (RVK, SM, ER, VLF), School of Clinical Sciences, Auckland University of Technology; Department of Statistics (ACV), The University of Auckland; Ko Awatea, Counties Manukau Health; Department of Psychology (SB-C); Department of Neurology (PAB); Department of General Practice (BA), The University of Auckland; and Te Whare Wānanga o Awanuiārangi (HE), Auckland, New Zealand
| | - Bruce Arroll
- National Institute for Stroke and Applied Neurosciences (RVK, SM, ER, VLF), School of Clinical Sciences, Auckland University of Technology; Department of Statistics (ACV), The University of Auckland; Ko Awatea, Counties Manukau Health; Department of Psychology (SB-C); Department of Neurology (PAB); Department of General Practice (BA), The University of Auckland; and Te Whare Wānanga o Awanuiārangi (HE), Auckland, New Zealand
| | - Elaine Rush
- National Institute for Stroke and Applied Neurosciences (RVK, SM, ER, VLF), School of Clinical Sciences, Auckland University of Technology; Department of Statistics (ACV), The University of Auckland; Ko Awatea, Counties Manukau Health; Department of Psychology (SB-C); Department of Neurology (PAB); Department of General Practice (BA), The University of Auckland; and Te Whare Wānanga o Awanuiārangi (HE), Auckland, New Zealand
| | - Hinemoa Elder
- National Institute for Stroke and Applied Neurosciences (RVK, SM, ER, VLF), School of Clinical Sciences, Auckland University of Technology; Department of Statistics (ACV), The University of Auckland; Ko Awatea, Counties Manukau Health; Department of Psychology (SB-C); Department of Neurology (PAB); Department of General Practice (BA), The University of Auckland; and Te Whare Wānanga o Awanuiārangi (HE), Auckland, New Zealand
| | - Valery L Feigin
- National Institute for Stroke and Applied Neurosciences (RVK, SM, ER, VLF), School of Clinical Sciences, Auckland University of Technology; Department of Statistics (ACV), The University of Auckland; Ko Awatea, Counties Manukau Health; Department of Psychology (SB-C); Department of Neurology (PAB); Department of General Practice (BA), The University of Auckland; and Te Whare Wānanga o Awanuiārangi (HE), Auckland, New Zealand
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16
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Feigin VL, Krishnamurthi R, Medvedev O, Merkin A, Nair B, Kravchenko M, Jalili-Moghaddam S, Barker-Collo S, Ratnasabapathy Y, Skinner L, Owolabi M, Norrving B, Sachdev PS, Arroll B, Brainin M, Thrift A, Hankey GJ. Usability and feasibility of PreventS-MD web app for stroke prevention. Int J Stroke 2024; 19:94-104. [PMID: 37485871 DOI: 10.1177/17474930231190745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
BACKGROUND Most strokes and cardiovascular diseases (CVDs) are potentially preventable if their risk factors are identified and well controlled. Digital platforms, such as the PreventS-MD web app (PreventS-MD) may aid health care professionals (HCPs) in assessing and managing risk factors and promoting lifestyle changes for their patients. METHODS This is a mixed-methods cross-sectional two-phase survey using a largely positivist (quantitative and qualitative) framework. During Phase 1, a prototype of PreventS-MD was tested internationally by 59 of 69 consenting HCPs of different backgrounds, age, sex, working experience, and specialties using hypothetical data. Collected comments/suggestions from the study HCPs in Phase 1 were reviewed and implemented. In Phase 2, a near-final version of PreventS-MD was developed and tested by 58 of 72 consenting HCPs using both hypothetical and real patient (n = 10) data. Qualitative semi-structured interviews with real patients (n = 10) were conducted, and 1 month adherence to the preventive recommendations was assessed by self-reporting. The four System Usability Scale (SUS) groups of scores (0-50 unacceptable; 51-68 poor; 68-80.3 good; >80.3 excellent) were used to determine usability of PreventS-MD. FINDINGS Ninety-nine HCPs from 27 countries (45% from low- to middle-income countries) participated in the study, and out of them, 10 HCPs were involved in the development of PreventS before the study, and therefore were not involved in the survey. Of the remaining 89 HCPs, 69 consented to the first phase of the survey, and 59 of them completed the first phase of the survey (response rate 86%), and 58 completed the second phase of the survey (response rate 84%). The SUS scores supported good usability of the prototype (mean score = 80.2; 95% CI [77.0-84.0]) and excellent usability of the final version of PreventS-MD (mean score = 81.7; 95% CI [79.1-84.3]) in the field. Scores were not affected by the age, sex, working experience, or specialty of the HCPs. One-month follow-up of the patients confirmed the high level of satisfaction/acceptability of PreventS-MD and (100%) adherence to the recommendations. INTERPRETATION The PreventS-MD web app has a high level of usability, feasibility, and satisfaction by HCPs and individuals at risk of stroke/CVD. Individuals at risk of stroke/CVD demonstrated a high level of confidence and motivation in following and adhering to preventive recommendations generated by PreventS-MD.
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Affiliation(s)
- Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Rita Krishnamurthi
- National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Oleg Medvedev
- School of Psychology, University of Waikato, Hamilton, New Zealand
| | - Alexander Merkin
- National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Balakrishnan Nair
- National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand
| | | | - Shabnam Jalili-Moghaddam
- National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand
| | | | | | - Luke Skinner
- Te Whatu Ora-Health New Zealand, Waitematā, Auckland, New Zealand
| | - Mayowa Owolabi
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Bo Norrving
- Section of Neurology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales (UNSW), Sydney, NSW, Australia
- Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, NSW, Australia
| | - Bruce Arroll
- Department of General Practice and Primary Health Care, The University of Auckland, Auckland, New Zealand
| | | | - Amanda Thrift
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
| | - Graeme J Hankey
- Medical School, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, WA, Australia
- Perron Institute for Neurological and Translational Science, Perth, WA, Australia
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Feigin VL, Owolabi MO. Pragmatic solutions to reduce the global burden of stroke: a World Stroke Organization-Lancet Neurology Commission. Lancet Neurol 2023; 22:1160-1206. [PMID: 37827183 PMCID: PMC10715732 DOI: 10.1016/s1474-4422(23)00277-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 07/14/2023] [Indexed: 10/14/2023]
Abstract
Stroke is the second leading cause of death worldwide. The burden of disability after a stroke is also large, and is increasing at a faster pace in low-income and middle-income countries than in high-income countries. Alarmingly, the incidence of stroke is increasing in young and middle-aged people (ie, age <55 years) globally. Should these trends continue, Sustainable Development Goal 3.4 (reducing the burden of stroke as part of the general target to reduce the burden of non-communicable diseases by a third by 2030) will not be met. In this Commission, we forecast the burden of stroke from 2020 to 2050. We project that stroke mortality will increase by 50%—from 6·6 million (95% uncertainty interval [UI] 6·0 million–7·1 million) in 2020, to 9·7 million (8·0 million–11·6 million) in 2050—with disability-adjusted life-years (DALYs) growing over the same period from 144·8 million (133·9 million–156·9 million) in 2020, to 189·3 million (161·8 million–224·9 million) in 2050. These projections prompted us to do a situational analysis across the four pillars of the stroke quadrangle: surveillance, prevention, acute care, and rehabilitation. We have also identified the barriers to, and facilitators for, the achievement of these four pillars. Disability-adjusted life-years (DALYs) The sum of the years of life lost as a result of premature mortality from a disease and the years lived with a disability associated with prevalent cases of the disease in a population. One DALY represents the loss of the equivalent of one year of full health On the basis of our assessment, we have identified and prioritised several recommendations. For each of the four pillars (surveillance, prevention, acute care, and rehabilitation), we propose pragmatic solutions for the implementation of evidence-based interventions to reduce the global burden of stroke. The estimated direct (ie, treatment and rehabilitation) and indirect (considering productivity loss) costs of stroke globally are in excess of US$891 billion annually. The pragmatic solutions we put forwards for urgent implementation should help to mitigate these losses, reduce the global burden of stroke, and contribute to achievement of Sustainable Development Goal 3.4, the WHO Intersectoral Global Action Plan on epilepsy and other neurological disorders (2022–2031), and the WHO Global Action Plan for prevention and control of non-communicable diseases. Reduction of the global burden of stroke, particularly in low-income and middle-income countries, by implementing primary and secondary stroke prevention strategies and evidence-based acute care and rehabilitation services is urgently required. Measures to facilitate this goal include: the establishment of a framework to monitor and assess the burden of stroke (and its risk factors) and stroke services at a national level; the implementation of integrated population-level and individual-level prevention strategies for people at any increased risk of cerebrovascular disease, with emphasis on early detection and control of hypertension; planning and delivery of acute stroke care services, including the establishment of stroke units with access to reperfusion therapies for ischaemic stroke and workforce training and capacity building (and monitoring of quality indicators for these services nationally, regionally, and globally); the promotion of interdisciplinary stroke care services, training for caregivers, and capacity building for community health workers and other health-care providers working in stroke rehabilitation; and the creation of a stroke advocacy and implementation ecosystem that includes all relevant communities, organisations, and stakeholders. The Lancet Group takes a neutral position with respect to territorial claims in published maps and institutional affiliations.
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Affiliation(s)
- Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand.
| | - Mayowa O Owolabi
- Centre for Genomics and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria; University College Hospital, Ibadan, Nigeria; Blossom Specialist Medical Centre, Ibadan, Nigeria.
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Hyder AA, Rylance S, Al Saegh A, Feigin VL, Kataria I, Laatikainen T, Lee L, Mahendradhata Y, Marten R, Mikkelsen B, Miranda JJ, Nugent R, Owolabi M, Sullivan R, Virani SS, Reddy KS. Strengthening evidence to inform health systems: opportunities for the WHO and partners to accelerate progress on non-communicable diseases. BMJ Glob Health 2023; 8:e013994. [PMID: 37984893 PMCID: PMC10660806 DOI: 10.1136/bmjgh-2023-013994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 09/30/2023] [Indexed: 11/22/2023] Open
Affiliation(s)
- Adnan A Hyder
- Department of Global Health, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia, USA
| | - Sarah Rylance
- Department of Non Communicable Diseases, World Health Organization, Geneva, Switzerland
| | - Abeer Al Saegh
- Department of Genetics, Sultan Qaboos University, Muscat, Oman
| | - Valery L Feigin
- National, Auckland University of Technology, Auckland, New Zealand
| | - Ishu Kataria
- Center for Global Noncommunicable Diseases, RTI International, New Delhi, India
| | - Tiina Laatikainen
- Institute of Public Health and Clinical Nutrition, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
- Department of Public Health and Social Welfare, Finnish Institute of Health and Welfare, Helsinki, Finland
| | - Liming Lee
- Peking University School of Public Health, Beijing, China
| | - Yodi Mahendradhata
- Department of Health Policy and Management, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Robert Marten
- WHO Alliance for Health Policy and Systems Research, Geneva, Switzerland
| | - Bente Mikkelsen
- NCD Department, World Health Organization, Geneva, Switzerland
| | - J Jaime Miranda
- Universidad Peruana Cayetano Heredia in Lima, Lima, Peru
- Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Rachel Nugent
- Department of Global Health, University of Washington, Washington, Washington, USA
| | - Mayowa Owolabi
- University of Ibadan College of Medicine, Ibadan, Nigeria
| | | | - Salim S Virani
- Health Policy, Quality & Informatics Program, Michael E. DeBakey Veterans Affairs Medical Center HSR&D, Houston, Texas, USA
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Feigin SV, Wiebers DO, Lueddeke G, Morand S, Lee K, Knight A, Brainin M, Feigin VL, Whitfort A, Marcum J, Shackelford TK, Skerratt LF, Winkler AS. Proposed solutions to anthropogenic climate change: A systematic literature review and a new way forward. Heliyon 2023; 9:e20544. [PMID: 37867892 PMCID: PMC10585315 DOI: 10.1016/j.heliyon.2023.e20544] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 09/27/2023] [Accepted: 09/28/2023] [Indexed: 10/24/2023] Open
Abstract
Humanity is now facing what may be the biggest challenge to its existence: irreversible climate change brought about by human activity. Our planet is in a state of emergency, and we only have a short window of time (7-8 years) to enact meaningful change. The goal of this systematic literature review is to summarize the peer-reviewed literature on proposed solutions to climate change in the last 20 years (2002-2022), and to propose a framework for a unified approach to solving this climate change crisis. Solutions reviewed include a transition toward use of renewable energy resources, reduced energy consumption, rethinking the global transport sector, and nature-based solutions. This review highlights one of the most important but overlooked pieces in the puzzle of solving the climate change problem - the gradual shift to a plant-based diet and global phaseout of factory (industrialized animal) farming, the most damaging and prolific form of animal agriculture. The gradual global phaseout of industrialized animal farming can be achieved by increasingly replacing animal meat and other animal products with plant-based products, ending government subsidies for animal-based meat, dairy, and eggs, and initiating taxes on such products. Failure to act will ultimately result in a scenario of irreversible climate change with widespread famine and disease, global devastation, climate refugees, and warfare. We therefore suggest an "All Life" approach, invoking the interconnectedness of all life forms on our planet. The logistics for achieving this include a global standardization of Environmental, Social, and Governance (ESG) or similar measures and the introduction of a regulatory body for verification of such measures. These approaches will help deliver environmental and sustainability benefits for our planet far beyond an immediate reduction in global warming.
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Affiliation(s)
| | | | - George Lueddeke
- Centre for the Study of Resilience and Future Africa, University of Pretoria, Pretoria, South Africa
- Ministry of Environment, Forest and Climate Change (MoEFCC), India
| | - Serge Morand
- Faculty of Veterinary Technology (CNRS), Kasetsart University, Bangkok, Thailand
- Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Kelley Lee
- Pacific Institute on Pathogens, Pandemics and Society, Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
- Global Health Governance, Canada
| | - Andrew Knight
- School of Environment and Science, Nathan Campus, Griffith University, Nathan, QLD, Australia
- Faculty of Health and Wellbeing, University of Winchester, Winchester, UK
| | - Michael Brainin
- Clinical Neurosciences and Preventive Medicine, Danube University Krems, Austria
| | - Valery L. Feigin
- National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Auckland University of Technology, New Zealand
| | - Amanda Whitfort
- Department of Professional Legal Education, Faculty of Law, The University of Hong Kong, Hong Kong
| | - James Marcum
- Department of Philosophy, Baylor University, Waco, TX, USA
| | - Todd K. Shackelford
- Department of Psychology and Center for Evolutionary Psychological Science, Oakland University, Rochester, MI, USA
| | - Lee F. Skerratt
- Melbourne Veterinary School, Faculty of Science, University of Melbourne, Melbourne, Victoria, Australia
| | - Andrea S. Winkler
- Center for Global Health, Department of Neurology, Faculty of Medicine, Technical University of Munich, Munich, Germany
- Department of Community Medicine and Global Health, Institute of Health and Society, Faculty of Medicine, University of Oslo, Norway
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Truong QC, Cervin M, Choo CC, Numbers K, Bentvelzen AC, Merkin AG, Sachdev PS, Feigin VL, Brodaty H, Kochan NA, Medvedev ON. Using network analysis to validate domains of the modified telephone interview for cognitive status. Eur J Clin Invest 2023; 53:e14016. [PMID: 37191060 DOI: 10.1111/eci.14016] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 05/01/2023] [Accepted: 05/04/2023] [Indexed: 05/17/2023]
Abstract
BACKGROUND The modified Telephone Interview for Cognitive Status (TICS-M) is a widely used tool for assessing global cognitive functions and screening for cognitive impairments. The tool was conceptualised to capture various cognitive domains, but the validity of such domains has not been investigated against comprehensive neuropsychological assessments tools. Therefore, this study aimed to explore the associations between the TICS-M domains and neuropsychological domains to evaluate the validity of the TICS-M domains using network analysis. MATERIALS AND METHODS A longitudinal research design was used with a large sample of older adults (aged above 70 years; n = 1037 at the baseline assessment) who completed the TICS-M and comprehensive neuropsychological assessments biennially. We applied network analysis to identify unique links between the TICS-M domains and neuropsychological test scores. RESULTS At baseline, there were weak internal links between the TICS-M domains. The TICS-M memory and language domains were significantly related to their corresponding neuropsychological domains. The TICS-M attention domain had significant associations with executive function and visuospatial abilities. The TICS-M orientation domain was not significantly associated with any of the five neuropsychological domains. Despite an attrition of almost 50% at wave four, weak internal links between the TICS-M domains and most associations between TICS-M and neuropsychological domains that were found initially, remained stable at least over two waves within the 6-year period. CONCLUSIONS This study supports the overall structural validity of the TICS-M screener in assessing enduring global cognitive function. However, separate TICS-M cognitive domains should not be considered equivalent to the analogous neuropsychological domains.
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Affiliation(s)
| | - Matti Cervin
- Department of Clinical Sciences Lund, Child and Adolescent Psychiatry, Faculty of Medicine, Lund University, Lund, Sweden
| | - Carol C Choo
- College of Healthcare Sciences, James Cook University, Townsville, Queensland, Australia
| | - Katya Numbers
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Adam C Bentvelzen
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Alexander G Merkin
- Auckland University of Technology, Auckland, New Zealand
- Centre for Precise Psychiatry and Neurosciences, Kaufbeuren, Germany
- Centre for Precise Psychiatry and Neurosciences, Schaffhausen, Switzerland
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, University of New South Wales, Sydney, New South Wales, Australia
| | | | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Nicole A Kochan
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Oleg N Medvedev
- School of Psychology, University of Waikato, Hamilton, New Zealand
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21
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Winter SF, Walsh D, Grisold W, Jordan JT, Singhi P, Cross JH, Guekht A, Hawrot T, Destrebecq F, Feigin VL, Kariuki SM, Owolabi MO, Singh G, Dietrich J, Craven A, Amos A, Mehndiratta MM, Secco M, Baker GA, Sofia F. Uniting for global brain health: Where advocacy meets awareness. Epilepsy Behav 2023; 145:109295. [PMID: 37348407 DOI: 10.1016/j.yebeh.2023.109295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 05/26/2023] [Accepted: 05/30/2023] [Indexed: 06/24/2023]
Affiliation(s)
- Sebastian F Winter
- International Bureau for Epilepsy (IBE), Washington, DC, USA; OneNeurology Partnership, Brussels, Belgium; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, USA.
| | - Donna Walsh
- International Bureau for Epilepsy (IBE), Washington, DC, USA; OneNeurology Partnership, Brussels, Belgium
| | | | - Justin T Jordan
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, USA
| | - Pratibha Singhi
- International Child Neurology Association (ICNA), Leuven, Belgium
| | - J Helen Cross
- International League Against Epilepsy (ILAE), Flower Mound, TX, USA
| | - Alla Guekht
- International League Against Epilepsy (ILAE), Flower Mound, TX, USA
| | - Tadeusz Hawrot
- OneNeurology Partnership, Brussels, Belgium; European Federation of Neurological Associations (EFNA), Brussels, Belgium
| | - Frédéric Destrebecq
- OneNeurology Partnership, Brussels, Belgium; European Brain Council (EBC), Brussels, Belgium; European Brain Foundation, Brussels, Belgium
| | - Valery L Feigin
- OneNeurology Partnership, Brussels, Belgium; National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, NZ
| | - Symon M Kariuki
- KEMRI-Wellcome Trust Research Programme, Kilifi 80108, Kenya; Department of Psychiatry, University of Oxford, Oxford, UK
| | - Mayowa O Owolabi
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Gagandeep Singh
- Department of Neurology, Dayanand Medical College, Ludhiana 141001, Punjab, India; Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
| | - Jorg Dietrich
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, USA
| | - Audrey Craven
- European Brain Foundation, Brussels, Belgium; Migraine Association of Ireland (MAI), Dublin, Ireland
| | - Action Amos
- International Bureau for Epilepsy (IBE) - African Region
| | - Man Mohan Mehndiratta
- Department of Neurology, BLK Hospital, Rajendra Place, India; International Bureau for Epilepsy (IBE) - South East Asian Region
| | - Mary Secco
- International Bureau for Epilepsy (IBE), Washington, DC, USA
| | - Gus A Baker
- International Bureau for Epilepsy (IBE), Washington, DC, USA
| | - Francesca Sofia
- International Bureau for Epilepsy (IBE), Washington, DC, USA
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22
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Truong QC, Choo C, Numbers K, Bentvelzen A, Merkin AG, Brodaty H, Kochan NA, Feigin VL, Sachdev PS, Medvedev ON. Enhancing precision of the Telephone Interview for Cognitive Status-Modified (TICS-M) using the Rasch model. Psychol Assess 2023:2023-74563-001. [PMID: 37227840 DOI: 10.1037/pas0001233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
The Telephone Interview for Cognitive Status-modified (TICS-M) is a well-established and widely used screening instrument for dementia and assessment of global cognitive function in older people. This study aimed to evaluate the psychometric properties of the TICS-M and to enhance the accuracy of the instrument using Rasch methodology. Partial Credit Rasch model was applied to the TICS-M scores. The sample selected for Rasch analysis consisted of 432 participants aged 70-90 years (M = 78.85, SD = 4.73) including 195 males (237 females), and 132 (30.56%) of whom were diagnosed with dementia after the baseline assessment. Initial analysis indicated good reliability of the TICS-M assessment scores, but there were three misfitting items and local dependency issues. Combining locally dependent and misfitting items into super-items achieved the best Rasch model fit for the TICS-M. This modification improved reliability of the assessment scores and resulted in no misfitting items, no local dependency, strict unidimensionality, and invariance across individual factors such as participants age, sex, diagnosis, and in-person neuropsychological assessment scores. Satisfying Rasch model expectations allowed for creation of a transformation table to convert raw TICS-M scores into interval-level data, which improves precision of the instrument. In summary, the TICS-M assessment scores demonstrated excellent reliability as reflected by Person Separation Index (PSI = 0.86) and met expectations of the unidimensional Rasch model after minor adjustments. The ordinal-to-interval transformation table can be used to increase accuracy of the TICS-M without altering its current format. These findings contribute to more accurate assessments of cognitive decline in older people and screening for conditions such as dementia. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
| | - Carol Choo
- College of Healthcare Sciences, James Cook University
| | - Katya Numbers
- School of Psychiatry, Centre for Healthy Brain Ageing, University of New South
| | - Adam Bentvelzen
- School of Psychiatry, Centre for Healthy Brain Ageing, University of New South
| | - Alexander G Merkin
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology
| | - Henry Brodaty
- School of Psychiatry, Centre for Healthy Brain Ageing, University of New South
| | - Nicole A Kochan
- School of Psychiatry, Centre for Healthy Brain Ageing, University of New South
| | - Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology
| | - Perminder S Sachdev
- School of Psychiatry, Centre for Healthy Brain Ageing, University of New South
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23
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Feigin VL, Brainin M, Martins SCO. The polypill from a public-health perspective. Lancet Neurol 2023; 22:294-295. [PMID: 36931800 DOI: 10.1016/s1474-4422(23)00090-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 02/27/2023] [Indexed: 03/17/2023]
Affiliation(s)
- Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland 0627, New Zealand.
| | - Michael Brainin
- Department of Neuroscience and Preventive Medicine, Danube University Krems, Krems an der Donau, Austria
| | - Sheila C O Martins
- Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Hospital Moinhos de Vento, Porto Alegre, Brazil; Brazilian Stroke Network, Porto Alegre, Brazil
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24
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Denison HJ, Corbin M, Douwes J, Thompson SG, Harwood M, Davis A, Fink JN, Barber PA, Gommans JH, Cadilhac DA, Levack W, McNaughton H, Kim J, Feigin VL, Abernethy V, Girvan J, Wilson A, Ranta A. Ethnic differences in stroke outcomes in Aotearoa New Zealand: A national linkage study. Int J Stroke 2023:17474930231164024. [PMID: 36872640 DOI: 10.1177/17474930231164024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
Abstract
BACKGROUND Ethnic differences in post-stroke outcomes have been largely attributed to biological and socioeconomic characteristics resulting in differential risk factor profiles and stroke subtypes, but evidence is mixed. AIMS This study assessed ethnic differences in stroke outcome and service access in New Zealand (NZ) and explored underlying causes in addition to traditional risk factors. METHODS This national cohort study used routinely collected health and social data to compare post-stroke outcomes between NZ Europeans, Māori, Pacific Peoples, and Asians, adjusting for differences in baseline characteristics, socioeconomic deprivation, and stroke characteristics. First and principal stroke public hospital admissions during November 2017 to October 2018 were included (N = 6879). Post-stroke unfavorable outcome was defined as being dead, changing residence, or becoming unemployed. RESULTS In total, 5394 NZ Europeans, 762 Māori, 369 Pacific Peoples, and 354 Asians experienced a stroke during the study period. Median age was 65 years for Māori and Pacific Peoples, and 71 and 79 years for Asians and NZ Europeans, respectively. Compared with NZ Europeans, Māori were more likely to have an unfavorable outcome at all three time-points (odds ratio (OR) = 1.6 (95% confidence interval (CI) = 1.3-1.9); 1.4 (1.2-1.7); 1.4 (1.2-1.7), respectively). Māori had increased odds of death at all time-points (1.7 (1.3-2.1); 1.5 (1.2-1.9); 1.7 (1.3-2.1)), change in residence at 3 and 6 months (1.6 (1.3-2.1); 1.3 (1.1-1.7)), and unemployment at 6 and 12 months (1.5 (1.1-2.1); 1.5 (1.1-2.1)). There was evidence of differences in post-stroke secondary prevention medication by ethnicity. CONCLUSION We found ethnic disparities in care and outcomes following stroke which were independent of traditional risk factors, suggesting they may be attributable to stroke service delivery rather than patient factors.
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Affiliation(s)
- Hayley J Denison
- Research Centre for Hauora and Health, Massey University, Wellington, New Zealand
| | - Marine Corbin
- Research Centre for Hauora and Health, Massey University, Wellington, New Zealand
| | - Jeroen Douwes
- Research Centre for Hauora and Health, Massey University, Wellington, New Zealand
| | | | - Matire Harwood
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Alan Davis
- Whangarei Hospital, Whangarei, New Zealand
| | - John N Fink
- Christchurch Hospital, Christchurch, New Zealand
| | - P Alan Barber
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | | | - Dominique A Cadilhac
- Department of Medicine, School of Clinical Sciences, Monash University, Clayton, VIC, Australia
| | - William Levack
- Department of Medicine, University of Otago Wellington, Wellington, New Zealand
| | - Harry McNaughton
- Medical Research Institute of New Zealand, Wellington, New Zealand
| | - Joosup Kim
- Department of Medicine, School of Clinical Sciences, Monash University, Clayton, VIC, Australia
| | | | | | | | | | - Anna Ranta
- Department of Medicine, University of Otago Wellington, Wellington, New Zealand
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25
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Balabanski AH, Dos Santos A, Woods JA, Mutimer CA, Thrift AG, Kleinig TJ, Suchy-Dicey AM, Ragnhild Siri S, Boden-Albala B, Krishnamurthi RV, Feigin VL, Buchwald D, Ranta A, Mienna CS, Zavaleta C, Churilov L, Burchill LJ, Zion D, Longstreth WT, Tirschwell DL, Anand SS, Parsons MW, Brown A, Warne DK, Harwood M, Barber A, Katzenellenbogen JM. Abstract 140: The Incidence Of Stroke In Indigenous Populations Of Countries With A Very High Human Development Index: A Systematic Review. Stroke 2023. [DOI: 10.1161/str.54.suppl_1.140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Introduction:
Despite known socioeconomic and health disparities affecting Indigenous populations in developed countries, stroke incidence data are sparse. With Indigenous Advisory Board oversight, we undertook a systematic review to compare Indigenous with non-Indigenous stroke incidence rates in countries with a very high Human Development Index (HDI).
Methods:
We identified population-based stroke incidence studies published from 1990-2022 in Indigenous adult populations of developed countries using PubMed, EMBASE and Global Health databases, without language restriction. We excluded non-peer-reviewed sources, studies with <10 Indigenous people, or studies not covering a 35-64 year minimum age range. Two reviewers independently screened titles, abstracts, and full texts, and extracted data. We assessed quality using "ideal" criteria for population-based stroke incidence studies, the Newcastle-Ottawa Scale for risk of bias, and CONSIDER criteria for Indigenous research.
Results:
Among 13,041 publications, 24 studies (19 full text, 5 abstracts) from 7 countries met inclusion criteria. Compared with respective non-Indigenous populations (Fig 1), age-standardised incidence rates were greater in Aboriginal and Torres Strait Islander Australians (ratios ranging from 1.7-3.2), American Indians (1.2), Sámi of Sweden/Norway (1.08-2.14), and Singaporean Malay (1.7-1.9), with higher rate ratios at younger ages. Studies had substantial heterogeneity in design and risk of bias. Few investigators reported Indigenous stakeholder involvement.
Conclusions:
In countries with a very high HDI, available data suggest marked disparities in stroke incidence in Indigenous populations, although there are gaps in data availability and quality. Indigenous stakeholder involvement in studies is infrequently reported. A greater understanding of stroke incidence in these populations is imperative for informing effective societal responses.
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Affiliation(s)
| | - Angela Dos Santos
- Dept of Medicine and Neurology, Royal Melbourne Hosp, Melbourne, Australia
| | - John A Woods
- Sch of Population and Global Health, Univ of Western Australia, Perth, Australia
| | | | | | | | | | - Susanna Ragnhild Siri
- Dept of Community Medicine, Cntr for Sami Health Rsch, UiT the Arctic Univ of Norway, Tromso, Norway
| | - Bernadette Boden-Albala
- Dept of Population Health and Disease Prevention and Dept of Epidemiology, Univ of California, Irvine, CA
| | | | | | - Dedra Buchwald
- Elson S. Floyd College of Medicine, Washington State Univ, Spokane, WA
| | | | | | - Carol Zavaleta
- Facultad de Salud Pública y Administración, Universidad Peruana Cayetano Heredia, Lima, Peru
| | | | | | - Deborah Zion
- Human Rsch Ethics Committee, Victoria Univ, Melbourne, Australia
| | | | | | | | | | - Alex Brown
- South Australian Health and Med Rsch Institute, Adelaide, Australia
| | - Donald K Warne
- Sch of Medicine and Health Sciences, Univ of North Dakota, Grand Forks, ND
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26
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Feigin VL, Krishnamurthi R, Merkin A, Nair B, Kravchenko M, Jalili-Moghaddam S. Digital solutions for primary stroke and cardiovascular disease prevention: A mass individual and public health approach. Lancet Reg Health West Pac 2022; 29:100511. [PMID: 36605881 PMCID: PMC9808432 DOI: 10.1016/j.lanwpc.2022.100511] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Affiliation(s)
- Valery L. Feigin
- National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Auckland University of Technology, New Zealand
- Institute for Health Metrics Evaluation, University of Washington, Seattle, USA
- Research Centre of Neurology, Moscow, Russia
| | - Rita Krishnamurthi
- National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Auckland University of Technology, New Zealand
| | - Alexander Merkin
- National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Auckland University of Technology, New Zealand
| | - Balakrishnan Nair
- National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Auckland University of Technology, New Zealand
| | | | - Shabnam Jalili-Moghaddam
- National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Auckland University of Technology, New Zealand
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27
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Gangadharan S, Tomari S, Levi CR, Weaver N, Holliday E, Bajorek B, Lasserson D, Valderas JM, Dewey HM, Barber PA, Spratt NJ, Cadilhac DA, Feigin VL, Rothwell PM, Zareie H, Garcia‐Esperon C, Davey A, Najib N, Sales M, Magin P. Rural versus metropolitan comparison of processes of care in the community‐based management of TIA and minor stroke in Australia (an analysis from the INSIST study). Aust J Rural Health 2022; 31:274-284. [PMID: 36382851 DOI: 10.1111/ajr.12950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 10/26/2022] [Accepted: 11/01/2022] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES To compare processes of care and clinical outcomes of community-based management of TIAs and minor strokes (TIAMS) between rural and metropolitan Australia. DESIGN Inception cohort study between 2012 and 2016 with 12-month follow-up after index event (sub-study of INSIST). SETTING Hunter and Manning valley regions of New South Wales, within the referral territory of the John Hunter Hospital Acute Neurovascular Clinic (JHHANC). PARTICIPANTS Consecutive patients of 16 participating general practices, presenting with possible TIAMS to either primary or secondary care. MAIN OUTCOME MEASURES Processes of care (referrals, key management processes, time-based metrics) and clinical outcomes. RESULTS Of 613 participants with possible TIAMS who completed the baseline interview, 298 were adjudicated as having TIAMS (119 from rural, 179 from metropolitan). Mean age was 72.3 years (SD, 10.7) and 127 (43%) were women. Rural participants were more likely to be managed solely by a general practitioner (GP) than metropolitan participants (34% v 20%) and less likely to be referred to a JHHANC specialist (13% v 38%) or have brain magnetic resonance imaging (MRI) [24% v 51%]. Those rural participants who were referred, also waited longer (both p < 0.001). Recurrent stroke, myocardial infarction and death at 12 months were not significantly different between rural and metropolitan participants. CONCLUSIONS Although TIAMS prognosis in rural settings where solely GP care is common is very good, the processes of care in such areas are inferior to metropolitan. This suggests there is further scope to support rural GPs to optimise care of TIAMS patients.
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Affiliation(s)
- Shyam Gangadharan
- Department of Neurology John Hunter Hospital Newcastle New South Wales Australia
- School of Medicine and Public Health University of Newcastle Callaghan New South Wales Australia
| | - Shinya Tomari
- Hunter Medical Research Institute and University of Newcastle Newcastle New South Wales Australia
| | - Christopher R. Levi
- Department of Neurology John Hunter Hospital Newcastle New South Wales Australia
- School of Medicine and Public Health University of Newcastle Callaghan New South Wales Australia
- Hunter Medical Research Institute and University of Newcastle Newcastle New South Wales Australia
- The Sydney Partnership for Health Education, Research and Enterprise Sydney New South Wales Australia
| | - Natasha Weaver
- School of Medicine and Public Health University of Newcastle Callaghan New South Wales Australia
- Hunter Medical Research Institute and University of Newcastle Newcastle New South Wales Australia
| | - Elizabeth Holliday
- School of Medicine and Public Health University of Newcastle Callaghan New South Wales Australia
- Hunter Medical Research Institute and University of Newcastle Newcastle New South Wales Australia
| | - Beata Bajorek
- Hunter Medical Research Institute and University of Newcastle Newcastle New South Wales Australia
- Faculty of Health University of Technology Sydney Broadway New South Wales Australia
| | | | - Jose M. Valderas
- Department of Family Medicine National University Health System Singapore Singapore
| | - Helen M. Dewey
- Faculty of Medicine, Nursing and Health Sciences, Box Hill Hospital Monash University Clayton Victoria Australia
| | | | - Neil J. Spratt
- Department of Neurology John Hunter Hospital Newcastle New South Wales Australia
- Hunter Medical Research Institute and University of Newcastle Newcastle New South Wales Australia
- School of Biomedical Sciences and Pharmacy University of Newcastle Callaghan New South Wales Australia
| | - Dominique A. Cadilhac
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health Monash University Clayton Victoria Australia
- Stroke Group Florey Institute of Neuroscience and Mental Health, University of Melbourne Melbourne Victoria Australia
| | - Valery L. Feigin
- Auckland University of Technology, National Institute for Stroke & Applied Neurosciences Auckland New Zealand
| | - Peter M. Rothwell
- Nuffield Department of Clinical Neuroscience, Centre for Prevention of Stroke and Dementia University of Oxford Oxford UK
| | - Hossein Zareie
- Department of Neurology John Hunter Hospital Newcastle New South Wales Australia
| | - Carlos Garcia‐Esperon
- Department of Neurology John Hunter Hospital Newcastle New South Wales Australia
- School of Medicine and Public Health University of Newcastle Callaghan New South Wales Australia
- Hunter Medical Research Institute and University of Newcastle Newcastle New South Wales Australia
| | - Andrew Davey
- University of Newcastle, Discipline of General Practice Newcastle New South Wales Australia
| | - Nashwa Najib
- University of Newcastle, Discipline of General Practice Newcastle New South Wales Australia
| | - Milton Sales
- Brunker Road General Practice Newcastle New South Wales Australia
| | - Parker Magin
- University of Newcastle, Discipline of General Practice Newcastle New South Wales Australia
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28
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Brainin M, Grisold W, Hankey GJ, Norrving B, Feigin VL. Time to revise primary prevention guidelines for stroke and cardiovascular disease. Lancet Neurol 2022; 21:686-687. [DOI: 10.1016/s1474-4422(22)00264-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 06/24/2022] [Indexed: 11/30/2022]
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29
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Thompson SG, Barber PA, Gommans JH, Cadilhac DA, Davis A, Fink JN, Harwood M, Levack W, McNaughton HK, Feigin VL, Abernethy V, Girvan J, Kim J, Denison H, Corbin M, Wilson A, Douwes J, Ranta A. Geographic Disparities in Stroke Outcomes and Service Access: A Prospective Observational Study. Neurology 2022; 99:e414-e426. [PMID: 35623890 PMCID: PMC9421775 DOI: 10.1212/wnl.0000000000200526] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Accepted: 03/01/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND AND OBJECTIVES International evidence shows that patients treated at nonurban hospitals experience poorer access to key stroke interventions. Evidence for whether this results in poorer outcomes is conflicting and generally based on administrative or voluntary registry data. The aim of this study was to use prospective high-quality comprehensive nationwide patient-level data to investigate the association between hospital geography and outcomes of patients with stroke and access to best-practice stroke care in New Zealand. METHODS This is a prospective, multicenter, nationally representative observational study involving all 28 New Zealand acute stroke hospitals (18 nonurban) and affiliated rehabilitation and community services. Consecutive adults admitted to the hospital with acute stroke between May 1 and October 31, 2018, were captured. Outcomes included functional outcome (modified Rankin Scale [mRS] score shift analysis), functional independence (mRS score 0-2), quality of life (EuroQol 5-dimension, 3-level health-related quality of life questionnaire), stroke/vascular events, and death at 3, 6, and 12 months and proportion accessing thrombolysis, thrombectomy, stroke units, key investigations, secondary prevention, and inpatient/community rehabilitation. Results were adjusted for age, sex, ethnicity, stroke severity/type, comorbid conditions, baseline function, and differences in baseline characteristics. RESULTS Overall, 2,379 patients were eligible (mean [SD] age 75 [13.7] years; 51.2% male; 1,430 urban, 949 nonurban). Patients treated at nonurban hospitals were more likely to score in a higher mRS score category (greater disability) at 3 (adjusted odds ratio [aOR] 1.28, 95% CI 1.07-1.53), 6 (aOR 1.33, 95% CI 1.07-1.65), and 12 (aOR 1.31, 95% CI 1.06-1.62) months and were more likely to have died (aOR 1.57, 95% CI 1.17-2.12) or experienced recurrent stroke and vascular events at 12 months (aOR 1.94, 95% CI 1.14-3.29 and aOR 1.65, 95% CI 1.09-2.52). Fewer nonurban patients received recommended stroke interventions, including endovascular thrombectomy (aOR 0.25, 95% CI 0.13-0.49), acute stroke unit care (aOR 0.60, 95% CI 0.49-0.73), antiplatelet prescriptions (aOR 0.72, 95% CI 0.58-0.88), ≥60 minutes of daily physical therapy (aOR 0.55, 95% CI 0.40-0.77), and community rehabilitation (aOR 0.69, 95% CI 0.56-0.84). DISCUSSION Patients managed at nonurban hospitals experience poorer stroke outcomes and reduced access to key stroke interventions across the entire care continuum. Efforts to improve access to high quality stroke care in nonurban hospitals should be a priority.
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Affiliation(s)
- Stephanie G Thompson
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - P Alan Barber
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - John H Gommans
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Dominique A Cadilhac
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Alan Davis
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - John N Fink
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Matire Harwood
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - William Levack
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Harry K McNaughton
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Valery L Feigin
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Virginia Abernethy
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Jacqueline Girvan
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Joosup Kim
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Hayley Denison
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Marine Corbin
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Andrew Wilson
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Jeroen Douwes
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Annemarei Ranta
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand.
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Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020. Lancet 2022; 400:185-235. [PMID: 35843246 PMCID: PMC9289789 DOI: 10.1016/s0140-6736(22)00847-9] [Citation(s) in RCA: 122] [Impact Index Per Article: 61.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 04/11/2022] [Accepted: 04/26/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND The health risks associated with moderate alcohol consumption continue to be debated. Small amounts of alcohol might lower the risk of some health outcomes but increase the risk of others, suggesting that the overall risk depends, in part, on background disease rates, which vary by region, age, sex, and year. METHODS For this analysis, we constructed burden-weighted dose-response relative risk curves across 22 health outcomes to estimate the theoretical minimum risk exposure level (TMREL) and non-drinker equivalence (NDE), the consumption level at which the health risk is equivalent to that of a non-drinker, using disease rates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020 for 21 regions, including 204 countries and territories, by 5-year age group, sex, and year for individuals aged 15-95 years and older from 1990 to 2020. Based on the NDE, we quantified the population consuming harmful amounts of alcohol. FINDINGS The burden-weighted relative risk curves for alcohol use varied by region and age. Among individuals aged 15-39 years in 2020, the TMREL varied between 0 (95% uncertainty interval 0-0) and 0·603 (0·400-1·00) standard drinks per day, and the NDE varied between 0·002 (0-0) and 1·75 (0·698-4·30) standard drinks per day. Among individuals aged 40 years and older, the burden-weighted relative risk curve was J-shaped for all regions, with a 2020 TMREL that ranged from 0·114 (0-0·403) to 1·87 (0·500-3·30) standard drinks per day and an NDE that ranged between 0·193 (0-0·900) and 6·94 (3·40-8·30) standard drinks per day. Among individuals consuming harmful amounts of alcohol in 2020, 59·1% (54·3-65·4) were aged 15-39 years and 76·9% (73·0-81·3) were male. INTERPRETATION There is strong evidence to support recommendations on alcohol consumption varying by age and location. Stronger interventions, particularly those tailored towards younger individuals, are needed to reduce the substantial global health loss attributable to alcohol. FUNDING Bill & Melinda Gates Foundation.
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Dokova KG, Feigin VL. Trends In Stroke Burden In Central And Eastern Europe 1990-2019. Neuroepidemiology 2022; 56:333-344. [PMID: 35793640 DOI: 10.1159/000525880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 07/04/2022] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION During the last decades there has been wide recognition of the health divide between Western Europe and the former socialist countries from Central and Eastern Europe. However, these have not been assessed in terms of burden of disease and the effect of stroke has not been fully elucidated, especially in terms of time trends. METHODS The West-Eastern European stroke burden was analysed using data from the Global Burden of Stroke (GBD) Study 2019 in terms of disability-adjusted life-years lost (DALYs) and years of life lost (YLL) over the period 1990 - 2019 by gender. Data were extracted on regional (West, Central and East Europe) and country level for the twenty former socialist countries from Central and East Europe according to GBD regional definitions. We focused on the trends of age-standardised stroke burden rates across the three decades and compared them with the average rates for West Europe. MAIN FINDINGS All Central and East European countries experienced a decline in all-cause disease burden between 1990 - 2019 and a gap was confirmed between the East, the Central and the West European region for men, but not for women. The age-standardised stroke rates declined in the three European regions and in all twenty Central and East European countries but at a different pace. The stroke burden among women exhibited the greatest decline in the West -59% [95% UI (-60; -57)] followed by the Central European region -48% [95% UI (-53; -42)] and lowest among women in East Europe -37% [95% UI (-43; -29)]. The decline of stroke burden among Western men was even higher than among women -61% [95% UI (-63; -60)], while in Central Europe it was -43% [95% UI (-50; -37)] and in the East -25% [95% UI (-34; -14)], leading to widening of the gap between East, Central and West Europe in relation to stroke burden. CONCLUSIONS The burden of stroke contributes to the European health gap through preventable premature stroke deaths. There are some very successful countries in stroke burden management from both Central (Slovenia, Czech Republic, Hungary) and East Europe (Estonia), suggesting that closing the health gap between East and West is a realistic aim.
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Affiliation(s)
- Klara G Dokova
- Department of Social Medicine and Health Care Organization, Faculty of Public Health, Medical University, Varna, Bulgaria
| | - Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand
- Institute for Health Metrics Evaluation, University of Washington, Seattle, Washington, USA
- Research Centre of Neurology, Moscow, Russian Federation
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Wiebers DO, Feigin VL, Winkler AS. All Life Protection and Our Collective Future. Neuroepidemiology 2022; 56:147-150. [PMID: 35576913 DOI: 10.1159/000525021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 05/10/2022] [Indexed: 11/19/2022] Open
Abstract
None--this is an editorial.
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Affiliation(s)
- David O Wiebers
- Emeritus Professor of Neurology and Consultant Emeritus in Neurology and Epidemiology, Mayo Clinic and Mayo Foundation, Rochester, Minnesota, USA
| | - Valery L Feigin
- Professor of Neurology and Epidemiology, Director of the National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
| | - Andrea S Winkler
- Specialist Neurologist and Co(joint)-Director of the Center for Global Health, Technical University of Munich, Munich, Germany
- Professor of Global Health and Founding Director of the Centre for Global Health, University of Oslo, Oslo, Norway
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van Essen TA, Lingsma HF, Pisică D, Singh RD, Volovici V, den Boogert HF, Younsi A, Peppel LD, Heijenbrok-Kal MH, Ribbers GM, Walchenbach R, Menon DK, Hutchinson P, Depreitere B, Steyerberg EW, Maas AIR, de Ruiter GCW, Peul WC, Åkerlund C, Amrein K, Andelic N, Andreassen L, Anke A, Antoni A, Audibert G, Azouvi P, Azzolini ML, Bartels R, Barzó P, Beauvais R, Beer R, Bellander BM, Belli A, Benali H, Berardino M, Beretta L, Blaabjerg M, Bragge P, Brazinova A, Brinck V, Brooker J, Brorsson C, Buki A, Bullinger M, Cabeleira M, Caccioppola A, Calappi E, Calvi MR, Cameron P, Carbayo Lozano G, Carbonara M, Castaño-León AM, Cavallo S, Chevallard G, Chieregato A, Citerio G, Clusmann H, Coburn MS, Coles J, Cooper JD, Correia M, Čović A, Curry N, Czeiter E, Czosnyka M, Dahyot-Fizelier C, Dark P, Dawes H, De Keyser V, Degos V, Della Corte F, Đilvesi Đ, Dixit A, Donoghue E, Dreier J, Dulière GL, Ercole A, Esser P, Ezer E, Fabricius M, Feigin VL, Foks K, Frisvold S, Furmanov A, Gagliardo P, Galanaud D, Gantner D, Gao G, George P, Ghuysen A, Giga L, Glocker B, Golubović J, Gomez PA, Gratz J, Gravesteijn B, Grossi F, Gruen RL, Gupta D, Haagsma JA, Haitsma I, Helbok R, Helseth E, Horton L, Huijben J, Jacobs B, Jankowski S, Jarrett M, Jiang JY, Johnson F, Jones K, Karan M, Kolias AG, Kompanje E, Kondziella D, Kornaropoulos E, Koskinen LO, Kovács N, Lagares A, Lanyon L, Laureys S, Lecky F, Ledoux D, Lefering R, Legrand V, Lejeune A, Levi L, Lightfoot R, Maegele M, Majdan M, Manara A, Manley G, Maréchal H, Martino C, Mattern J, McMahon C, Melegh B, Menovsky T, Mikolic A, Misset B, Muraleedharan V, Murray L, Nair N, Negru A, Nelson D, Newcombe V, Nieboer D, Nyirádi J, Oresic M, Ortolano F, Otesile O, Palotie A, Parizel PM, Payen JF, Perera N, Perlbarg V, Persona P, Piippo-Karjalainen A, Pirinen M, Ples H, Polinder S, Pomposo I, Posti JP, Puybasset L, Rădoi A, Ragauskas A, Raj R, Rambadagalla M, Rehorčíková V, Retel Helmrich I, Rhodes J, Richardson S, Richter S, Ripatti S, Rocka S, Roe C, Roise O, Rosand J, Rosenfeld J, Rosenlund C, Rosenthal G, Rossaint R, Rossi S, Rueckert D, Rusnák M, Sahuquillo J, Sakowitz O, Sanchez-Porras R, Sandor J, Schäfer N, Schmidt S, Schoechl H, Schoonman G, Schou RF, Schwendenwein E, Sewalt C, Skandsen T, Smielewski P, Sorinola A, Stamatakis E, Stanworth S, Kowark A, Stevens R, Stewart W, Stocchetti N, Sundström N, Takala R, Tamás V, Tamosuitis T, Taylor MS, Te Ao B, Tenovuo O, Theadom A, Thomas M, Tibboel D, Timmers M, Tolias C, Trapani T, Tudora CM, Unterberg A, Vajkoczy P, Valeinis E, Vallance S, Vámos Z, Van der Jagt M, van der Naalt J, Van der Steen G, van Dijck JT, Van Hecke W, van Heugten C, Van Praag D, Van Veen E, van Wijk R, Vande Vyvere T, Vargiolu A, Vega E, Velt K, Verheyden J, Vespa PM, Vik A, Vilcinis R, von Steinbüchel N, Voormolen D, Vulekovic P, Wang KK, Wiegers E, Williams G, Wilson L, Winzeck S, Wolf S, Yang Z, Ylén P, Zeiler FA, Ziverte A, Zoerle T. Surgery versus conservative treatment for traumatic acute subdural haematoma: a prospective, multicentre, observational, comparative effectiveness study. Lancet Neurol 2022; 21:620-631. [DOI: 10.1016/s1474-4422(22)00166-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 04/04/2022] [Accepted: 04/06/2022] [Indexed: 01/05/2023]
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Abstract
The stroke burden continues to grow across the globe, disproportionally affecting developing countries. This burden cannot be effectively halted and reversed without effective and widely implemented primordial and primary stroke prevention measures, including those on the individual level. The unprecedented growth of smartphone and other digital technologies with digital solutions are now being used in almost every area of health, offering a unique opportunity to improve primordial and primary stroke prevention on the individual level. However, there are several issues that need to be considered to advance development and use this important digital strategy for primordial and primary stroke prevention. Using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines we provide a systematic review of the current knowledge, challenges, and opportunities of digital health in primordial and primary stroke prevention.
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Affiliation(s)
- Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Auckland University of Technology, New Zealand (V.L.F.).,Institute for Health Metrics Evaluation, University of Washington, Seattle (V.L.F.).,Research Centre of Neurology, Moscow, Russia (V.L.F.)
| | - Mayowa Owolabi
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, University College Hospital Ibadan and Blossom Specialist Medical Center, Ibadan, Nigeria (M.O.O.)
| | - Graeme J Hankey
- Medical School, Faculty of Health and Medical Sciences, The University of Western Australia. Department of Neurology, Sir Charles Gairdner Hospital, Perth, Australia (G.J.H.)
| | | | - Sheila C Martins
- Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Hospital Moinhos de Vento & Brazilian Stroke Network (S.M.)
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Truong QC, Choo C, Numbers K, Merkin AG, Brodaty H, Kochan NA, Sachdev PS, Feigin VL, Medvedev ON. Clinical investigation of dynamic and enduring aspects of global cognition in aged population. Eur J Clin Invest 2022; 52:e13681. [PMID: 34528247 DOI: 10.1111/eci.13681] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 09/09/2021] [Accepted: 09/13/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND A major issue in evaluating the cognitive status of ageing populations is a clear distinction between enduring and dynamic aspects of global cognition necessary for evaluating risks of dementia and effectiveness of preventive interventions. MATERIALS AND METHODS Generalizability Theory was applied to investigate dynamic and enduring aspects of global cognition using longitudinal data over 10 years of follow-up. Measures included the Mini-Mental Status Examination (MMSE) and the Telephone Interview for Cognitive Status-modified (TICS-M). The sample (N = 238) included 154 females, mean age = 76.54 years, SD = 3.94 from the Sydney Memory and Ageing Study. RESULTS The MMSE measured dynamic and enduring aspects of cognition to a comparable degree with 56% of variance explained by enduring aspects and 44% by dynamic aspects and showed low sensitivity/high specificity in detecting dementia. A shortened version of the MMSE (MMSE-D8) better captured dynamic aspects of cognition after removing three items less sensitive to change. The TICS-M predominantly measured enduring aspects of cognition (72%) with the remaining 28% due to dynamic aspects and displayed high sensitivity/high specificity for dementia screening. CONCLUSIONS The MMSE measures both dynamic and enduring cognitive aspects and is suitable for general clinical assessments, while the MMSE-D8 can be used to monitor transitory changes of global cognition over time. The TICS-M is more useful for measuring enduring features of cognition and screening for dementia. Our findings highlight the value of generalizability theory to distinguish dynamic and enduring features of cognition, which may contribute to preventive interventions and monitoring cognitive ability over time.
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Affiliation(s)
- Quoc C Truong
- School of Psychology, University of Waikato, Hamilton, New Zealand.,Faculty of Psychology, University of Social Sciences and Humanities, Vietnam National University Ho Chi Minh City, Hồ Chí Minh City, Viet Nam
| | - Carol Choo
- School of Psychology, University of Waikato, Hamilton, New Zealand
| | - Katya Numbers
- University of New South Wales, Sydney, New South Wales, Australia
| | - Alexander G Merkin
- Auckland University of Technology, Auckland, New Zealand.,Centre for Precise Psychiatry and Neurosciences, Kaufbeuren, Germany
| | - Henry Brodaty
- University of New South Wales, Sydney, New South Wales, Australia
| | - Nicole A Kochan
- University of New South Wales, Sydney, New South Wales, Australia
| | | | | | - Oleg N Medvedev
- School of Psychology, University of Waikato, Hamilton, New Zealand
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Nichols E, Steinmetz JD, Vollset SE, Fukutaki K, Chalek J, Abd-Allah F, Abdoli A, Abualhasan A, Abu-Gharbieh E, Akram TT, Al Hamad H, Alahdab F, Alanezi FM, Alipour V, Almustanyir S, Amu H, Ansari I, Arabloo J, Ashraf T, Astell-Burt T, Ayano G, Ayuso-Mateos JL, Baig AA, Barnett A, Barrow A, Baune BT, Béjot Y, Bezabhe WMM, Bezabih YM, Bhagavathula AS, Bhaskar S, Bhattacharyya K, Bijani A, Biswas A, Bolla SR, Boloor A, Brayne C, Brenner H, Burkart K, Burns RA, Cámera LA, Cao C, Carvalho F, Castro-de-Araujo LFS, Catalá-López F, Cerin E, Chavan PP, Cherbuin N, Chu DT, Costa VM, Couto RAS, Dadras O, Dai X, Dandona L, Dandona R, De la Cruz-Góngora V, Dhamnetiya D, Dias da Silva D, Diaz D, Douiri A, Edvardsson D, Ekholuenetale M, El Sayed I, El-Jaafary SI, Eskandari K, Eskandarieh S, Esmaeilnejad S, Fares J, Faro A, Farooque U, Feigin VL, Feng X, Fereshtehnejad SM, Fernandes E, Ferrara P, Filip I, Fillit H, Fischer F, Gaidhane S, Galluzzo L, Ghashghaee A, Ghith N, Gialluisi A, Gilani SA, Glavan IR, Gnedovskaya EV, Golechha M, Gupta R, Gupta VB, Gupta VK, Haider MR, Hall BJ, Hamidi S, Hanif A, Hankey GJ, Haque S, Hartono RK, Hasaballah AI, Hasan MT, Hassan A, Hay SI, Hayat K, Hegazy MI, Heidari G, Heidari-Soureshjani R, Herteliu C, Househ M, Hussain R, Hwang BF, Iacoviello L, Iavicoli I, Ilesanmi OS, Ilic IM, Ilic MD, Irvani SSN, Iso H, Iwagami M, Jabbarinejad R, Jacob L, Jain V, Jayapal SK, Jayawardena R, Jha RP, Jonas JB, Joseph N, Kalani R, Kandel A, Kandel H, Karch A, Kasa AS, Kassie GM, Keshavarz P, Khan MAB, Khatib MN, Khoja TAM, Khubchandani J, Kim MS, Kim YJ, Kisa A, Kisa S, Kivimäki M, Koroshetz WJ, Koyanagi A, Kumar GA, Kumar M, Lak HM, Leonardi M, Li B, Lim SS, Liu X, Liu Y, Logroscino G, Lorkowski S, Lucchetti G, Lutzky Saute R, Magnani FG, Malik AA, Massano J, Mehndiratta MM, Menezes RG, Meretoja A, Mohajer B, Mohamed Ibrahim N, Mohammad Y, Mohammed A, Mokdad AH, Mondello S, Moni MAA, Moniruzzaman M, Mossie TB, Nagel G, Naveed M, Nayak VC, Neupane Kandel S, Nguyen TH, Oancea B, Otstavnov N, Otstavnov SS, Owolabi MO, Panda-Jonas S, Pashazadeh Kan F, Pasovic M, Patel UK, Pathak M, Peres MFP, Perianayagam A, Peterson CB, Phillips MR, Pinheiro M, Piradov MA, Pond CD, Potashman MH, Pottoo FH, Prada SI, Radfar A, Raggi A, Rahim F, Rahman M, Ram P, Ranasinghe P, Rawaf DL, Rawaf S, Rezaei N, Rezapour A, Robinson SR, Romoli M, Roshandel G, Sahathevan R, Sahebkar A, Sahraian MA, Sathian B, Sattin D, Sawhney M, Saylan M, Schiavolin S, Seylani A, Sha F, Shaikh MA, Shaji KS, Shannawaz M, Shetty JK, Shigematsu M, Shin JI, Shiri R, Silva DAS, Silva JP, Silva R, Singh JA, Skryabin VY, Skryabina AA, Smith AE, Soshnikov S, Spurlock EE, Stein DJ, Sun J, Tabarés-Seisdedos R, Thakur B, Timalsina B, Tovani-Palone MR, Tran BX, Tsegaye GW, Valadan Tahbaz S, Valdez PR, Venketasubramanian N, Vlassov V, Vu GT, Vu LG, Wang YP, Wimo A, Winkler AS, Yadav L, Yahyazadeh Jabbari SH, Yamagishi K, Yang L, Yano Y, Yonemoto N, Yu C, Yunusa I, Zadey S, Zastrozhin MS, Zastrozhina A, Zhang ZJ, Murray CJL, Vos T. Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019. Lancet Public Health 2022; 7:e105-e125. [PMID: 34998485 PMCID: PMC8810394 DOI: 10.1016/s2468-2667(21)00249-8] [Citation(s) in RCA: 1018] [Impact Index Per Article: 509.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 09/17/2021] [Accepted: 10/28/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND Given the projected trends in population ageing and population growth, the number of people with dementia is expected to increase. In addition, strong evidence has emerged supporting the importance of potentially modifiable risk factors for dementia. Characterising the distribution and magnitude of anticipated growth is crucial for public health planning and resource prioritisation. This study aimed to improve on previous forecasts of dementia prevalence by producing country-level estimates and incorporating information on selected risk factors. METHODS We forecasted the prevalence of dementia attributable to the three dementia risk factors included in the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 (high body-mass index, high fasting plasma glucose, and smoking) from 2019 to 2050, using relative risks and forecasted risk factor prevalence to predict GBD risk-attributable prevalence in 2050 globally and by world region and country. Using linear regression models with education included as an additional predictor, we then forecasted the prevalence of dementia not attributable to GBD risks. To assess the relative contribution of future trends in GBD risk factors, education, population growth, and population ageing, we did a decomposition analysis. FINDINGS We estimated that the number of people with dementia would increase from 57·4 (95% uncertainty interval 50·4-65·1) million cases globally in 2019 to 152·8 (130·8-175·9) million cases in 2050. Despite large increases in the projected number of people living with dementia, age-standardised both-sex prevalence remained stable between 2019 and 2050 (global percentage change of 0·1% [-7·5 to 10·8]). We estimated that there were more women with dementia than men with dementia globally in 2019 (female-to-male ratio of 1·69 [1·64-1·73]), and we expect this pattern to continue to 2050 (female-to-male ratio of 1·67 [1·52-1·85]). There was geographical heterogeneity in the projected increases across countries and regions, with the smallest percentage changes in the number of projected dementia cases in high-income Asia Pacific (53% [41-67]) and western Europe (74% [58-90]), and the largest in north Africa and the Middle East (367% [329-403]) and eastern sub-Saharan Africa (357% [323-395]). Projected increases in cases could largely be attributed to population growth and population ageing, although their relative importance varied by world region, with population growth contributing most to the increases in sub-Saharan Africa and population ageing contributing most to the increases in east Asia. INTERPRETATION Growth in the number of individuals living with dementia underscores the need for public health planning efforts and policy to address the needs of this group. Country-level estimates can be used to inform national planning efforts and decisions. Multifaceted approaches, including scaling up interventions to address modifiable risk factors and investing in research on biological mechanisms, will be key in addressing the expected increases in the number of individuals affected by dementia. FUNDING Bill & Melinda Gates Foundation and Gates Ventures.
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Thompson SG, Barber PA, Gommans JH, Cadilhac DA, Davis A, Fink JN, Harwood M, Levack W, McNaughton H, Feigin VL, Abernethy V, Girvan J, Denison H, Corbin M, Wilson A, Douwes J, Ranta A. The impact of ethnicity on stroke care access and patient outcomes: a New Zealand nationwide observational study. Lancet Reg Health West Pac 2022; 20:100358. [PMID: 35036976 PMCID: PMC8743211 DOI: 10.1016/j.lanwpc.2021.100358] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Ethnic inequities in stroke care access have been reported internationally but the impact on outcomes remains unclear. In New Zealand, data on ethnic stroke inequities and resultant effects on outcomes are generally limited and conflicting. Methods In a prospective, nationwide, multi-centre observational study, we recruited consecutive adult patients with confirmed stroke from 28 hospitals between 1 May and 31 October 2018. Patient outcomes: favourable functional outcomes (modified Rankin Scale 0-2); quality of life (EQ-5D-3L); stroke/vascular events; and death at three, six and 12 months. Process measures: access to reperfusion therapies, stroke-units, investigations, secondary prevention, rehabilitation. Multivariate regression analyses assessed associations between ethnicity and outcomes and process measures. Findings The cohort comprised 2,379 patients (median age 78 (IQR 66-85); 51·2% male; 76·7% European, 11·5% Māori, 4·8% Pacific peoples, 4·8% Asian). Non-Europeans were younger, had more risk factors, had reduced access to acute stroke units (aOR=0·78, 95%CI, 0·60-0·97), and were less likely to receive a swallow screen within 24 hours of arrival (aOR=0·72, 0·53-0·99) or MRI imaging (OR=0·66, 0·52-0·85). Māori were less frequently prescribed anticoagulants (OR=0·68, 0·47-0·98). Pacific peoples received greater risk factor counselling. Fewer non-Europeans had a favourable mRS score at three (aOR=0·67, 0·47-0·96), six (aOR=0·63, 0·40-0·98) and 12 months (aOR=0·56, 0·36-0·88), and more Māori had died by 12 months (aOR=1·76, 1·07-2·89). Interpretation Non-Europeans, especially Māori, had poorer access to key stroke interventions and experience poorer outcomes. Further optimisation of stroke care targeting high-priority populations are needed to achieve equity. Funding New Zealand Health Research Council (HRC17/037).
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Affiliation(s)
- Stephanie G Thompson
- Department of Medicine, University of Otago, PO Box 7343, Wellington 6242, New Zealand
| | - P Alan Barber
- University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
| | - John H Gommans
- Hawke's Bay District Health Board, Private Bag 9014, Hastings 4156, New Zealand
| | | | - Alan Davis
- Whangarei Hospital, Maunu Road, Private Bag 9742, Whangarei 0148, New Zealand
| | - John N Fink
- Canterbury District Health Board, PO Box 1600, Christchurch 8140, New Zealand
| | - Matire Harwood
- University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
| | - William Levack
- University of Otago Wellington, PO Box 7343, Wellington 6242, New Zealand
| | - Harry McNaughton
- Medical Research Institute of New Zealand, Private Bay 7902, Wellington 6242, New Zealand
| | - Valery L Feigin
- Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand
| | - Virginia Abernethy
- Stroke Foundation New Zealand, PO Box 12482, Wellington 6144, New Zealand
| | | | - Hayley Denison
- Research Centre for Hauora and Heath, Massey University, PO Box 756, Wellington 6140, New Zealand
| | - Marine Corbin
- Research Centre for Hauora and Heath, Massey University, PO Box 756, Wellington 6140, New Zealand
| | - Andrew Wilson
- Wairau Hospital, PO Box 46, Hospital Road, Blenheim 7240
| | - Jeroen Douwes
- Research Centre for Hauora and Heath, Massey University, PO Box 756, Wellington 6140, New Zealand
| | - Annemarei Ranta
- Department of Medicine, University of Otago Wellington, PO Box 7343, Wellington 6242, New Zealand
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Tomari S, Levi CR, Holliday E, Lasserson D, Valderas JM, Dewey HM, Barber PA, Spratt NJ, Cadilhac DA, Feigin VL, Rothwell PM, Zareie H, Garcia-Esperon C, Davey A, Najib N, Sales M, Magin P. One-Year Risk of Stroke After Transient Ischemic Attack or Minor Stroke in Hunter New England, Australia (INSIST Study). Front Neurol 2022; 12:791193. [PMID: 34987471 PMCID: PMC8721144 DOI: 10.3389/fneur.2021.791193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 11/30/2021] [Indexed: 11/13/2022] Open
Abstract
Background: One-year risk of stroke in transient ischemic attack and minor stroke (TIAMS) managed in secondary care settings has been reported as 5-8%. However, evidence for the outcomes of TIAMS in community care settings is limited. Methods: The INternational comparison of Systems of care and patient outcomes In minor Stroke and TIA (INSIST) study was a prospective inception cohort community-based study of patients of 16 general practices in the Hunter-Manning region (New South Wales, Australia). Possible-TIAMS patients were recruited from 2012 to 2016 and followed-up for 12 months post-index event. Adjudication as TIAMS or TIAMS-mimics was by an expert panel. We established 7-days, 90-days, and 1-year risk of stroke, TIA, myocardial infarction (MI), coronary or carotid revascularization procedure and death; and medications use at 24 h post-index event. Results: Of 613 participants (mean age; 70 ± 12 years), 298 (49%) were adjudicated as TIAMS. TIAMS-group participants had ischemic strokes at 7-days, 90-days, and 1-year, at Kaplan-Meier (KM) rates of 1% (95% confidence interval; 0.3, 3.1), 2.1% (0.9, 4.6), and 3.2% (1.7, 6.1), respectively, compared to 0.3, 0.3, and 0.6% of TIAMS-mimic-group participants. At one year, TIAMS-group-participants had twenty-five TIA events (KM rate: 8.8%), two MI events (0.6%), four coronary revascularizations (1.5%), eleven carotid revascularizations (3.9%), and three deaths (1.1%), compared to 1.6, 0.6, 1.0, 0.3, and 0.6% of TIAMS-mimic-group participants. Of 167 TIAMS-group participants who commenced or received enhanced therapies, 95 (57%) were treated within 24 h post-index event. For TIAMS-group participants who commenced or received enhanced therapies, time from symptom onset to treatment was median 9.5 h [IQR 1.8-89.9]. Conclusion: One-year risk of stroke in TIAMS participants was lower than reported in previous studies. Early implementation of antiplatelet/anticoagulant therapies may have contributed to the low stroke recurrence.
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Affiliation(s)
- Shinya Tomari
- Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia
| | - Christopher R Levi
- Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia.,Department of Neurology, John Hunter Hospital, Newcastle, NSW, Australia
| | - Elizabeth Holliday
- Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia.,School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia
| | - Daniel Lasserson
- Warwick Medical School, University of Warwick, Warwick, United Kingdom
| | - Jose M Valderas
- Health Service and Policy Research Group, University of Exeter, Exeter, United Kingdom
| | - Helen M Dewey
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - P Alan Barber
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Neil J Spratt
- Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia.,Department of Neurology, John Hunter Hospital, Newcastle, NSW, Australia
| | - Dominique A Cadilhac
- Stroke and Ageing Research, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia.,Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
| | - Peter M Rothwell
- Nuffield Department of Clinical Neuroscience, Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, United Kingdom
| | - Hossein Zareie
- Department of Neurology, John Hunter Hospital, Newcastle, NSW, Australia
| | - Carlos Garcia-Esperon
- Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia.,Department of Neurology, John Hunter Hospital, Newcastle, NSW, Australia
| | - Andrew Davey
- Discipline of General Practice, University of Newcastle, Newcastle, NSW, Australia
| | - Nashwa Najib
- Discipline of General Practice, University of Newcastle, Newcastle, NSW, Australia
| | - Milton Sales
- Brunker Road General Practice, Newcastle, NSW, Australia
| | - Parker Magin
- Discipline of General Practice, University of Newcastle, Newcastle, NSW, Australia
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Feigin VL, Brainin M, Norrving B, Martins S, Sacco RL, Hacke W, Fisher M, Pandian J, Lindsay P. World Stroke Organization (WSO): Global Stroke Fact Sheet 2022. Int J Stroke 2022; 17:18-29. [PMID: 34986727 DOI: 10.1177/17474930211065917] [Citation(s) in RCA: 506] [Impact Index Per Article: 253.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Stroke remains the second-leading cause of death and the third-leading cause of death and disability combined (as expressed by disability-adjusted life-years lost - DALYs) in the world. The estimated global cost of stroke is over US$721 billion (0.66% of the global GDP). From 1990 to 2019, the burden (in terms of the absolute number of cases) increased substantially (70.0% increase in incident strokes, 43.0% deaths from stroke, 102.0% prevalent strokes, and 143.0% DALYs), with the bulk of the global stroke burden (86.0% of deaths and 89.0% of DALYs) residing in lower-income and lower-middle-income countries (LMIC). This World Stroke Organisation (WSO) Global Stroke Fact Sheet 2022 provides the most updated information that can be used to inform communication with all internal and external stakeholders; all statistics have been reviewed and approved for use by the WSO Executive Committee as well as leaders from the Global Burden of Disease research group.
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Affiliation(s)
- Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
| | - Michael Brainin
- Clinical Neurology, Danube University Krems, Krems an der Donau, Austria
| | - Bo Norrving
- Department of Clinical Sciences, Section of Neurology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Sheila Martins
- Department of Neurology, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Ralph L Sacco
- Department of Neurology, Miller School of Medicine, 5452University of Miami, Miami, FL, USA
| | - Werner Hacke
- Department of Neurology, Ruprecht-Karl-University Heidelberg, Heidelberg, Germany
| | - Marc Fisher
- Neurology faculty at Beth Israel Deaconess Medical Center in Boston, Harvard Medical School, Boston, MA, USA
| | - Jeyaraj Pandian
- Department of Neurology, Christian Medical College, Ludhiana, Punjab, India
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Adams HP, Adeoye O, Albers GW, Alexandrov AV, Amin-Hanjani S, An H, Anderson CS, Anrather J, Aparicio HJ, Arai K, Aronowski J, Atchaneeyasakul K, Audebert H, Auer RN, Awad IA, Ay H, Baltan S, Balu R, Behbahani M, Benavente OR, Bershad EM, Berthaud JV, Blackburn SL, Bonati LH, Bösel J, Bousser MG, Broderick JP, Brown MM, Brown W, Brust JC, Bushnell C, Canhão P, Caplan LR, Carrión-Penagos J, Castellanos M, Caunca MR, Chabriat H, Chamorro A, Chen J, Chen J, Chopp M, Christorforids G, Connolly ES, Cramer SC, Cucchiara BL, Czap AL, Dannenbaum MJ, Davis PH, Dawson TM, Dawson VL, Day AL, De Silva TM, de Sousa DA, Del Brutto VJ, del Zoppo GJ, Derdeyn CP, Di Tullio MR, Diener HC, Diringer MN, Dobkin BH, Dzialowski I, Elkind MS, Elm J, Feigin VL, Ferro JM, Field TS, Fischer M, Fornage M, Furie KL, Garcia-Bonilla L, Giannotta SL, Gobin YP, Goldberg MP, Goldstein LB, Gonzales NR, Greer DM, Grotta JC, Guo R, Gutierrez J, Harmel P, Howard G, Howard VJ, Hwang JY, Iadecola C, Jahan R, Jickling GC, Joutel A, Kasner SE, Katan M, Kellner CP, Khan M, Kidwell CS, Kim H, Kim JS, Kircher CE, Krings T, Krishnamurthi RV, Kurth T, Lansberg MG, Levy EI, Liebeskind DS, Liew SL, Lin DJ, Lisle B, Lo EH, Lyden PD, Maki T, Maragkos GA, Marosfoi M, McCullough LD, Meckler JM, Meschia JF, Messé SR, Mocco J, Mokin M, Mooney MA, Morgenstern LB, Moskowitz MA, Mullen MT, Nägel S, Nedergaard M, Neira JA, Newman S, Nicholson PJ, Norrving B, O’Donnell M, Ofengeim D, Ogata J, Ogilvy CS, Orrù E, Ortega-Gutiérrez S, Padrick MM, Parsha K, Parsons M, Patel NV, Patel VI, Pawlikowska L, Pérez A, Perez-Pinzon MA, Picard JM, Polster SP, Powers WJ, Puetz V, Putaala J, Rabinovich M, Ransom BR, Roa JA, Rosenberg GA, Rossitto CP, Rundek T, Russin JJ, Sacco RL, Safouris A, Samaniego EA, Sansing LH, Satani N, Sattenberg RJ, Saver JL, Savitz SI, Schmidt C, Seshadri S, Sharma VK, Sharp FR, Sheth KN, Siddiqi OK, Singhal AB, Sobey CG, Sommer CJ, Spetzler RF, Stapleton CJ, Strickland BA, Su H, Suarez JI, Takayama H, Tarsia J, Tatlisumak T, Thomas AJ, Thompson JW, Tsivgoulis G, Tournier-Lasserve E, Vidal G, Wakhloo AK, Weksler BB, Willey JZ, Wintermark M, Wong LK, Xi G, Xu J, Yaghi S, Yamaguchi T, Yang T, Yasaka M, Zahuranec DB, Zhang F, Zhang JH, Zheng Z, Zukin RS, Zweifler RM. Contributors. Stroke 2022. [DOI: 10.1016/b978-0-323-69424-7.01002-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Van Praag DL, Wouters K, Van Den Eede F, Wilson L, Maas AI, Åkerlund C, Amrein K, Andelic N, Andreassen L, Anke A, Antoni A, Audibert G, Azouvi P, Azzolini ML, Bartels R, Barzó P, Beauvais R, Beer R, Bellander BM, Belli A, Benali H, Berardino M, Beretta L, Blaabjerg M, Bragge P, Brazinova A, Brinck V, Brooker J, Brorsson C, Buki A, Bullinger M, Cabeleira M, Caccioppola A, Calappi E, Calvi MR, Cameron P, Lozano GC, Carbonara M, Cavallo S, Chevallard G, Chieregato A, Citerio G, Ceyisakar I, Clusmann H, Coburn M, Coles J, Cooper JD, Correia M, Čović A, Curry N, Czeiter E, Czosnyka M, Dahyot-Fizelier C, Dark P, Dawes H, De Keyser V, Degos V, Della Corte F, Boogert HD, Depreitere B, Đilvesi Đ, Dixit A, Donoghue E, Dreier J, Dulière GL, Ercole A, Esser P, Ezer E, Fabricius M, Feigin VL, Foks K, Frisvold S, Furmanov A, Gagliardo P, Galanaud D, Gantner D, Gao G, George P, Ghuysen A, Giga L, Glocker B, Golubovic J, Gomez PA, Gratz J, Gravesteijn B, Grossi F, Gruen RL, Gupta D, Haagsma JA, Haitsma I, Helbok R, Helseth E, Horton L, Huijben J, Hutchinson PJ, Jacobs B, Jankowski S, Jarrett M, Jiang JY, Johnson F, Jones K, Karan M, Kolias AG, Kompanje E, Kondziella D, Koraropoulos E, Koskinen LO, Kovács N, Kowark A, Lagares A, Lanyon L, Laureys S, Lecky F, Ledoux D, Lefering R, Legrand V, Lejeune A, Levi L, Lightfoot R, Lingsma H, Maas AI, Castaño-León AM, Maegele M, Majdan M, Manara A, Manley G, Martino C, Maréchal H, Mattern J, McMahon C, Melegh B, Menon D, Menovsky T, Mikolic A, Misset B, Muraleedharan V, Murray L, Negru A, Nelson D, Newcombe V, Nieboer D, Nyirádi J, Olubukola O, Oresic M, Ortolano F, Palotie A, Parizel PM, Payen JF, Perera N, Perlbarg V, Persona P, Peul W, Piippo-Karjalainen A, Pirinen M, Ples H, Polinder S, Pomposo I, Posti JP, Puybasset L, Radoi A, Ragauskas A, Raj R, Rambadagalla M, Rhodes J, Richardson S, Richter S, Ripatti S, Rocka S, Roe C, Roise O, Rosand J, Rosenfeld JV, Rosenlund C, Rosenthal G, Rossaint R, Rossi S, Rueckert D, Rusnák M, Sahuquillo J, Sakowitz O, Sanchez-Porras R, Sandor J, Schäfer N, Schmidt S, Schoechl H, Schoonman G, Schou RF, Schwendenwein E, Sewalt C, Skandsen T, Smielewski P, Sorinola A, Stamatakis E, Stanworth S, Stevens R, Stewart W, Steyerberg EW, Stocchetti N, Sundström N, Synnot A, Takala R, Tamás V, Tamosuitis T, Taylor MS, Ao BT, Tenovuo O, Theadom A, Thomas M, Tibboel D, Timmers M, Tolias C, Trapani T, Tudora CM, Unterberg A, Vajkoczy P, Vallance S, Valeinis E, Vámos Z, van der Jagt M, Van der Steen G, van der Naalt J, van Dijck JT, van Essen TA, Van Hecke W, van Heugten C, Van Praag D, Vyvere TV, van Wijk RP, Vargiolu A, Vega E, Velt K, Verheyden J, Vespa PM, Vik A, Vilcinis R, Volovici V, von Steinbüchel N, Voormolen D, Vulekovic P, Wang KK, Wiegers E, Williams G, Wilson L, Winzeck S, Wolf S, Yang Z, Ylén P, Younsi A, Zeiler FA, Zelinkova V, Ziverte A, Zoerle T. Neurocognitive correlates of probable posttraumatic stress disorder following traumatic brain injury. Brain and Spine 2022; 2:100854. [PMID: 36248103 PMCID: PMC9560676 DOI: 10.1016/j.bas.2021.100854] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 12/07/2021] [Accepted: 12/16/2021] [Indexed: 01/17/2023]
Abstract
Introduction Neurocognitive problems associated with posttraumatic stress disorder (PTSD) can interact with impairment resulting from traumatic brain injury (TBI). Research question We aimed to identify neurocognitive problems associated with probable PTSD following TBI in a civilian sample. Material and methods The study is part of the CENTER-TBI project (Collaborative European Neurotrauma Effectiveness Research) that aims to better characterize TBI. For this cross-sectional study, we included patients of all severities aged over 15, and a Glasgow Outcome Score Extended (GOSE) above 3. Participants were assessed at six months post-injury on the PTSD Checklist-5 (PCL-5), the Trail Making Test (TMT), the Rey Auditory Verbal Learning Test (RAVLT) and the Cambridge Neuropsychological Test Automated Battery (CANTAB). Primary analysis was a complete case analysis. Regression analyses were performed to investigate the association between the PCL-5 and cognition. Results Of the 1134 participants included in the complete case analysis, 13.5% screened positive for PTSD. Probable PTSD was significantly associated with higher TMT-(B-A) (OR = 1.35, 95% CI: 1.14–1.60, p < .001) and lower RAVLT-delayed recall scores (OR = 0.74, 95% CI: 0.61–0.91, p = .004) after controlling for age, sex, psychiatric history, baseline Glasgow Coma Scale and education. Discussion and conclusion Poorer performance on cognitive tests assessing task switching and, to a lesser extent, delayed verbal recall is associated with probable PTSD in civilians who have suffered TBI. Six months after traumatic brain injury 13.5% of people screen positive for PTSD. Task switching performance and verbal memory are related to probable PTSD. PTSD severity is related to processing speed and task switching performance.
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Owolabi MO, Thrift AG, Mahal A, Ishida M, Martins S, Johnson WD, Pandian J, Abd-Allah F, Yaria J, Phan HT, Roth G, Gall SL, Beare R, Phan TG, Mikulik R, Akinyemi RO, Norrving B, Brainin M, Feigin VL. Primary stroke prevention worldwide: translating evidence into action. Lancet Public Health 2022; 7:e74-e85. [PMID: 34756176 PMCID: PMC8727355 DOI: 10.1016/s2468-2667(21)00230-9] [Citation(s) in RCA: 136] [Impact Index Per Article: 68.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 09/20/2021] [Accepted: 09/20/2021] [Indexed: 02/05/2023]
Abstract
Stroke is the second leading cause of death and the third leading cause of disability worldwide and its burden is increasing rapidly in low-income and middle-income countries, many of which are unable to face the challenges it imposes. In this Health Policy paper on primary stroke prevention, we provide an overview of the current situation regarding primary prevention services, estimate the cost of stroke and stroke prevention, and identify deficiencies in existing guidelines and gaps in primary prevention. We also offer a set of pragmatic solutions for implementation of primary stroke prevention, with an emphasis on the role of governments and population-wide strategies, including task-shifting and sharing and health system re-engineering. Implementation of primary stroke prevention involves patients, health professionals, funders, policy makers, implementation partners, and the entire population along the life course.
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Affiliation(s)
- Mayowa O Owolabi
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria.
| | - Amanda G Thrift
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, VIC, Australia
| | - Ajay Mahal
- Nossal Institute for Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Marie Ishida
- Nossal Institute for Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Sheila Martins
- Department of Neurology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil; Department of Neurology, Universidade Federal do Rio Grande do Sul, Rio Grande do Sul, Brazil; Department of Neurology, Hospital Moinhos de Vento, Porto Alegre, Brazil; Brazilian Stroke Network, São Paulo, Brazil
| | - Walter D Johnson
- School of Public Health, Loma Linda University, Loma Linda, CA, USA
| | - Jeyaraj Pandian
- School of Public Health, Christian Medical College, Ludhiana, Punjab, India
| | - Foad Abd-Allah
- Department of Neurology, Kasr Alainy School of Medicine, Cairo University, Cairo, Egypt
| | - Joseph Yaria
- Department of Neurology, University College Hospital, Ibadan, Nigeria
| | - Hoang T Phan
- Department of Neurology, Monash University, Melbourne, VIC, Australia; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Greg Roth
- Institute for Health Metrics Evaluation, University of Washington, Seattle, WA, USA
| | - Seana L Gall
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Richard Beare
- Monash Health, and Peninsula Clinical School, Monash University, Melbourne, VIC, Australia; Developmental Imaging Group, Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Thanh G Phan
- Department of Neurology, Monash University, Melbourne, VIC, Australia; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Robert Mikulik
- International Clinical Research Center, Neurology Department, St Anne's University Hospital, Masaryk University, Brno, Czech Republic
| | - Rufus O Akinyemi
- Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Bo Norrving
- Department of Clinical Sciences, and Department of Neurology, Skåne University Hospital, Lund University, Lund, Sweden
| | - Michael Brainin
- Department of Neuroscience and Preventive Medicine, Danube University Krems, Krems an der Donau, Austria
| | - Valery L Feigin
- Institute for Health Metrics Evaluation, University of Washington, Seattle, WA, USA; National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand; Scientific and Educational Department, Research Centre of Neurology, Moscow, Russia.
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Krishnamurthi RV, Feigin VL. Global Burden of Stroke. Stroke 2022. [DOI: 10.1016/b978-0-323-69424-7.00014-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Feigin VL. The Evolution of Neuroepidemiology: Marking the 40-Year Anniversary of Publishing Studies on Epidemiology of Neurological Disorders. Neuroepidemiology 2021; 56:2-3. [PMID: 34969037 DOI: 10.1159/000521586] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 12/18/2021] [Indexed: 11/19/2022] Open
Affiliation(s)
- Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
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Affiliation(s)
- Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland 1010, New Zealand.
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Ward JL, Azzopardi PS, Francis KL, Santelli JS, Skirbekk V, Sawyer SM, Kassebaum NJ, Mokdad AH, Hay SI, Abd-Allah F, Abdoli A, Abdollahi M, Abedi A, Abolhassani H, Abreu LG, Abrigo MRM, Abu-Gharbieh E, Abushouk AI, Adebayo OM, Adekanmbi V, Adham D, Advani SM, Afshari K, Agrawal A, Ahmad T, Ahmadi K, Ahmed AE, Aji B, Akombi-Inyang B, Alahdab F, Al-Aly Z, Alam K, Alanezi FM, Alanzi TM, Alcalde-Rabanal JE, Alemu BW, Al-Hajj S, Alhassan RK, Ali S, Alicandro G, Alijanzadeh M, Aljunid SM, Almasi-Hashiani A, Almasri NA, Al-Mekhlafi HM, Alonso J, Al-Raddadi RM, Altirkawi KA, Alvis-Guzman N, Amare AT, Amini S, Aminorroaya A, Amit AML, Amugsi DA, Ancuceanu R, Anderlini D, Andrei CL, Androudi S, Ansari F, Ansari I, Antonio CAT, Anvari D, Anwer R, Appiah SCY, Arabloo J, Arab-Zozani M, Ärnlöv J, Asaad M, Asadi-Aliabadi M, Asadi-Pooya AA, Atout MMW, Ausloos M, Avenyo EK, Avila-Burgos L, Ayala Quintanilla BP, Ayano G, Aynalem YA, Azari S, Azene ZN, Bakhshaei MH, Bakkannavar SM, Banach M, Banik PC, Barboza MA, Barker-Collo SL, Bärnighausen TW, Basu S, Baune BT, Bayati M, Bedi N, Beghi E, Bekuma TT, Bell AW, Bell ML, Benjet C, Bensenor IM, Berhe AK, Berhe K, Berman AE, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bhattarai S, Bhutta ZA, Bijani A, Bikbov B, Biondi A, Birhanu TTM, Biswas RK, Bohlouli S, Bolla SR, Boloor A, Borschmann R, Boufous S, Bragazzi NL, Braithwaite D, Breitborde NJK, Brenner H, Britton GB, Burns RA, Burugina Nagaraja S, Butt ZA, Caetano dos Santos FL, Cámera LA, Campos-Nonato IR, Campuzano Rincon JC, Cárdenas R, Carreras G, Carrero JJ, Carvalho F, Castaldelli-Maia JM, Castañeda-Orjuela CA, Castelpietra G, Catalá-López F, Cerin E, Chandan JS, Chang HY, Chang JC, Charan J, Chattu VK, Chaturvedi S, Choi JYJ, Chowdhury MAK, Christopher DJ, Chu DT, Chung MT, Chung SC, Cicuttini FM, Constantin TV, Costa VM, Dahlawi SMA, Dai H, Dai X, Damiani G, Dandona L, Dandona R, Daneshpajouhnejad P, Darwesh AM, Dávila-Cervantes CA, Davletov K, De la Hoz FP, De Leo D, Dervenis N, Desai R, Desalew A, Deuba K, Dharmaratne SD, Dhungana GP, Dianatinasab M, Dias da Silva D, Diaz D, Didarloo A, Djalalinia S, Dorostkar F, Doshi CP, Doshmangir L, Doyle KE, Duraes AR, Ebrahimi Kalan M, Ebtehaj S, Edvardsson D, El Tantawi M, Elgendy IY, El-Jaafary SI, Elsharkawy A, Eshrati B, Eskandarieh S, Esmaeilnejad S, Esmaeilzadeh F, Esteghamati S, Faro A, Farzadfar F, Fattahi N, Feigin VL, Ferede TY, Fereshtehnejad SM, Fernandes E, Ferrara P, Filip I, Fischer F, Fisher JL, Foigt NA, Folayan MO, Fomenkov AA, Foroutan M, Fukumoto T, Gad MM, Gaidhane AM, Gallus S, Gebre T, Gebremedhin KB, Gebremeskel GG, Gebremeskel L, Gebreslassie AA, Gesesew HA, Ghadiri K, Ghafourifard M, Ghamari F, Ghashghaee A, Gilani SA, Gnedovskaya EV, Godinho MA, Golechha M, Goli S, Gona PN, Gopalani SV, Gorini G, Grivna M, Gubari MIM, Gugnani HC, Guimarães RA, Guo Y, Gupta R, Haagsma JA, Hafezi-Nejad N, Haile TG, Haj-Mirzaian A, Haj-Mirzaian A, Hall BJ, Hamadeh RR, Hamagharib Abdullah K, Hamidi S, Handiso DW, Hanif A, Hankey GJ, Haririan H, Haro JM, Hasaballah AI, Hashi A, Hassan A, Hassanipour S, Hassankhani H, Hayat K, Heidari-Soureshjani R, Herteliu C, Heydarpour F, Ho HC, Hole MK, Holla R, Hoogar P, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsairi M, Huda TM, Humayun A, Hussain R, Hwang BF, Iavicoli I, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Inbaraj LR, Intarut N, Iqbal U, Irvani SSN, Islam MM, Islam SMS, Iso H, Ivers RQ, Jahani MA, Jakovljevic M, Jalali A, Janodia MD, Javaheri T, Jeemon P, Jenabi E, Jha RP, Jha V, Ji JS, Jonas JB, Jones KM, Joukar F, Jozwiak JJ, Juliusson PB, Jürisson M, Kabir A, Kabir Z, Kalankesh LR, Kalhor R, Kamyari N, Kanchan T, Karch A, Karimi SE, Kaur S, Kayode GA, Keiyoro PN, Khalid N, Khammarnia M, Khan M, Khan MN, Khatab K, Khater MM, Khatib MN, Khayamzadeh M, Khazaie H, Khoja AT, Kieling C, Kim YE, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Kivimäki M, Koolivand A, Kosen S, Koyanagi A, Krishan K, Kugbey N, Kumar GA, Kumar M, Kumar N, Kurmi OP, Kusuma D, La Vecchia C, Lacey B, Lal DK, Lalloo R, Lan Q, Landires I, Lansingh VC, Larsson AO, Lasrado S, Lassi ZS, Lauriola P, Lee PH, Lee SWH, Leigh J, Leonardi M, Leung J, Levi M, Lewycka S, Li B, Li MC, Li S, Lim LL, Lim SS, Liu X, Lorkowski S, Lotufo PA, Lunevicius R, Maddison R, Mahasha PW, Mahdavi MM, Mahmoudi M, Majeed A, Maleki A, Malekzadeh R, Malta DC, Mamun AA, Mansouri B, Mansournia MA, Martinez G, Martinez-Raga J, Martins-Melo FR, Mason-Jones AJ, Masoumi SZ, Mathur MR, Maulik PK, McGrath JJ, Mehndiratta MM, Mehri F, Memiah PTN, Mendoza W, Menezes RG, Mengesha EW, Meretoja A, Meretoja TJ, Mestrovic T, Miazgowski B, Miazgowski T, Michalek IM, Miller TR, Mini GK, Mirica A, Mirrakhimov EM, Mirzaei H, Mirzaei M, Moazen B, Mohammad DK, Mohammadi S, Mohammadian-Hafshejani A, Mohammadifard N, Mohammadpourhodki R, Mohammed S, Monasta L, Moradi G, Moradi-Lakeh M, Moradzadeh R, Moraga P, Morrison SD, Mosapour A, Mousavi Khaneghah A, Mueller UO, Muriithi MK, Murray CJL, Muthupandian S, Naderi M, Nagarajan AJ, Naghavi M, Naimzada MD, Nangia V, Nayak VC, Nazari J, Ndejjo R, Negoi I, Negoi RI, Netsere HB, Nguefack-Tsague G, Nguyen DN, Nguyen HLT, Nie J, Ningrum DNA, Nnaji CA, Nomura S, Noubiap JJ, Nowak C, Nuñez-Samudio V, Ogbo FA, Oghenetega OB, Oh IH, Oladnabi M, Olagunju AT, Olusanya BO, Olusanya JO, Omar Bali A, Omer MO, Onwujekwe OE, Ortiz A, Otoiu A, Otstavnov N, Otstavnov SS, Øverland S, Owolabi MO, P A M, Padubidri JR, Pakshir K, Palladino R, Pana A, Panda-Jonas S, Pandey A, Panelo CIA, Park EK, Patten SB, Peden AE, Pepito VCF, Peprah EK, Pereira J, Pesudovs K, Pham HQ, Phillips MR, Piradov MA, Pirsaheb M, Postma MJ, Pottoo FH, Pourjafar H, Pourshams A, Prada SI, Pupillo E, Quazi Syed Z, Rabiee MH, Rabiee N, Radfar A, Rafiee A, Raggi A, Rahim F, Rahimi-Movaghar V, Rahman MHU, Rahman MA, Ramezanzadeh K, Ranabhat CL, Rao SJ, Rashedi V, Rastogi P, Rathi P, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Renzaho AMN, Rezaei N, Rezaei N, Rezai MS, Riahi SM, Rickard J, Roever L, Ronfani L, Roth GA, Rubagotti E, Rumisha SF, Rwegerera GM, Sabour S, Sachdev PS, Saddik B, Sadeghi E, Saeedi Moghaddam S, Sagar R, Sahebkar A, Sahraian MA, Sajadi SM, Salem MR, Salimzadeh H, Samy AM, Sanabria J, Santric-Milicevic MM, Saraswathy SYI, Sarrafzadegan N, Sarveazad A, Sathish T, Sattin D, Saxena D, Saxena S, Schiavolin S, Schwebel DC, Schwendicke F, Senthilkumaran S, Sepanlou SG, Sha F, Shafaat O, Shahabi S, Shaheen AA, Shaikh MA, Shakiba S, Shamsi M, Shannawaz M, Sharafi K, Sheikh A, Sheikhbahaei S, Shetty BSK, Shi P, Shigematsu M, Shin JI, Shiri R, Shuval K, Siabani S, Sigfusdottir ID, Sigurvinsdottir R, Silva DAS, Silva JP, Simonetti B, Singh JA, Singh V, Sinke AH, Skryabin VY, Slater H, Smith EUR, Sobhiyeh MR, Sobngwi E, Soheili A, Somefun OD, Sorrie MB, Soyiri IN, Sreeramareddy CT, Stein DJ, Stokes MA, Sudaryanto A, Sultan I, Tabarés-Seisdedos R, Tabuchi T, Tadakamadla SK, Taherkhani A, Tamiru AT, Tareque MI, Thankappan KR, Thapar R, Thomas N, Titova MV, Tonelli M, Tovani-Palone MR, Tran BX, Travillian RS, Tsai AC, Tsatsakis A, Tudor Car L, Uddin R, Unim B, Unnikrishnan B, Upadhyay E, Vacante M, Valadan Tahbaz S, Valdez PR, Varughese S, Vasankari TJ, Venketasubramanian N, Villeneuve PJ, Violante FS, Vlassov V, Vos T, Vu GT, Waheed Y, Wamai RG, Wang Y, Wang Y, Wang YP, Westerman R, Wickramasinghe ND, Wu AM, Wu C, Yahyazadeh Jabbari SH, Yamagishi K, Yano Y, Yaya S, Yazdi-Feyzabadi V, Yeshitila YG, Yip P, Yonemoto N, Yoon SJ, Younis MZ, Yousefinezhadi T, Yu C, Yu Y, Yuce D, Zaidi SS, Zaman SB, Zamani M, Zamanian M, Zarafshan H, Zarei A, Zastrozhin MS, Zhang Y, Zhang ZJ, Zhao XJG, Zhu C, Patton GC, Viner RM. Global, regional, and national mortality among young people aged 10-24 years, 1950-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2021; 398:1593-1618. [PMID: 34755628 PMCID: PMC8576274 DOI: 10.1016/s0140-6736(21)01546-4] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Revised: 05/07/2021] [Accepted: 06/30/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Documentation of patterns and long-term trends in mortality in young people, which reflect huge changes in demographic and social determinants of adolescent health, enables identification of global investment priorities for this age group. We aimed to analyse data on the number of deaths, years of life lost, and mortality rates by sex and age group in people aged 10-24 years in 204 countries and territories from 1950 to 2019 by use of estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. METHODS We report trends in estimated total numbers of deaths and mortality rate per 100 000 population in young people aged 10-24 years by age group (10-14 years, 15-19 years, and 20-24 years) and sex in 204 countries and territories between 1950 and 2019 for all causes, and between 1980 and 2019 by cause of death. We analyse variation in outcomes by region, age group, and sex, and compare annual rate of change in mortality in young people aged 10-24 years with that in children aged 0-9 years from 1990 to 2019. We then analyse the association between mortality in people aged 10-24 years and socioeconomic development using the GBD Socio-demographic Index (SDI), a composite measure based on average national educational attainment in people older than 15 years, total fertility rate in people younger than 25 years, and income per capita. We assess the association between SDI and all-cause mortality in 2019, and analyse the ratio of observed to expected mortality by SDI using the most recent available data release (2017). FINDINGS In 2019 there were 1·49 million deaths (95% uncertainty interval 1·39-1·59) worldwide in people aged 10-24 years, of which 61% occurred in males. 32·7% of all adolescent deaths were due to transport injuries, unintentional injuries, or interpersonal violence and conflict; 32·1% were due to communicable, nutritional, or maternal causes; 27·0% were due to non-communicable diseases; and 8·2% were due to self-harm. Since 1950, deaths in this age group decreased by 30·0% in females and 15·3% in males, and sex-based differences in mortality rate have widened in most regions of the world. Geographical variation has also increased, particularly in people aged 10-14 years. Since 1980, communicable and maternal causes of death have decreased sharply as a proportion of total deaths in most GBD super-regions, but remain some of the most common causes in sub-Saharan Africa and south Asia, where more than half of all adolescent deaths occur. Annual percentage decrease in all-cause mortality rate since 1990 in adolescents aged 15-19 years was 1·3% in males and 1·6% in females, almost half that of males aged 1-4 years (2·4%), and around a third less than in females aged 1-4 years (2·5%). The proportion of global deaths in people aged 0-24 years that occurred in people aged 10-24 years more than doubled between 1950 and 2019, from 9·5% to 21·6%. INTERPRETATION Variation in adolescent mortality between countries and by sex is widening, driven by poor progress in reducing deaths in males and older adolescents. Improving global adolescent mortality will require action to address the specific vulnerabilities of this age group, which are being overlooked. Furthermore, indirect effects of the COVID-19 pandemic are likely to jeopardise efforts to improve health outcomes including mortality in young people aged 10-24 years. There is an urgent need to respond to the changing global burden of adolescent mortality, address inequities where they occur, and improve the availability and quality of primary mortality data in this age group. FUNDING Bill & Melinda Gates Foundation.
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Martins SCO, Lavados P, Secchi TL, Brainin M, Ameriso S, Gongora-Rivera F, Sacks C, Cantú-Brito C, Alvarez Guzman TF, Pérez-Romero GE, Muñoz Collazos M, Barboza MA, Arauz A, Abanto Argomedo C, Novarro-Escudero N, Amorin Costabile HI, Crosa R, Camejo C, Mernes R, Maldonado N, Mora Cuervo DL, Pontes Neto OM, Silva GS, Carbonera LA, de Souza AC, de Sousa EDG, Flores A, Melgarejo D, Santos Carquin IR, Hoppe A, de Carvalho JJF, Mont'Alverne F, Amaya P, Bayona H, Navia González VH, Duran JC, Urrutia VC, Araujo DV, Feigin VL, Nogueira RG. Fighting Against Stroke in Latin America: A Joint Effort of Medical Professional Societies and Governments. Front Neurol 2021; 12:743732. [PMID: 34659101 PMCID: PMC8517273 DOI: 10.3389/fneur.2021.743732] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 08/30/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: Stroke is one of the leading causes of death in Latin America, a region with countless gaps to be addressed to decrease its burden. In 2018, at the first Latin American Stroke Ministerial Meeting, stroke physician and healthcare manager representatives from 13 countries signed the Declaration of Gramado with the priorities to improve the region, with the commitment to implement all evidence-based strategies for stroke care. The second meeting in March 2020 reviewed the achievements in 2 years and discussed new objectives. This paper will review the 2-year advances and future plans of the Latin American alliance for stroke. Method: In March 2020, a survey based on the Declaration of Gramado items was sent to the neurologists participants of the Stroke Ministerial Meetings. The results were confirmed with representatives of the Ministries of Health and leaders from the countries at the second Latin American Stroke Ministerial Meeting. Results: In 2 years, public stroke awareness initiatives increased from 25 to 75% of countries. All countries have started programs to encourage physical activity, and there has been an increase in the number of countries that implement, at least partially, strategies to identify and treat hypertension, diabetes, and lifestyle risk factors. Programs to identify and treat dyslipidemia and atrial fibrillation still remained poor. The number of stroke centers increased from 322 to 448, all of them providing intravenous thrombolysis, with an increase in countries with stroke units. All countries have mechanical thrombectomy, but mostly restricted to a few private hospitals. Pre-hospital organization remains limited. The utilization of telemedicine has increased but is restricted to a few hospitals and is not widely available throughout the country. Patients have late, if any, access to rehabilitation after hospital discharge. Conclusion: The initiative to collaborate, exchange experiences, and unite societies and governments to improve stroke care in Latin America has yielded good results. Important advances have been made in the region in terms of increasing the number of acute stroke care services, implementing reperfusion treatments and creating programs for the detection and treatment of risk factors. We hope that this approach can reduce inequalities in stroke care in Latin America and serves as a model for other under-resourced environments.
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Affiliation(s)
- Sheila Cristina Ouriques Martins
- Hospital Moinhos de Vento, Porto Alegre, Brazil.,Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Brazilian Stroke Network, Porto Alegre, Brazil.,World Stroke Organization, Geneva, Switzerland
| | - Pablo Lavados
- Clinica Alemana, Universidad del Desarollo, Santiago, Chile
| | - Thaís Leite Secchi
- Hospital Moinhos de Vento, Porto Alegre, Brazil.,Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Brazilian Stroke Network, Porto Alegre, Brazil
| | - Michael Brainin
- World Stroke Organization, Geneva, Switzerland.,Department of Clinical Neurosciences and Preventive Medicine, Danube University Krems, Krems an der Donau, Austria
| | - Sebastian Ameriso
- Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia, Buenos Aires, Argentina
| | - Fernando Gongora-Rivera
- Servicio de Neurología - Unidad Neurovascular, Hospital Universitario José Eleuterio González, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico.,Instituto de Neurología y Neurocirugía, Centro Médico Zambrano Hellion, Tec Salud, San Pedro Garza García, Mexico.,Centro de Investigación y Desarrollo en Ciencias de la Salud, Universidad Aiutónoma de Nuevo León, Monterrey, Mexico
| | - Claudio Sacks
- Department of Neurology, Universidad del Valparaiso, Valparaiso, Chile
| | - Carlos Cantú-Brito
- Department of Neurology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, Mexico City, Mexico
| | - Tony Fabian Alvarez Guzman
- Hospital Regional Manuela Beltran, Socorro, Colombia.,Asociación Colombiana de Neurología, Bogotá, Colombia
| | - Germán Enrique Pérez-Romero
- Asociación Colombiana de Neurología, Bogotá, Colombia.,Facultad de Medicina, Universidad Nacional de Colombia, Bogotá, Colombia.,Fundación Hospital San Carlos, Bogotá, Colombia
| | | | - Miguel A Barboza
- Hospital Dr. Rafael A. Calderon, Neuroscience Department, San José, Costa Rica
| | - Antonio Arauz
- Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Clínica de Enfermedad Vascular Cerebral, Ciudad de México, Mexico
| | - Carlos Abanto Argomedo
- Departamento de Enfermedades Neurovasculares, Instituto Nacional de Ciencias Neurológicas, Lima, Peru
| | | | | | | | | | - Ricardo Mernes
- Hospital de Clinicas, Faculdad de Medicina, Universidad Nacional de Asuncion, San Lorenzo, Paraguay
| | - Nelson Maldonado
- Hospital Central del Instituto de Previsión Social, Asunción, Paraguay
| | | | - Octávio Marques Pontes Neto
- Brazilian Stroke Network, Porto Alegre, Brazil.,Universidad San Francisco de Quito, Hospital de los Valles, Quito, Ecuador.,Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Ribeirão Preto, Brazil
| | - Gisele Sampaio Silva
- Brazilian Stroke Network, Porto Alegre, Brazil.,Brazilian Stroke Society, São Paulo, Brazil.,Department of Neurology and Neurosurgery, Universidade Federal de São Paulo, São Paulo, Brazil.,Hospital Israelita Albert Einstein, São Paulo, Brazil
| | | | - Ana Claudia de Souza
- Hospital Moinhos de Vento, Porto Alegre, Brazil.,Brazilian Stroke Network, Porto Alegre, Brazil
| | | | - Alan Flores
- Hospital de Clinicas, Faculdad de Medicina, Universidad Nacional de Asuncion, San Lorenzo, Paraguay
| | - Donoban Melgarejo
- Hospital de Clinicas, Faculdad de Medicina, Universidad Nacional de Asuncion, San Lorenzo, Paraguay.,Hospital Central del Instituto de Previsión Social, Asunción, Paraguay
| | - Irving R Santos Carquin
- Emergency Hospital Public Assistance, Santiago, Chile.,Faculty of Medicine, University of Chile, Santiago, Chile.,Ministry of Health, Santiago, Chile
| | - Arnold Hoppe
- Clinica Alemana, Universidad del Desarollo, Santiago, Chile.,Facultad de Medicina, Universidad del Desarrollo, Santiago, Chile
| | | | - Francisco Mont'Alverne
- Facultad de Medicina, Universidad del Desarrollo, Santiago, Chile.,Sociedade Brazileira de Neurorradiologia Diagnóstica e Terapêutica, São Paulo, Brazil
| | - Pablo Amaya
- Servicio de Neurología - Unidad Neurovascular, Hospital Universitario José Eleuterio González, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico.,Asociación Colombiana de Neurología, Bogotá, Colombia.,Fundación Valle del Lili, Cali, Colombia
| | - Hernan Bayona
- Asociación Colombiana de Neurología, Bogotá, Colombia.,Fundación Santa Fé de Bogotá, Bogotá, Colombia
| | | | | | - Victor C Urrutia
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Denizar Vianna Araujo
- Ministry of Health, Brasília, Brazil.,Faculdade de Ciências Médicas da Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Raul G Nogueira
- Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Emory University, Atlanta, GA, United States
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Affiliation(s)
- David O Wiebers
- Emeritus Professor of Neurology and Consultant Emeritus in Neurology and Epidemiology, Mayo Clinic and Mayo Foundation, Rochester, Minnesota, USA
| | - Valery L Feigin
- Professor of Neurology and Epidemiology, Director of the National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
| | - Andrea S Winkler
- Specialist Neurologist and Co(joint)-Director of the Centre for Global Health, Department of Neurology, Technical University of Munich, Munich, Germany.,Professor of Global Health and Founding now Deputy Director of the Centre for Global Health, Institute of Health and Society, University of Oslo, Oslo, Norway
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Feigin VL, Stark BA, Johnson CO, Roth GA, Bisignano C, Abady GG, Abbasifard M, Abbasi-Kangevari M, Abd-Allah F, Abedi V, Abualhasan A, Abu-Rmeileh NME, Abushouk AI, Adebayo OM, Agarwal G, Agasthi P, Ahinkorah BO, Ahmad S, Ahmadi S, Ahmed Salih Y, Aji B, Akbarpour S, Akinyemi RO, Al Hamad H, Alahdab F, Alif SM, Alipour V, Aljunid SM, Almustanyir S, Al-Raddadi RM, Al-Shahi Salman R, Alvis-Guzman N, Ancuceanu R, Anderlini D, Anderson JA, Ansar A, Antonazzo IC, Arabloo J, Ärnlöv J, Artanti KD, Aryan Z, Asgari S, Ashraf T, Athar M, Atreya A, Ausloos M, Baig AA, Baltatu OC, Banach M, Barboza MA, Barker-Collo SL, Bärnighausen TW, Barone MTU, Basu S, Bazmandegan G, Beghi E, Beheshti M, Béjot Y, Bell AW, Bennett DA, Bensenor IM, Bezabhe WM, Bezabih YM, Bhagavathula AS, Bhardwaj P, Bhattacharyya K, Bijani A, Bikbov B, Birhanu MM, Boloor A, Bonny A, Brauer M, Brenner H, Bryazka D, Butt ZA, Caetano dos Santos FL, Campos-Nonato IR, Cantu-Brito C, Carrero JJ, Castañeda-Orjuela CA, Catapano AL, Chakraborty PA, Charan J, Choudhari SG, Chowdhury EK, Chu DT, Chung SC, Colozza D, Costa VM, Costanzo S, Criqui MH, Dadras O, Dagnew B, Dai X, Dalal K, Damasceno AAM, D'Amico E, Dandona L, Dandona R, Darega Gela J, Davletov K, De la Cruz-Góngora V, Desai R, Dhamnetiya D, Dharmaratne SD, Dhimal ML, Dhimal M, Diaz D, Dichgans M, Dokova K, Doshi R, Douiri A, Duncan BB, Eftekharzadeh S, Ekholuenetale M, El Nahas N, Elgendy IY, Elhadi M, El-Jaafary SI, Endres M, Endries AY, Erku DA, Faraon EJA, Farooque U, Farzadfar F, Feroze AH, Filip I, Fischer F, Flood D, Gad MM, Gaidhane S, Ghanei Gheshlagh R, Ghashghaee A, Ghith N, Ghozali G, Ghozy S, Gialluisi A, Giampaoli S, Gilani SA, Gill PS, Gnedovskaya EV, Golechha M, Goulart AC, Guo Y, Gupta R, Gupta VB, Gupta VK, Gyanwali P, Hafezi-Nejad N, Hamidi S, Hanif A, Hankey GJ, Hargono A, Hashi A, Hassan TS, Hassen HY, Havmoeller RJ, Hay SI, Hayat K, Hegazy MI, Herteliu C, Holla R, Hostiuc S, Househ M, Huang J, Humayun A, Hwang BF, Iacoviello L, Iavicoli I, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Iqbal U, Irvani SSN, Islam SMS, Ismail NE, Iso H, Isola G, Iwagami M, Jacob L, Jain V, Jang SI, Jayapal SK, Jayaram S, Jayawardena R, Jeemon P, Jha RP, Johnson WD, Jonas JB, Joseph N, Jozwiak JJ, Jürisson M, Kalani R, Kalhor R, Kalkonde Y, Kamath A, Kamiab Z, Kanchan T, Kandel H, Karch A, Katoto PDMC, Kayode GA, Keshavarz P, Khader YS, Khan EA, Khan IA, Khan M, Khan MAB, Khatib MN, Khubchandani J, Kim GR, Kim MS, Kim YJ, Kisa A, Kisa S, Kivimäki M, Kolte D, Koolivand A, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Krishnamoorthy V, Krishnamurthi RV, Kumar GA, Kusuma D, La Vecchia C, Lacey B, Lak HM, Lallukka T, Lasrado S, Lavados PM, Leonardi M, Li B, Li S, Lin H, Lin RT, Liu X, Lo WD, Lorkowski S, Lucchetti G, Lutzky Saute R, Magdy Abd El Razek H, Magnani FG, Mahajan PB, Majeed A, Makki A, Malekzadeh R, Malik AA, Manafi N, Mansournia MA, Mantovani LG, Martini S, Mazzaglia G, Mehndiratta MM, Menezes RG, Meretoja A, Mersha AG, Miao Jonasson J, Miazgowski B, Miazgowski T, Michalek IM, Mirrakhimov EM, Mohammad Y, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Mokhayeri Y, Molokhia M, Moni MA, Montasir AA, Moradzadeh R, Morawska L, Morze J, Muruet W, Musa KI, Nagarajan AJ, Naghavi M, Narasimha Swamy S, Nascimento BR, Negoi RI, Neupane Kandel S, Nguyen TH, Norrving B, Noubiap JJ, Nwatah VE, Oancea B, Odukoya OO, Olagunju AT, Orru H, Owolabi MO, Padubidri JR, Pana A, Parekh T, Park EC, Pashazadeh Kan F, Pathak M, Peres MFP, Perianayagam A, Pham TM, Piradov MA, Podder V, Polinder S, Postma MJ, Pourshams A, Radfar A, Rafiei A, Raggi A, Rahim F, Rahimi-Movaghar V, Rahman M, Rahman MA, Rahmani AM, Rajai N, Ranasinghe P, Rao CR, Rao SJ, Rathi P, Rawaf DL, Rawaf S, Reitsma MB, Renjith V, Renzaho AMN, Rezapour A, Rodriguez JAB, Roever L, Romoli M, Rynkiewicz A, Sacco S, Sadeghi M, Saeedi Moghaddam S, Sahebkar A, Saif-Ur-Rahman KM, Salah R, Samaei M, Samy AM, Santos IS, Santric-Milicevic MM, Sarrafzadegan N, Sathian B, Sattin D, Schiavolin S, Schlaich MP, Schmidt MI, Schutte AE, Sepanlou SG, Seylani A, Sha F, Shahabi S, Shaikh MA, Shannawaz M, Shawon MSR, Sheikh A, Sheikhbahaei S, Shibuya K, Siabani S, Silva DAS, Singh JA, Singh JK, Skryabin VY, Skryabina AA, Sobaih BH, Stortecky S, Stranges S, Tadesse EG, Tarigan IU, Temsah MH, Teuschl Y, Thrift AG, Tonelli M, Tovani-Palone MR, Tran BX, Tripathi M, Tsegaye GW, Ullah A, Unim B, Unnikrishnan B, Vakilian A, Valadan Tahbaz S, Vasankari TJ, Venketasubramanian N, Vervoort D, Vo B, Volovici V, Vosoughi K, Vu GT, Vu LG, Wafa HA, Waheed Y, Wang Y, Wijeratne T, Winkler AS, Wolfe CDA, Woodward M, Wu JH, Wulf Hanson S, Xu X, Yadav L, Yadollahpour A, Yahyazadeh Jabbari SH, Yamagishi K, Yatsuya H, Yonemoto N, Yu C, Yunusa I, Zaman MS, Zaman SB, Zamanian M, Zand R, Zandifar A, Zastrozhin MS, Zastrozhina A, Zhang Y, Zhang ZJ, Zhong C, Zuniga YMH, Murray CJL. Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol 2021; 20:795-820. [PMID: 34487721 PMCID: PMC8443449 DOI: 10.1016/s1474-4422(21)00252-0] [Citation(s) in RCA: 1651] [Impact Index Per Article: 550.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 07/01/2021] [Accepted: 07/19/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. METHODS We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. FINDINGS In 2019, there were 12·2 million (95% UI 11·0-13·6) incident cases of stroke, 101 million (93·2-111) prevalent cases of stroke, 143 million (133-153) DALYs due to stroke, and 6·55 million (6·00-7·02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11·6% [10·8-12·2] of total deaths) and the third-leading cause of death and disability combined (5·7% [5·1-6·2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70·0% (67·0-73·0), prevalent strokes increased by 85·0% (83·0-88·0), deaths from stroke increased by 43·0% (31·0-55·0), and DALYs due to stroke increased by 32·0% (22·0-42·0). During the same period, age-standardised rates of stroke incidence decreased by 17·0% (15·0-18·0), mortality decreased by 36·0% (31·0-42·0), prevalence decreased by 6·0% (5·0-7·0), and DALYs decreased by 36·0% (31·0-42·0). However, among people younger than 70 years, prevalence rates increased by 22·0% (21·0-24·0) and incidence rates increased by 15·0% (12·0-18·0). In 2019, the age-standardised stroke-related mortality rate was 3·6 (3·5-3·8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3·7 (3·5-3·9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62·4% of all incident strokes in 2019 (7·63 million [6·57-8·96]), while intracerebral haemorrhage constituted 27·9% (3·41 million [2·97-3·91]) and subarachnoid haemorrhage constituted 9·7% (1·18 million [1·01-1·39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79·6 million [67·7-90·8] DALYs or 55·5% [48·2-62·0] of total stroke DALYs), high body-mass index (34·9 million [22·3-48·6] DALYs or 24·3% [15·7-33·2]), high fasting plasma glucose (28·9 million [19·8-41·5] DALYs or 20·2% [13·8-29·1]), ambient particulate matter pollution (28·7 million [23·4-33·4] DALYs or 20·1% [16·6-23·0]), and smoking (25·3 million [22·6-28·2] DALYs or 17·6% [16·4-19·0]). INTERPRETATION The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries. FUNDING Bill & Melinda Gates Foundation.
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Owolabi MO, Thrift AG, Martins S, Johnson W, Pandian J, Abd-Allah F, Varghese C, Mahal A, Yaria J, Phan HT, Roth G, Gall SL, Beare R, Phan TG, Mikulik R, Norrving B, Feigin VL. The state of stroke services across the globe: Report of World Stroke Organization-World Health Organization surveys. Int J Stroke 2021; 16:889-901. [PMID: 33988062 PMCID: PMC8800855 DOI: 10.1177/17474930211019568] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND Improving stroke services is critical for reducing the global stroke burden. The World Stroke Organization-World Health Organization-Lancet Neurology Commission on Stroke conducted a survey of the status of stroke services in low and middle-income countries (LMICs) compared to high-income countries. METHODS Using a validated World Stroke Organization comprehensive questionnaire, we collected and compared data on stroke services along four pillars of the stroke quadrangle (surveillance, prevention, acute stroke, and rehabilitation) in 84 countries across World Health Organization regions and economic strata. The World Health Organization also conducted a survey of non-communicable diseases in 194 countries in 2019. RESULTS Fewer surveillance activities (including presence of registries, presence of recent risk factors surveys, and participation in research) were reported in low-income countries than high-income countries. The overall global score for prevention was 40.2%. Stroke units were present in 91% of high-income countries in contrast to 18% of low-income countries (p < 0.001). Acute stroke treatments were offered in ∼ 60% of high-income countries compared to 26% of low-income countries (p = 0.009). Compared to high-income countries, LMICs provided less rehabilitation services including in-patient rehabilitation, home assessment, community rehabilitation, education, early hospital discharge program, and presence of rehabilitation protocol. CONCLUSIONS There is an urgent need to improve access to stroke units and services globally especially in LMICs. Countries with less stroke services can adapt strategies from those with better services. This could include establishment of a framework for regular monitoring of stroke burden and services, implementation of integrated prevention activities and essential acute stroke care services, and provision of interdisciplinary care for stroke rehabilitation.
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Affiliation(s)
- Mayowa O Owolabi
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Nigeria
| | - Amanda G Thrift
- Epidemiology and Prevention Division, Stroke and Ageing Research (STAR), School of Clinical Sciences, Monash University, Melbourne, Australia
| | - Sheila Martins
- Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Hospital Moinhos de Vento & Brazilian Stroke Network
| | | | | | - Foad Abd-Allah
- Department of Neurology, Kasr Alainy School of Medicine, Cairo University, Cairo, Egypt
| | - Cherian Varghese
- Non-communicable Disease Department, World Health Organization, Geneva, Switzerland
| | - Ajay Mahal
- Nossal Institute of Global Health, University of Melbourne, Australia
| | - Joseph Yaria
- Department of Neurology, University College Hospital, Ibadan, Nigeria
| | - Hoang T Phan
- Menzies Institute for Medical Research, University of Tasmania, Australia
| | - Gregory Roth
- NUI Galway Health Research Board, Clinical Research Coordination, Galway, Ireland
| | - Seana L Gall
- Menzies Institute for Medical Research, University of Tasmania, Australia
| | - Richard Beare
- Peninsula Clinical School, Monash University, and Developmental Imaging Group, Murdoch Children's Research Institute, Melbourne, Australia
| | - Thanh G Phan
- Department of Neurology, Monash Health and School of Clinical Sciences, Monash University, Melbourne, Australia
| | - Robert Mikulik
- International Clinical Research Center and Neurology Department of St. Anne's, University Hospital and Masaryk University, Brno, Czech Republic
| | - Bo Norrving
- Department of Clinical Sciences, Lund University, Sweden
| | - Valery L Feigin
- National Institute for Stroke and Applied Neurosciences (NISAN), School of Clinical Sciences, Auckland University of Technology, New Zealand
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