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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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K, Deng X, Denova-Gutiérrez E, Deravi N, Dereje N, Dervenis N, Dervišević E, Des Jarlais DC, Desai HD, Desai R, Devanbu VGC, Dewan SMR, Dhali A, Dhama K, Dhimal M, Dhingra S, Dhulipala VR, Dias da Silva D, Diaz D, Diaz MJ, Dima A, Ding DD, Ding H, Dinis-Oliveira RJ, Dirac MA, Djalalinia S, Do THP, do Prado CB, Doaei S, Dodangeh M, Dodangeh M, Dohare S, Dokova KG, Dolecek C, Dominguez RMV, Dong W, Dongarwar D, D'Oria M, Dorostkar F, Dorsey ER, dos Santos WM, Doshi R, Doshmangir L, Dowou RK, Driscoll TR, Dsouza HL, Dsouza V, Du M, Dube J, Duncan BB, Duraes AR, Duraisamy S, Durojaiye OC, Dwyer-Lindgren L, Dzianach PA, Dziedzic AM, E'mar AR, Eboreime E, Ebrahimi A, Echieh CP, Edinur HA, Edvardsson D, Edvardsson K, Efendi D, Efendi F, Effendi DE, Eikemo TA, Eini E, Ekholuenetale M, Ekundayo TC, El Sayed I, Elbarazi I, Elema TB, Elemam NM, Elgar FJ, Elgendy IY, ElGohary GMT, Elhabashy HR, Elhadi M, El-Huneidi W, Elilo LT, Elmeligy OAA, Elmonem MA, Elshaer M, Elsohaby I, Emeto TI, Engelbert 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Ghahramani S, Ghailan KY, Ghasemi MR, Ghasempour Dabaghi G, Ghasemzadeh A, Ghashghaee A, Ghassemi F, Ghazy RM, Ghimire A, Ghoba S, Gholamalizadeh M, Gholamian A, Gholamrezanezhad A, Gholizadeh N, Ghorbani M, Ghorbani Vajargah P, Ghoshal AG, Gill PS, Gill TK, Gillum RF, Ginindza TG, Girmay A, Glasbey JC, Gnedovskaya EV, Göbölös L, Godinho MA, Goel A, Golchin A, Goldust M, Golechha M, Goleij P, Gomes NGM, Gona PN, Gopalani SV, Gorini G, Goudarzi H, Goulart AC, Goulart BNG, Goyal A, Grada A, Graham SM, Grivna M, Grosso G, Guan SY, Guarducci G, Gubari MIM, Gudeta MD, Guha A, Guicciardi S, Guimarães RA, Gulati S, Gunawardane DA, Gunturu S, Guo C, Gupta AK, Gupta B, Gupta MK, Gupta M, Gupta RD, Gupta R, Gupta S, Gupta VB, Gupta VK, Gupta VK, Gurmessa L, Gutiérrez RA, Habibzadeh F, Habibzadeh P, Haddadi R, Hadei M, Hadi NR, Haep N, Hafezi-Nejad N, Hailu A, Haj-Mirzaian A, Halboub ES, Hall BJ, Haller S, Halwani R, Hamadeh RR, Hameed S, Hamidi S, Hamilton EB, Han C, Han Q, Hanif A, Hanifi N, 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A, Lai DTC, Lal DK, Lalloo R, Lallukka T, Lam H, Lám J, Landrum KR, Lanfranchi F, Lang JJ, Langguth B, Lansingh VC, Laplante-Lévesque A, Larijani B, Larsson AO, Lasrado S, Lassi ZS, Latief K, Latifinaibin K, Lauriola P, Le NHH, Le TTT, Le TDT, Ledda C, Ledesma JR, Lee M, Lee PH, Lee SW, Lee SWH, Lee WC, Lee YH, LeGrand KE, Leigh J, Leong E, Lerango TL, Li MC, Li W, Li X, Li Y, Li Z, Ligade VS, Likaka ATM, Lim LL, Lim SS, Lindstrom M, Linehan C, Liu C, Liu G, Liu J, Liu R, Liu S, Liu X, Liu X, Llanaj E, Loftus MJ, López-Bueno R, Lopukhov PD, Loreche AM, Lorkowski S, Lotufo PA, Lozano R, Lubinda J, Lucchetti G, Lugo A, Lunevicius R, Ma ZF, Maass KL, Machairas N, Machoy M, Madadizadeh F, Madsen C, Madureira-Carvalho ÁM, Maghazachi AA, Maharaj SB, Mahjoub S, Mahmoud MA, Mahmoudi A, Mahmoudi E, Mahmoudi R, Majeed A, Makhdoom IF, Malakan Rad E, Maled V, Malekzadeh R, Malhotra AK, Malhotra K, Malik AA, Malik I, Malta DC, Mamun AA, Mansouri P, Mansournia MA, Mantovani LG, Maqsood S, Marasini 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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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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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Feasey NA, Fekadu G, Fetensa G, Feyissa D, Fischer F, Foroutan B, Gaal PA, Gadanya MA, Gaipov A, Ganesan B, Gebrehiwot M, Gebrekidan KG, Gebremeskel TG, Gedef GM, Gela YY, Gerema U, Gessner BD, Getachew ME, Ghadiri K, Ghaffari K, Ghamari SH, Ghanbari R, Ghazy RMM, Ghozali G, Gizaw ABAB, Glushkova EV, Goldust M, Golechha M, Guadie HA, Guled RA, Gupta M, Gupta S, Gupta VB, Gupta VK, Gupta VK, Hadi NR, Haj-Mirzaian A, Haller S, Hamidi S, Haque S, Harapan H, Hasaballah AI, Hasan I, Hasani H, Hasanian M, Hassankhani H, Hassen MB, Hayat K, Heidari M, Heidari-Foroozan M, Heidari-Soureshjani R, Hezam K, Holla R, Horita N, Hossain MM, Hosseini MS, Hosseinzadeh M, Hostiuc S, Hussain S, Hussein NR, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Imam MT, Iregbu KC, Ismail NE, Iwu CCD, Jaja C, Jakovljevic M, Jamshidi E, Javadi Mamaghani A, Javidnia J, Jokar M, Jomehzadeh N, Joseph N, Joshua CE, Jozwiak JJ, Kabir Z, Kalankesh LR, Kalhor R, Kamal VK, Kandel H, Karaye IM, Karch A, Karimi H, Kaur H, Kaur N, Keykhaei M, Khajuria H, Khalaji A, Khan A, Khan IA, Khan M, Khan T, Khatab K, Khatatbeh MM, Khayat Kashani HR, Khubchandani J, Kim MS, Kisa A, Kisa S, Kompani F, Koohestani HR, Kothari N, Krishan K, Krishnamoorthy Y, Kulimbet M, Kumar M, Kumaran SD, Kuttikkattu A, Kwarteng A, Laksono T, Landires I, Laryea DO, Lawal BK, Le TTT, Ledda C, Lee SW, Lee S, Lema GK, Levi M, Lim SS, Liu X, Lopes G, Lutzky Saute R, Machado Teixeira PH, Mahmoodpoor A, Mahmoud MA, Malakan Rad E, Malhotra K, Malik AA, Martinez-Guerra BA, Martorell M, Mathur V, Mayeli M, Medina JRC, Melese A, Memish ZA, Mentis AFA, Merza MA, Mestrovic T, Michalek IM, Minh LHN, Mirahmadi A, Mirmosayyeb O, Misganaw A, Misra AK, Moghadasi J, Mohamed NS, Mohammad Y, Mohammadi E, Mohammed S, Mojarrad Sani M, Mojiri-forushani H, Mokdad AH, Momtazmanesh S, Monasta L, Moni MA, Mossialos E, Mostafavi E, Motaghinejad M, Mousavi Khaneghah A, Mubarik S, Muccioli L, Muhammad JS, Mulita F, Mulugeta T, Murillo-Zamora E, Mustafa G, Muthupandian S, Nagarajan AJ, Nainu F, Nair TS, Nargus S, Nassereldine H, Natto ZS, Nayak BP, Negoi I, Negoi RI, Nejadghaderi SA, Nguyen HQ, Nguyen PT, Nguyen VT, Niazi RK, Noroozi N, Nouraei H, Nuñez-Samudio V, Nuruzzaman KM, Nwatah VE, Nzoputam CI, Nzoputam OJ, Oancea B, Obaidur RM, Odetokun IA, Ogunsakin RE, Okonji OC, Olagunju AT, Olana LT, Olufadewa II, Oluwafemi YD, Oumer KS, Ouyahia A, P A M, Pakshir K, Palange PN, Pardhan S, Parikh RR, Patel J, Patel UK, Patil S, Paudel U, Pawar S, Pensato U, Perdigão J, Pereira M, Peres MFP, Petcu IR, Pinheiro M, Piracha ZZ, Pokhrel N, Postma MJ, Prates EJS, Qattea I, Raghav PR, Rahbarnia L, Rahimi-Movaghar V, Rahman M, Rahman MA, Rahmanian V, Rahnavard N, Ramadan H, Ramasubramani P, Rani U, Rao IR, Rapaka D, Ratan ZA, Rawaf S, Redwan EMM, Reiner Jr RC, Rezaei N, Riad A, Ribeiro da Silva TM, Roberts T, Robles Aguilar G, Rodriguez JAB, Rosenthal VD, Saddik B, Sadeghian S, Saeed U, Safary A, Saheb Sharif-Askari F, Saheb Sharif-Askari N, Sahebkar A, Sahu M, Sajedi SA, Saki M, Salahi S, Salahi S, Saleh MA, Sallam M, Samadzadeh S, Samy AM, Sanjeev RK, Satpathy M, Seylani A, Sha'aban A, Shafie M, Shah PA, Shahrokhi S, Shahzamani K, Shaikh MA, Sham S, Shannawaz M, Sheikh A, Shenoy SM, Shetty PH, Shin JI, Shokri F, Shorofi SA, Shrestha S, Sibhat MM, Siddig EE, Silva LMLR, Singh H, Singh JA, Singh P, Singh S, Sinto R, Skryabina AA, Socea B, Sokhan A, Solanki R, Solomon Y, Sood P, Soshnikov S, Stergachis A, Sufiyan MB, Suliankatchi Abdulkader R, Sultana A, T Y SS, Taheri E, Taki E, Tamuzi JJLL, Tan KK, Tat NY, Temsah MH, Terefa DR, Thangaraju P, Tibebu NS, Ticoalu JHV, Tillawi T, Tincho MB, Tleyjeh II, Toghroli R, Tovani-Palone MR, Tufa DG, Turner P, Ullah I, Umeokonkwo CD, Unnikrishnan B, Vahabi SM, Vaithinathan AG, Valizadeh R, Varthya SB, Vos T, Waheed Y, Walde MT, Wang C, Weerakoon KG, Wickramasinghe ND, Winkler AS, Woldemariam M, Worku NA, Wright C, Yada DY, Yaghoubi S, Yahya GATY, Yenew CYY, Yesiltepe M, Yi S, Yiğit V, You Y, Yusuf H, Zakham F, Zaman M, Zaman SB, Zare I, Zareshahrabadi Z, Zarrintan A, Zastrozhin MS, Zhang H, Zhang J, Zhang ZJ, Zheng P, Zoladl M, Zumla A, Hay SI, Murray CJL, Naghavi M, Kyu HH. Global, regional, and national burden of meningitis and its aetiologies, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol 2023; 22:685-711. [PMID: 37479374 PMCID: PMC10356620 DOI: 10.1016/s1474-4422(23)00195-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/28/2023] [Accepted: 05/05/2023] [Indexed: 07/23/2023]
Abstract
BACKGROUND Although meningitis is largely preventable, it still causes hundreds of thousands of deaths globally each year. WHO set ambitious goals to reduce meningitis cases by 2030, and assessing trends in the global meningitis burden can help track progress and identify gaps in achieving these goals. Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we aimed to assess incident cases and deaths due to acute infectious meningitis by aetiology and age from 1990 to 2019, for 204 countries and territories. METHODS We modelled meningitis mortality using vital registration, verbal autopsy, sample-based vital registration, and mortality surveillance data. Meningitis morbidity was modelled with a Bayesian compartmental model, using data from the published literature identified by a systematic review, as well as surveillance data, inpatient hospital admissions, health insurance claims, and cause-specific meningitis mortality estimates. For aetiology estimation, data from multiple causes of death, vital registration, hospital discharge, microbial laboratory, and literature studies were analysed by use of a network analysis model to estimate the proportion of meningitis deaths and cases attributable to the following aetiologies: Neisseria meningitidis, Streptococcus pneumoniae, Haemophilus influenzae, group B Streptococcus, Escherichia coli, Klebsiella pneumoniae, Listeria monocytogenes, Staphylococcus aureus, viruses, and a residual other pathogen category. FINDINGS In 2019, there were an estimated 236 000 deaths (95% uncertainty interval [UI] 204 000-277 000) and 2·51 million (2·11-2·99) incident cases due to meningitis globally. The burden was greatest in children younger than 5 years, with 112 000 deaths (87 400-145 000) and 1·28 million incident cases (0·947-1·71) in 2019. Age-standardised mortality rates decreased from 7·5 (6·6-8·4) per 100 000 population in 1990 to 3·3 (2·8-3·9) per 100 000 population in 2019. The highest proportion of total all-age meningitis deaths in 2019 was attributable to S pneumoniae (18·1% [17·1-19·2]), followed by N meningitidis (13·6% [12·7-14·4]) and K pneumoniae (12·2% [10·2-14·3]). Between 1990 and 2019, H influenzae showed the largest reduction in the number of deaths among children younger than 5 years (76·5% [69·5-81·8]), followed by N meningitidis (72·3% [64·4-78·5]) and viruses (58·2% [47·1-67·3]). INTERPRETATION Substantial progress has been made in reducing meningitis mortality over the past three decades. However, more meningitis-related deaths might be prevented by quickly scaling up immunisation and expanding access to health services. Further reduction in the global meningitis burden should be possible through low-cost multivalent vaccines, increased access to accurate and rapid diagnostic assays, enhanced surveillance, and early treatment. FUNDING Bill & Melinda Gates Foundation.
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Tabah A, Buetti N, Staiquly Q, Ruckly S, Akova M, Aslan AT, Leone M, Conway Morris A, Bassetti M, Arvaniti K, Lipman J, Ferrer R, Qiu H, Paiva JA, Povoa P, De Bus L, De Waele J, Zand F, Gurjar M, Alsisi A, Abidi K, Bracht H, Hayashi Y, Jeon K, Elhadi M, Barbier F, Timsit JF, Pollock H, Margetts B, Young M, Bhadange N, Tyler S, Ledtischke A, Finnis M, Ledtischke A, Finnis M, Dwivedi J, Saxena M, Biradar V, Soar N, Sarode V, Brewster D, Regli A, Weeda E, Ahmed S, Fourie C, Laupland K, Ramanan M, Walsham J, Meyer J, Litton E, Palermo AM, Yap T, Eroglu E, Attokaran AG, Jaramillo C, Nafees KMK, Rashid NAHA, Walid HAMI, Mon T, Moorthi PD, Sudhirchandra S, Sridharan DD, Haibo Q, Jianfeng X, Wei-Hua L, Zhen W, Qian C, Luo J, Chen X, Wang H, Zhao P, Zhao J, Wusi Q, Mingmin C, Xu L, Yin C, Wang R, Wang J, Yin Y, Zhang M, Ye J, Hu C, Zhou S, Huang M, Yan J, Wang Y, Qin B, Ye L, Weifeng X, Peije L, Geng N, Hayashi Y, Karumai T, Yamasaki M, Hashimoto S, Hosokawa K, Makino J, Matsuyoshi T, Kuriyama A, Shigemitsu H, Mishima Y, Nagashima M, Yoshida H, Fujitani S, Omori K, Rinka H, Saito H, Atobe K, Kato H, Takaki S, Hasan MS, Jamaluddin MFH, Pheng LS, Visvalingam S, Liew MT, Wong SLD, Fong KK, Rahman HBA, Noor ZM, Tong LK, Azman AH, Mazlan MZ, Ali S, Jeon K, Lee SM, Park S, Park SY, Lim SY, Goh QY, Ng SY, Lie SA, Kwa ALH, Goh KJ, Li AY, Ong CYM, Lim JY, Quah JL, Ng K, Ng LXL, Yeh YC, Chou NK, Cia CT, Hu TY, Kuo LK, Ku SC, Wongsurakiat P, Apichatbutr Y, Chiewroongroj S, Nadeem R, Houfi AE, Alsisi A, Elhadidy A, Barsoum M, Osman N, Mostafa T, Elbahnasawy M, Saber A, Aldhalia A, Elmandouh O, Elsayed A, Elbadawy MA, Awad AK, Hemead HM, Zand F, Ouhadian M, Borsi SH, Mehraban Z, Kashipazha D, Ahmadi F, Savaie M, Soltani F, Rashidi M, Baghbanian R, Javaherforoosh F, Amiri F, Kiani A, Zargar MA, Mahmoodpoor A, Aalinezhad F, Dabiri G, Sabetian G, Sarshad H, Masjedi M, Tajvidi R, Tabatabaei SMN, Ahmed AK, Singer P, Kagan I, Rigler M, Belman D, Levin P, Harara B, Diab A, Abilama F, Ibrahim R, Fares A, Buimsaedah A, Gamra M, Aqeelah A, AliAli AM, Homaidan AGS, Almiqlash B, Bilkhayr H, Bouhuwaish A, Taher AS, Abdulwahed E, Abousnina FA, Hdada AK, Jobran R, Hasan HB, Hasan RSB, Serghini I, Seddiki R, Boukatta B, Kanjaa N, Mouhssine D, Wajdi MA, Dendane T, Zeggwagh AA, Housni B, Younes O, Hachimi A, Ghannam A, Belkhadir Z, Amro S, Jayyab MA, Hssain AA, Elbuzidi A, Karic E, Lance M, Nissar S, Sallam H, Elrabi O, Almekhlafi GA, Awad M, Aljabbary A, Chaaban MK, Abu-Sayf N, Al-Jadaan M, Bakr L, Bouaziz M, Turki O, Sellami W, Centeno P, Morvillo LN, Acevedo JO, Lopez PM, Fernández R, Segura M, Aparicio DM, Alonzo MI, Nuccetelli Y, Montefiore P, Reyes LF, Reyes LF, Ñamendys-Silva SA, Romero-Gonzalez JP, Hermosillo M, Castillo RA, Leal JNP, Aguilar CG, Herrera MOG, Villafuerte MVE, Lomeli-Teran M, Dominguez-Cherit JG, Davalos-Alvarez A, Ñamendys-Silva SA, Sánchez-Hurtado L, Tejeda-Huezo B, Perez-Nieto OR, Tomas ED, De Bus L, De Waele J, Hollevoet I, Denys W, Bourgeois M, Vanderhaeghen SFM, Mesland JB, Henin P, Haentjens L, Biston P, Noel C, Layos N, Misset B, De Schryver N, Serck N, Wittebole X, De Waele E, Opdenacker G, Kovacevic P, Zlojutro B, Custovic A, Filipovic-Grcic I, Radonic R, Brajkovic AV, Persec J, Sakan S, Nikolic M, Lasic H, Leone M, Arbelot C, Timsit JF, Patrier J, Zappela N, Montravers P, Dulac T, Castanera J, Auchabie J, Le Meur A, Marchalot A, Beuzelin M, Massri A, Guesdon C, Escudier E, Mateu P, Rosman J, Leroy O, Alfandari S, Nica A, Souweine B, Coupez E, Duburcq T, Kipnis E, Bortolotti P, Le Souhaitier M, Mira JP, Garcon P, Duprey M, Thyrault M, Paulet R, Philippart F, Tran M, Bruel C, Weiss E, Janny S, Foucrier A, Perrigault PF, Djanikian F, Barbier F, Gainnier M, Bourenne J, Louis G, Smonig R, Argaud L, Baudry T, Dessap AM, Razazi K, Kalfon P, Badre G, Larcher R, Lefrant JY, Roger C, Sarton B, Silva S, Demeret S, Le Guennec L, Siami S, Aparicio C, Voiriot G, Fartoukh M, Dahyot-Fizelier C, Imzi N, Klouche K, Bracht H, Hoheisen S, Bloos F, Thomas-Rueddel D, Petros S, Pasieka B, Dubler S, Schmidt K, Gottschalk A, Wempe C, Lepper P, Metz C, Viderman D, Ymbetzhanov Y, Mugazov M, Bazhykayeva Y, Kaligozhin Z, Babashev B, Merenkov Y, Temirov T, Arvaniti K, Smyrniotis D, Psallida V, Fildisis G, Soulountsi V, Kaimakamis E, Iasonidou C, Papoti S, Renta F, Vasileiou M, Romanou V, Koutsoukou V, Matei MK, Moldovan L, Karaiskos I, Paskalis H, Marmanidou K, Papanikolaou M, Kampolis C, Oikonomou M, Kogkopoulos E, Nikolaou C, Sakkalis A, Chatzis M, Georgopoulou M, Efthymiou A, Chantziara V, Sakagianni A, Athanasa Z, Papageorgiou E, Ali F, Dimopoulos G, Almiroudi MP, Malliotakis P, Marouli D, Theodorou V, Retselas I, Kouroulas V, Papathanakos G, Montrucchio G, Sales G, De Pascale G, Montini LM, Carelli S, Vargas J, Di Gravio V, Giacobbe DR, Gratarola A, Porcile E, Mirabella M, Daroui I, Lodi G, Zuccaro F, Schlevenin MG, Pelosi P, Battaglini D, Cortegiani A, Ippolito M, Bellina D, Di Guardo A, Pelagalli L, Covotta M, Rocco M, Fiorelli S, Cotoia A, Rizzo AC, Mikstacki A, Tamowicz B, Komorowska IK, Szczesniak A, Bojko J, Kotkowska A, Walczak-Wieteska P, Wasowska D, Nowakowski T, Broda H, Peichota M, Pietraszek-Grzywaczewska I, Martin-Loeches I, Bisanti A, Cartoze N, Pereira T, Guimarães N, Alves M, Marques AJP, Pinto AR, Krystopchuk A, Teresa A, de Figueiredo AMP, Botelho I, Duarte T, Costa V, Cunha RP, Molinos E, da Costa T, Ledo S, Queiró J, Pascoalinho D, Nunes C, Moura JP, Pereira É, Mendes AC, Valeanu L, Bubenek-Turconi S, Grintescu IM, Cobilinschi C, Filipescu DC, Predoi CE, Tomescu D, Popescu M, Marcu A, Grigoras I, Lungu O, Gritsan A, Anderzhanova A, Meleshkina Y, Magomedov M, Zubareva N, Tribulev M, Gaigolnik D, Eremenko A, Vistovskaya N, Chukina M, Belskiy V, Furman M, Rocca RF, Martinez M, Casares V, Vera P, Flores M, Amerigo JA, Arnillas MPG, Bermudez RM, Armestar F, Catalan B, Roig R, Raguer L, Quesada MD, Santos ED, Gomà G, Ubeda A, Salgado DM, Espina LF, Prieto EG, Asensio DM, Rodriguez DM, Maseda E, De La Rica AS, Ayestaran JI, Novo M, Blasco-Navalpotro MA, Gallego AO, Sjövall F, Spahic D, Svensson CJ, Haney M, Edin A, Åkerlund J, De Geer L, Prazak J, Jakob S, Pagani J, Abed-Maillard S, Akova M, Aslan AT, Timuroglu A, Kocagoz S, Kusoglu H, Mehtap S, Ceyhun S, Altintas ND, Talan L, Kayaaslan B, Kalem AK, Kurt I, Telli M, Ozturk B, Erol Ç, Demiray EKD, Çolak S, Akbas T, Gundogan K, Sari A, Agalar C, Çolak O, Baykam NN, Akdogan OO, Yilmaz M, Tunay B, Cakmak R, Saltoglu N, Karaali R, Koksal I, Aksoy F, Eroglu A, Saracoglu KT, Bilir Y, Guzeldag S, Ersoz G, Evik G, Sungurtekin H, Ozgen C, Erdoğan C, Gürbüz Y, Altin N, Bayindir Y, Ersoy Y, Goksu S, Akyol A, Batirel A, Aktas SC, Morris AC, Routledge M, Morris AC, Ercole A, Antcliffe D, Rojo R, Tizard K, Faulkner M, Cowton A, Kent M, Raj A, Zormpa A, Tinaslanidis G, Khade R, Torlinski T, Mulhi R, Goyal S, Bajaj M, Soltan M, Yonan A, Dolan R, Johnson A, Macfie C, Lennard J, Templeton M, Arias SS, Franke U, Hugill K, Angell H, Parcell BJ, Cobb K, Cole S, Smith T, Graham C, Cerman J, Keegan A, Ritzema J, Sanderson A, Roshdy A, Szakmany T, Baumer T, Longbottom R, Hall D, Tatham K, Loftus S, Husain A, Black E, Jhanji S, Baikady RR, Mcguigan P, Mckee R, Kannan S, Antrolikar S, Marsden N, Torre VD, Banach D, Zaki A, Jackson M, Chikungwa M, Attwood B, Patel J, Tilley RE, Humphreys MSK, Renaud PJ, Sokhan A, Burma Y, Sligl W, Baig N, McCoshen L, Kutsogiannis DJ, Sligl W, Thompson P, Hewer T, Rabbani R, Huq SMR, Hasan R, Islam MM, Gurjar M, Baronia A, Kothari N, Sharma A, Karmakar S, Sharma P, Nimbolkar J, Samdani P, Vaidyanathan R, Rubina NA, Jain N, Pahuja M, Singh R, Shekhar S, Muzaffar SN, Ozair A, Siddiqui SS, Bose P, Datta A, Rathod D, Patel M, Renuka MK, Baby SK, Dsilva C, Chandran J, Ghosh P, Mukherjee S, Sheshala K, Misra KC, Yakubu SY, Ugwu EM, Olatosi JO, Desalu I, Asiyanbi G, Oladimeji M, Idowu O, Adeola F, Mc Cree M, Karar AAA, Saidahmed E, Hamid HKS. Epidemiology and outcomes of hospital-acquired bloodstream infections in intensive care unit patients: the EUROBACT-2 international cohort study. Intensive Care Med 2023; 49:178-190. [PMID: 36764959 PMCID: PMC9916499 DOI: 10.1007/s00134-022-06944-2] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 11/23/2022] [Indexed: 02/12/2023]
Abstract
PURPOSE In the critically ill, hospital-acquired bloodstream infections (HA-BSI) are associated with significant mortality. Granular data are required for optimizing management, and developing guidelines and clinical trials. METHODS We carried out a prospective international cohort study of adult patients (≥ 18 years of age) with HA-BSI treated in intensive care units (ICUs) between June 2019 and February 2021. RESULTS 2600 patients from 333 ICUs in 52 countries were included. 78% HA-BSI were ICU-acquired. Median Sequential Organ Failure Assessment (SOFA) score was 8 [IQR 5; 11] at HA-BSI diagnosis. Most frequent sources of infection included pneumonia (26.7%) and intravascular catheters (26.4%). Most frequent pathogens were Gram-negative bacteria (59.0%), predominantly Klebsiella spp. (27.9%), Acinetobacter spp. (20.3%), Escherichia coli (15.8%), and Pseudomonas spp. (14.3%). Carbapenem resistance was present in 37.8%, 84.6%, 7.4%, and 33.2%, respectively. Difficult-to-treat resistance (DTR) was present in 23.5% and pan-drug resistance in 1.5%. Antimicrobial therapy was deemed adequate within 24 h for 51.5%. Antimicrobial resistance was associated with longer delays to adequate antimicrobial therapy. Source control was needed in 52.5% but not achieved in 18.2%. Mortality was 37.1%, and only 16.1% had been discharged alive from hospital by day-28. CONCLUSIONS HA-BSI was frequently caused by Gram-negative, carbapenem-resistant and DTR pathogens. Antimicrobial resistance led to delays in adequate antimicrobial therapy. Mortality was high, and at day-28 only a minority of the patients were discharged alive from the hospital. Prevention of antimicrobial resistance and focusing on adequate antimicrobial therapy and source control are important to optimize patient management and outcomes.
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Affiliation(s)
- Alexis Tabah
- Intensive Care Unit, Redcliffe Hospital, Brisbane, Australia. .,Queensland Critical Care Research Network (QCCRN), Brisbane, QLD, Australia. .,Queensland University of Technology, Brisbane, QLD, Australia. .,Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
| | - Niccolò Buetti
- Infection Control Program and WHO Collaborating Centre on Patient Safety, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland.,Université de Paris, INSERM, IAME UMR 1137, 75018, Paris, France
| | | | - Stéphane Ruckly
- Université de Paris, INSERM, IAME UMR 1137, 75018, Paris, France.,ICUREsearch, Biometry, 38600, Fontaine, France
| | - Murat Akova
- Department of Infectious Diseases, Hacettepe University School of Medicine, Ankara, Turkey
| | - Abdullah Tarik Aslan
- Department of Internal Medicine, Hacettepe University School of Medicine, Ankara, Turkey
| | - Marc Leone
- Department of Anesthesiology and Intensive Care Unit, Hospital Nord, Aix Marseille University, Assistance Publique Hôpitaux Universitaires de Marseille, Marseille, France
| | - Andrew Conway Morris
- Division of Anaesthesia, Department of Medicine, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, UK.,Division of Immunology, Department of Pathology, University of Cambridge, Tennis Court Road, Cambridge, Cb2 1QP, UK.,JVF Intensive Care Unit, Addenbrooke's Hospital, Cambridge, Hills Road, Cambridge, CB2 0QQ, UK
| | - Matteo Bassetti
- Infectious Diseases Clinic, Department of Health Sciences, University of Genoa and Ospedale Policlinico San Martino, Genoa, Italy
| | - Kostoula Arvaniti
- Intensive Care Unit, Papageorgiou University Affiliated Hospital, Thessaloníki, Greece
| | - Jeffrey Lipman
- Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.,Nimes University Hospital, University of Montpellier, Nimes, France.,Jamieson Trauma Institute, Royal Brisbane and Women's Hospital, Herston, Australia
| | - Ricard Ferrer
- Intensive Care Department, SODIR-VHIR Research Group, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Haibo Qiu
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Nanjing Zhongda Hospital, Southeast University, Nanjing, 210009, China
| | - José-Artur Paiva
- Intensive Care Medicine Department, Centro Hospitalar Universitário Sao Joao, Porto, Portugal.,Department of Medicine, Faculty of Medicine, University of Porto, Porto, Portugal.,Infection and Sepsis ID Group, Porto, Portugal
| | - Pedro Povoa
- NOVA Medical School, New University of Lisbon, Lisbon, Portugal.,Center for Clinical Epidemiology and Research Unit of Clinical Epidemiology, OUH Odense University Hospital, Odense, Denmark.,Polyvalent Intensive Care Unit, Hospital de São Francisco Xavier, CHLO, Lisbon, Portugal
| | - Liesbet De Bus
- Department of Critical Care Medicine, Ghent University Hospital, Ghent, Belgium
| | - Jan De Waele
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.,Department of Intensive Care Medicine, Ghent University Hospital, Ghent, Belgium
| | - Farid Zand
- Anesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohan Gurjar
- Department of Critical Care Medicine, Sanjay Gandhi Post Graduate Institute of Medical Sciences (SGPGIMS), Lucknow, India
| | - Adel Alsisi
- ICU Department, Prime Hospital, Dubai, United Arab Emirates.,Critical Care Department, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Khalid Abidi
- Medical ICU, Ibn Sina University Hospital, Faculty of Medicine and Pharmacy, Mohammed V University, Rabat, Morocco
| | - Hendrik Bracht
- Central Interdisciplinary Emergency Medicine, University Hospital Ulm, Ulm, Germany
| | - Yoshiro Hayashi
- Department of Intensive Care Medicine, Kameda General Hospital, Kamogawa, Japan
| | - Kyeongman Jeon
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | | | - François Barbier
- Service de Médecine Intensive-Réanimation, Centre Hospitalier Régional d'Orléans, 14, avenue de L'Hôpital, 45100, Orléans, France
| | - Jean-François Timsit
- Université Paris-Cité, INSERM, IAME UMR 1137, 75018, Paris, France.,Medical and Infectious Diseases Intensive Care Unit, AP-HP, Bichat-Claude Bernard University Hospital, 46 Omdurman maternity hospitalrue Henri Huchard, 75877, Paris Cedex, France
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Deshpande A, Miller-Petrie MK, Lindstedt PA, Baumann MM, Johnson KB, Blacker BF, Abbastabar H, Abd-Allah F, Abdelalim A, Abdollahpour I, Abegaz KH, Abejie AN, Abreu LG, Abrigo MR, Abualhasan A, Accrombessi MMK, Adamu AA, Adebayo OM, Adedeji IA, Adedoyin RA, Adekanmbi V, Adetokunboh OO, Adhikari TB, Afarideh M, Agudelo-Botero M, Ahmadi M, Ahmadi K, Ahmed MB, Ahmed AE, Akalu TY, Akanda AS, Alahdab F, Al-Aly Z, Alam S, Alam N, Alamene GM, Alanzi TM, Albright J, Albujeer A, Alcalde-Rabanal JE, Alebel A, Alemu ZA, Ali M, Alijanzadeh M, Alipour V, Aljunid SM, Almasi A, Almasi-Hashiani A, Al-Mekhlafi HM, Altirkawi KA, Alvis-Guzman N, Alvis-Zakzuk NJ, Amini S, Amit AML, Amul GGH, Andrei CL, Anjomshoa M, Ansariadi A, Antonio CAT, Antony B, Antriyandarti E, Arabloo J, Aref HMA, Aremu O, Armoon B, Arora A, Aryal KK, Arzani A, Asadi-Aliabadi M, Asmelash D, Atalay HT, Athari SM, Athari SS, Atre SR, Ausloos M, Awasthi S, Awoke N, Ayala Quintanilla BP, Ayano G, Ayanore MA, Aynalem YA, Azari S, Azman AS, Babaee E, Badawi A, Bagherzadeh M, Bakkannavar SM, Balakrishnan S, Banach M, Banoub JAM, Barac A, Barboza MA, Bärnighausen TW, Basu S, Bay VD, Bayati M, Bedi N, Beheshti M, Behzadifar M, Behzadifar M, Bejarano Ramirez DF, Bell ML, Bennett DA, Benzian H, Berbada DA, Bernstein RS, Bhat AG, Bhattacharyya K, Bhaumik S, Bhutta ZA, Bijani A, Bikbov B, Bin Sayeed MS, Biswas RK, Bohlouli S, Boufous S, Brady OJ, Briko AN, Briko NI, Britton GB, Brown A, Burugina Nagaraja S, Butt ZA, Cámera LA, Campos-Nonato IR, Campuzano Rincon JC, Cano J, Car J, Cárdenas R, Carvalho F, Castañeda-Orjuela CA, Castro F, Cerin E, Chalise B, Chattu VK, Chin KL, Christopher DJ, Chu DT, Cormier NM, Costa VM, Cromwell EA, Dadi AFF, Dahiru T, Dahlawi SMA, Dandona R, Dandona L, Dang AK, Daoud F, Darwesh AM, Darwish AH, Daryani A, Das JK, Das Gupta R, Dash AP, Dávila-Cervantes CA, Davis Weaver N, De la Hoz FP, De Neve JW, Demissie DB, Demoz GT, Denova-Gutiérrez E, Deribe K, Desalew A, Dharmaratne SD, Dhillon P, Dhimal M, Dhungana GP, Diaz D, Dipeolu IO, Do HT, Dolecek C, Doyle KE, Dubljanin E, Duraes AR, Edinur HA, Effiong A, Eftekhari A, El Nahas N, El Sayed Zaki M, El Tantawi M, Elhabashy HR, El-Jaafary SI, El-Khatib Z, Elkout H, Elsharkawy A, Enany S, Endalew DA, Eshrati B, Eskandarieh S, Etemadi A, Ezekannagha O, Faraon EJA, Fareed M, Faro A, Farzadfar F, Fasil AF, Fazlzadeh M, Feigin VL, Fekadu W, Fentahun N, Fereshtehnejad SM, Fernandes E, Filip I, Fischer F, Flohr C, Foigt NA, Folayan MO, Foroutan M, Franklin RC, Frostad JJ, Fukumoto T, Gad MM, Garcia GM, Gatotoh AM, Gayesa RT, Gebremedhin KB, Geramo YCD, Gesesew HA, Gezae KE, Ghashghaee A, Ghazi Sherbaf F, Gill TK, Gill PS, Ginindza TG, Girmay A, Gizaw Z, Goodridge A, Gopalani SV, Goulart BNG, Goulart AC, Grada A, Green MS, Gubari MIM, Gugnani HC, Guido D, Guimarães RA, Guo Y, Gupta R, Gupta R, Ha GH, Haagsma JA, Hafezi-Nejad N, Haile DH, Haile MT, Hall BJ, Hamidi S, Handiso DW, Haririan H, Hariyani N, Hasaballah AI, Hasan MM, Hasanzadeh A, Hassen HY, Hayelom DH, Hegazy MI, Heibati B, Heidari B, Hendrie D, Henok A, Herteliu C, Heydarpour F, Hidru HDD, Hird TR, Hoang CL, Hollerich GI, Hoogar P, Hossain N, Hosseinzadeh M, Househ M, Hu G, Humayun A, Hussain SA, Hussen MAA, Ibitoye SE, Ilesanmi OS, Ilic MD, Imani-Nasab MH, Iqbal U, Irvani SSN, Islam SMS, Ivers RQ, Iwu CJ, Jahanmehr N, Jakovljevic M, Jalali A, Jayatilleke AU, Jenabi E, Jha RP, Jha V, Ji JS, Jonas JB, Jozwiak JJ, Kabir A, Kabir Z, Kanchan T, Karch A, Karki S, Kasaeian A, Kasahun GG, Kasaye HK, Kassa GG, Kassa GM, Kayode GA, Kebede MM, Keiyoro PN, Ketema DB, Khader YS, Khafaie MA, Khalid N, Khalilov R, Khan EA, Khan J, Khan MN, Khatab K, Khater MM, Khater AM, Khayamzadeh M, Khazaei M, Khosravi MH, Khubchandani J, Kiadaliri A, Kim YJ, Kimokoti RW, Kisa S, Kisa A, Kochhar S, Kolola T, Komaki H, Kosen S, Koul PA, Koyanagi A, Krishan K, Kuate Defo B, Kugbey N, Kumar P, Kumar GA, Kumar M, Kusuma D, La Vecchia C, Lacey B, Lal A, Lal DK, Lam H, Lami FH, Lansingh VC, Lasrado S, Lebedev G, Lee PH, LeGrand KE, Leili M, Lenjebo TL, Leshargie CT, Levine AJ, Lewycka S, Li S, Linn S, Liu S, Lopez JCF, Lopukhov PD, Magdy Abd El Razek M, Mahadeshwara Prasad D, Mahasha PW, Mahotra NB, Majeed A, Malekzadeh R, Malta DC, Mamun AA, Manafi N, Mansournia MA, Mapoma CC, Martinez G, Martini S, Martins-Melo FR, Mathur MR, Mayala BK, Mazidi M, McAlinden C, Meharie BG, Mehndiratta MM, Mehrabi Nasab E, Mehta KM, Mekonnen T, Mekonnen TC, Meles GG, Meles HG, Memiah PTN, Memish ZA, Mendoza W, Menezes RG, Mereta ST, Meretoja TJ, Mestrovic T, Metekiya WM, Metekiya WM, Miazgowski B, Miller TR, Mini GK, Mirrakhimov EM, Moazen B, Mohajer B, Mohammad Y, Mohammad DK, Mohammad Gholi Mezerji N, Mohammadibakhsh R, Mohammed S, Mohammed JA, Mohammed H, Mohebi F, Mokdad AH, Moodley Y, Moradi M, Moradi G, Moradi-Joo M, Moraga P, Morales L, Mosapour A, Mosser JF, Mouodi S, Mousavi SM, Mozaffor M, Munro SB, Muriithi MK, Murray CJL, Musa KI, Mustafa G, Muthupandian S, Naderi M, Nagarajan AJ, Naghavi M, Naik G, Nangia V, Nascimento BR, Nazari J, Ndwandwe DE, Negoi I, Netsere HB, Ngunjiri JW, Nguyen CT, Nguyen HLT, Nguyen QP, Nigatu SG, Ningrum DNA, Nnaji CA, Nojomi M, Norheim OF, Noubiap JJ, Oancea B, Ogbo FA, Oh IH, Olagunju AT, Olusanya JO, Olusanya BO, Onwujekwe OE, Ortega-Altamirano DV, Osarenotor O, Osei FB, Owolabi MO, P A M, Padubidri JR, Pakhale S, Pana A, Park EK, Patel SK, Pathak A, Patle A, Paulos K, Pepito VCF, Perico N, Pervaiz A, Pescarini JM, Pesudovs K, Pham HQ, Pigott DM, Pilgrim T, Pirsaheb M, Poljak M, Pollock I, Postma MJ, Pourmalek F, Pourshams A, Prada SI, Preotescu L, Quintana H, Rabiee N, Rabiee M, Radfar A, Rafiei A, Rahim F, Rahimi S, Rahimi-Movaghar V, Rahman MA, Rahman MHU, Rajati F, Ranabhat CL, Rao PC, Rasella D, Rath GK, Rawaf S, Rawal L, Rawasia WF, Remuzzi G, Renjith V, Renzaho AM, Resnikoff S, Riahi SM, Ribeiro AI, Rickard J, Roever L, Ronfani L, Rubagotti E, Rubino S, Saad AM, Sabour S, Sadeghi E, Saeedi Moghaddam S, Safari Y, Sagar R, Sahraian MA, Sajadi SM, Salahshoor MR, Salam N, Saleem A, Salem H, Salem MR, Salimi Y, Salimzadeh H, Samy AM, Sanabria J, Santos IS, Santric-Milicevic MM, Sao Jose BP, Saraswathy SYI, Sarrafzadegan N, Sartorius B, Sathian B, Sathish T, Satpathy M, Sawhney M, Sayyah M, Sbarra AN, Schaeffer LE, Schwebel DC, Senbeta AM, Senthilkumaran S, Sepanlou SG, Serván-Mori E, Shafieesabet A, Shaheen AA, Shahid I, Shaikh MA, Shalash AS, Shams-Beyranvand M, Shamsi M, Shamsizadeh M, Shannawaz M, Sharafi K, Sharma R, Sheikh A, Shetty BSK, Shiferaw WS, Shigematsu M, Shin JI, Shiri R, Shirkoohi R, Shivakumar KM, Si S, Siabani S, Siddiqi TJ, Silva DAS, Singh V, Singh NP, Singh BBS, Singh JA, Singh A, Sinha DN, Sisay MM, Skiadaresi E, Smith DL, Soares Filho AM, Sobhiyeh MR, Sokhan A, Soriano JB, Sorrie MB, Soyiri IN, Spurlock EE, Sreeramareddy CT, Sudaryanto A, Sufiyan MB, Suleria HAR, Sykes BL, Tabarés-Seisdedos R, Tabuchi T, Tadesse DB, Tarigan IU, Taye B, Tefera YM, Tehrani-Banihashemi A, Tekelemedhin SW, Tekle MG, Temsah MH, Tesfay BE, Tesfay FH, Tessema ZT, Thankappan KR, ThekkePurakkal AS, Thomas N, Thompson RL, Thomson AJ, Topor-Madry R, Tovani-Palone MR, Traini E, Tran BX, Tran KB, Ullah I, Unnikrishnan B, Usman MS, Uthman OA, Uzochukwu BSC, Valdez PR, Varughese S, Veisani Y, Violante FS, Vollmer S, W/hawariat FG, Waheed Y, Wallin MT, Wang YP, Wang Y, Wangdi K, Weiss DJ, Weldesamuel GT, Werkneh AA, Westerman R, Wiangkham T, Wiens KE, Wijeratne T, Wiysonge CS, Wolde HF, Wondafrash DZ, Wonde TE, Worku GT, Yadollahpour A, Yahyazadeh Jabbari SH, Yamada T, Yaseri M, Yatsuya H, Yeshaneh A, Yilma MT, Yip P, Yisma E, Yonemoto N, Younis MZ, Yousof HASA, Yu C, Yusefzadeh H, Zadey S, Zahirian Moghadam T, Zaidi Z, Zaman SB, Zamani M, Zandian H, Zar HJ, Zerfu TA, Zhang Y, Ziapour A, Zodpey S, Zuniga YMH, Hay SI, Reiner RC. Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17. Lancet Glob Health 2020; 8:e1162-e1185. [PMID: 32827479 PMCID: PMC7443708 DOI: 10.1016/s2214-109x(20)30278-3] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [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: 03/11/2020] [Revised: 05/01/2020] [Accepted: 06/04/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Universal access to safe drinking water and sanitation facilities is an essential human right, recognised in the Sustainable Development Goals as crucial for preventing disease and improving human wellbeing. Comprehensive, high-resolution estimates are important to inform progress towards achieving this goal. We aimed to produce high-resolution geospatial estimates of access to drinking water and sanitation facilities. METHODS We used a Bayesian geostatistical model and data from 600 sources across more than 88 low-income and middle-income countries (LMICs) to estimate access to drinking water and sanitation facilities on continuous continent-wide surfaces from 2000 to 2017, and aggregated results to policy-relevant administrative units. We estimated mutually exclusive and collectively exhaustive subcategories of facilities for drinking water (piped water on or off premises, other improved facilities, unimproved, and surface water) and sanitation facilities (septic or sewer sanitation, other improved, unimproved, and open defecation) with use of ordinal regression. We also estimated the number of diarrhoeal deaths in children younger than 5 years attributed to unsafe facilities and estimated deaths that were averted by increased access to safe facilities in 2017, and analysed geographical inequality in access within LMICs. FINDINGS Across LMICs, access to both piped water and improved water overall increased between 2000 and 2017, with progress varying spatially. For piped water, the safest water facility type, access increased from 40·0% (95% uncertainty interval [UI] 39·4-40·7) to 50·3% (50·0-50·5), but was lowest in sub-Saharan Africa, where access to piped water was mostly concentrated in urban centres. Access to both sewer or septic sanitation and improved sanitation overall also increased across all LMICs during the study period. For sewer or septic sanitation, access was 46·3% (95% UI 46·1-46·5) in 2017, compared with 28·7% (28·5-29·0) in 2000. Although some units improved access to the safest drinking water or sanitation facilities since 2000, a large absolute number of people continued to not have access in several units with high access to such facilities (>80%) in 2017. More than 253 000 people did not have access to sewer or septic sanitation facilities in the city of Harare, Zimbabwe, despite 88·6% (95% UI 87·2-89·7) access overall. Many units were able to transition from the least safe facilities in 2000 to safe facilities by 2017; for units in which populations primarily practised open defecation in 2000, 686 (95% UI 664-711) of the 1830 (1797-1863) units transitioned to the use of improved sanitation. Geographical disparities in access to improved water across units decreased in 76·1% (95% UI 71·6-80·7) of countries from 2000 to 2017, and in 53·9% (50·6-59·6) of countries for access to improved sanitation, but remained evident subnationally in most countries in 2017. INTERPRETATION Our estimates, combined with geospatial trends in diarrhoeal burden, identify where efforts to increase access to safe drinking water and sanitation facilities are most needed. By highlighting areas with successful approaches or in need of targeted interventions, our estimates can enable precision public health to effectively progress towards universal access to safe water and sanitation. FUNDING Bill & Melinda Gates Foundation.
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Reiner RC, Wiens KE, Deshpande A, Baumann MM, Lindstedt PA, Blacker BF, Troeger CE, Earl L, Munro SB, Abate D, Abbastabar H, Abd-Allah F, Abdelalim A, Abdollahpour I, Abdulkader RS, Abebe G, Abegaz KH, Abreu LG, Abrigo MRM, Accrombessi MMK, Acharya D, Adabi M, Adebayo OM, Adedoyin RA, Adekanmbi V, Adetokunboh OO, Adhena BM, Afarideh M, Ahmadi K, Ahmadi M, Ahmed AE, Ahmed MB, Ahmed R, Ajumobi O, Akal CG, Akalu TY, Akanda AS, Alamene GM, Alanzi TM, Albright JR, Alcalde Rabanal JE, Alemnew BT, Alemu ZA, Ali BA, Ali M, Alijanzadeh M, Alipour V, Aljunid SM, Almasi A, Almasi-Hashiani A, Al-Mekhlafi HM, Altirkawi K, Alvis-Guzman N, Alvis-Zakzuk NJ, Amare AT, Amini S, Amit AML, Andrei CL, Anegago MT, Anjomshoa M, Ansari F, Antonio CAT, Antriyandarti E, Appiah SCY, Arabloo J, Aremu O, Armoon B, Aryal KK, Arzani A, Asadi-Lari M, Ashagre AF, Atalay HT, Atique S, Atre SR, Ausloos M, Avila-Burgos L, Awasthi A, Awoke N, Ayala Quintanilla BP, Ayano G, Ayanore MA, Ayele AA, Aynalem YAA, Azari S, Babaee E, Badawi A, Bakkannavar SM, Balakrishnan S, Bali AG, Banach M, Barac A, Bärnighausen TW, Basaleem H, Bassat Q, Bayati M, Bedi N, Behzadifar M, Behzadifar M, Bekele YA, Bell ML, Bennett DA, Berbada DA, Beyranvand T, Bhat AG, Bhattacharyya K, Bhattarai S, Bhaumik S, Bijani A, Bikbov B, Biswas RK, Bogale KA, Bohlouli S, Brady OJ, Bragazzi NL, Briko NI, Briko AN, Burugina Nagaraja S, Butt ZA, Campos-Nonato IR, Campuzano Rincon JC, Cárdenas R, Carvalho F, Castro F, Chansa C, Chatterjee P, Chattu VK, Chauhan BG, Chin KL, Christopher DJ, Chu DT, Claro RM, Cormier NM, Costa VM, Damiani G, Daoud F, Dandona L, Dandona R, Darwish AH, Daryani A, Das JK, Das Gupta R, Dasa TT, Davila CA, Davis Weaver N, Davitoiu DV, De Neve JW, Demeke FM, Demis AB, Demoz GT, Denova-Gutiérrez E, Deribe K, Desalew A, Dessie GA, Dharmaratne SD, Dhillon P, Dhimal M, Dhungana GP, Diaz D, Ding EL, Diro HD, Djalalinia S, Do HP, Doku DT, Dolecek C, Dubey M, Dubljanin E, Duko Adema B, Dunachie SJ, Durães AR, Duraisamy S, Effiong A, Eftekhari A, El Sayed I, El Sayed Zaki M, El Tantawi M, Elemineh DA, El-Jaafary SI, Elkout H, Elsharkawy A, Enany S, Endalamfaw A, Endalew DA, Eskandarieh S, Esteghamati A, Etemadi A, Farag TH, Faraon EJA, Fareed M, Faridnia R, Farioli A, Faro A, Farzam H, Fazaeli AA, Fazlzadeh M, Fentahun N, Fereshtehnejad SM, Fernandes E, Filip I, Fischer F, Foroutan M, Francis JM, Franklin RC, Frostad JJ, Fukumoto T, Gayesa RT, Gebremariam KT, Gebremedhin KBB, Gebremeskel GG, Gedefaw GA, Geramo YCD, Geta B, Gezae KE, Ghashghaee A, Ghassemi F, Gill PS, Ginawi IA, Goli S, Gomes NGM, Gopalani SV, Goulart BNG, Grada A, Gugnani HC, Guido D, Guimares RA, Guo Y, Gupta R, Gupta R, Hafezi-Nejad N, Haile MT, Hailu GB, Haj-Mirzaian A, Haj-Mirzaian A, Hall BJ, Handiso DW, Haririan H, Hariyani N, Hasaballah AI, Hasan MM, Hasanzadeh A, Hassankhani H, Hassen HY, Hayelom DH, Heidari B, Henry NJ, Herteliu C, Heydarpour F, Hidru HDD, Hoang CL, Hoogar P, Hoseini-Ghahfarokhi M, Hossain N, Hosseini M, Hosseinzadeh M, Househ M, Hu G, Humayun A, Hussain SA, Ibitoye SE, Ilesanmi OS, Ilic MD, Inbaraj LR, Irvani SSN, Islam SMS, Iwu CJ, Jaca A, Jafari Balalami N, Jahanmehr N, Jakovljevic M, Jalali A, Jayatilleke AU, Jenabi E, Jha RP, Jha V, Ji JS, Jia P, Johnson KB, Jonas JB, Jozwiak JJ, Kabir A, Kabir Z, Kahsay A, Kalani H, Kanchan T, Karami Matin B, Karch A, Karki S, Kasaeian A, Kasahun GG, Kayode GA, Kazemi Karyani A, Keiyoro PN, Ketema DB, Khader YS, Khafaie MA, Khalid N, Khalil AT, Khalil I, Khalilov R, Khan MN, Khan EA, Khan G, Khan J, Khatab K, Khater A, Khater MM, Khatony A, Khayamzadeh M, Khazaei M, Khazaei S, Khodamoradi E, Khosravi MH, Khubchandani J, Kiadaliri AA, Kim YJ, Kimokoti RW, Kisa S, Kisa A, Kissoon N, Kondlahalli SKMKMM, Kosek MN, Koyanagi A, Kraemer MUG, Krishan K, Kugbey N, Kumar GA, Kumar M, Kumar P, Kusuma D, La Vecchia C, Lacey B, Lal A, Lal DK, Lami FH, Lansingh VC, Lasrado S, Lee PH, Leili M, Lenjebo TTLL, Levine AJ, Lewycka S, Li S, Linn S, Lodha R, Longbottom J, Lopukhov PD, Magdeldin S, Mahasha PW, Mahotra NB, Malta DC, Mamun AA, Manafi N, Manafi F, Manda AL, Mansournia MA, Mapoma CC, Marami D, Marczak LB, Martins-Melo FR, März W, Masaka A, Mathur MR, Maulik PK, Mayala BK, McAlinden C, Mehndiratta MM, Mehrotra R, Mehta KM, Meles GG, Melese A, Memish ZA, Mena AT, Menezes RG, Mengesha MM, Mengistu DT, Mengistu G, Meretoja TJ, Miazgowski B, Mihretie KMM, Miller-Petrie MK, Mills EJ, Mir SM, Mirabi P, Mirrakhimov EM, Mohamadi-Bolbanabad A, Mohammad KA, Mohammad Y, Mohammad DK, Mohammad Darwesh A, Mohammad Gholi Mezerji N, Mohammadifard N, Mohammed AS, Mohammed S, Mohammed JA, Mohebi F, Mokdad AH, Monasta L, Moodley Y, Moradi M, Moradi G, Moradi-Joo M, Moradi-Lakeh M, Moraga P, Mosapour A, Mouodi S, Mousavi SM, Mozaffor MMM, Muluneh AG, Muriithi MK, Murray CJL, Murthy GVS, Musa KI, Mustafa G, Muthupandian S, Naderi M, Nagarajan AJ, Naghavi M, Najafi F, Nangia V, Nazari J, Ndwandwe DE, Negoi I, Ngunjiri JW, Nguyen QP, Nguyen TH, Nguyen CT, Nigatu D, Ningrum DNA, Nnaji CA, Nojomi M, Noubiap JJ, Oh IH, Okpala O, Olagunju AT, Omar Bali A, Onwujekwe OE, Ortega-Altamirano DDV, Osarenotor O, Osei FB, Owolabi MO, P A M, Padubidri JR, Pana A, Pashaei T, Pati S, Patle A, Patton GC, Paulos K, Pepito VCF, Pereira A, Perico N, Pesudovs K, Pigott DM, Piroozi B, Platts-Mills JA, Poljak M, Postma MJ, Pourjafar H, Pourmalek F, Pourshams A, Poustchi H, Prada SI, Preotescu L, Quintana H, Rabiee N, Rabiee M, Radfar A, Rafiei A, Rahim F, Rahimi-Movaghar V, Rahman MA, Rajati F, Ramezanzadeh K, Rana SM, Ranabhat CL, Rasella D, Rawaf S, Rawaf DL, Rawal L, Remuzzi G, Renjith V, Renzaho AMN, Reta MA, Rezaei S, Ribeiro AI, Rickard J, Rios González CM, Rios-Blancas MJ, Roever L, Ronfani L, Roro EM, Rostami A, Rothenbacher D, Rubagotti E, Rubino S, Saad AM, Sabour S, Sadeghi E, Safari S, Safdarian M, Sagar R, Sahraian MA, Sajadi SM, Salahshoor MR, Salam N, Salehi F, Salehi Zahabi S, Salem MRR, Salem H, Salimi Y, Salimzadeh H, Sambala EZ, Samy AM, Sanabria J, Santos IS, Saraswathy SYI, Sarker AR, Sartorius B, Sathian B, Satpathy M, Sbarra AN, Schaeffer LE, Schwebel DC, Senbeta AM, Senthilkumaran S, Shabaninejad H, Shaheen AA, Shaikh MA, Shalash AS, Shallo SA, Shams-Beyranvand M, Shamsi M, Shamsizadeh M, Sharif M, Shey MS, Shibuya K, Shiferaw WSS, Shigematsu M, Shil A, Shin JI, Shiri R, Shirkoohi R, Si S, Siabani S, Singh JA, Singh NP, Sinha DN, Sisay MM, Skiadaresi E, Smith DL, Sobhiyeh MR, Sokhan A, Soofi M, Soriano JB, Sorrie MB, Soyiri IN, Sreeramareddy CT, Sudaryanto A, Sufiyan MB, Suleria HAR, Sykes BL, Tamirat KS, Tassew AA, Taveira N, Taye B, Tehrani-Banihashemi A, Temsah MH, Tesfay BE, Tesfay FH, Tessema ZT, Thankappan KR, Thirunavukkarasu S, Thomas N, Tlaye KG, Tlou B, Tovani-Palone MR, Traini E, Tran KB, Trihandini I, Ullah I, Unnikrishnan B, Valadan Tahbaz S, Valdez PR, Varughese S, Veisani Y, Violante FS, Vollmer S, Vos T, Wada FW, Waheed Y, Wang Y, Wang YP, Weldesamuel GT, Welgan CA, Westerman R, Wiangkham T, Wijeratne T, Wiysonge CSS, Wolde HF, Wondafrash DZ, Wonde TE, Wu AM, Xu G, Yadollahpour A, Yahyazadeh Jabbari SH, Yamada T, Yaseri M, Yenesew MA, Yeshaneh A, Yilma MT, Yimer EM, Yip P, Yirsaw BD, Yisma E, Yonemoto N, Younis MZ, Yousof HASA, Yu C, Yusefzadeh H, Zamani M, Zambrana-Torrelio C, Zandian H, Zeleke AJ, Zepro NB, Zewale TA, Zhang D, Zhang Y, Zhao XJ, Ziapour A, Zodpey S, Hay SI. Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000-17: analysis for the Global Burden of Disease Study 2017. Lancet 2020; 395:1779-1801. [PMID: 32513411 PMCID: PMC7314599 DOI: 10.1016/s0140-6736(20)30114-8] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Revised: 10/24/2019] [Accepted: 01/10/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Across low-income and middle-income countries (LMICs), one in ten deaths in children younger than 5 years is attributable to diarrhoea. The substantial between-country variation in both diarrhoea incidence and mortality is attributable to interventions that protect children, prevent infection, and treat disease. Identifying subnational regions with the highest burden and mapping associated risk factors can aid in reducing preventable childhood diarrhoea. METHODS We used Bayesian model-based geostatistics and a geolocated dataset comprising 15 072 746 children younger than 5 years from 466 surveys in 94 LMICs, in combination with findings of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, to estimate posterior distributions of diarrhoea prevalence, incidence, and mortality from 2000 to 2017. From these data, we estimated the burden of diarrhoea at varying subnational levels (termed units) by spatially aggregating draws, and we investigated the drivers of subnational patterns by creating aggregated risk factor estimates. FINDINGS The greatest declines in diarrhoeal mortality were seen in south and southeast Asia and South America, where 54·0% (95% uncertainty interval [UI] 38·1-65·8), 17·4% (7·7-28·4), and 59·5% (34·2-86·9) of units, respectively, recorded decreases in deaths from diarrhoea greater than 10%. Although children in much of Africa remain at high risk of death due to diarrhoea, regions with the most deaths were outside Africa, with the highest mortality units located in Pakistan. Indonesia showed the greatest within-country geographical inequality; some regions had mortality rates nearly four times the average country rate. Reductions in mortality were correlated to improvements in water, sanitation, and hygiene (WASH) or reductions in child growth failure (CGF). Similarly, most high-risk areas had poor WASH, high CGF, or low oral rehydration therapy coverage. INTERPRETATION By co-analysing geospatial trends in diarrhoeal burden and its key risk factors, we could assess candidate drivers of subnational death reduction. Further, by doing a counterfactual analysis of the remaining disease burden using key risk factors, we identified potential intervention strategies for vulnerable populations. In view of the demands for limited resources in LMICs, accurately quantifying the burden of diarrhoea and its drivers is important for precision public health. FUNDING Bill & Melinda Gates Foundation.
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Frank TD, Carter A, Jahagirdar D, Biehl MH, Douwes-Schultz D, Larson SL, Arora M, Dwyer-Lindgren L, Steuben KM, Abbastabar H, Abu-Raddad LJ, Abyu DM, Adabi M, Adebayo OM, Adekanmbi V, Adetokunboh OO, Ahmadi A, Ahmadi K, Ahmadian E, Ahmadpour E, Ahmed MB, Akal CG, Alahdab F, Alam N, Albertson SB, Alemnew BTT, Alene KA, Alipour V, Alvis-Guzman N, Amini S, Anbari Z, Anber NH, Anjomshoa M, Antonio CAT, Arabloo J, Aremu O, Areri HA, Asfaw ET, Ashagre AF, Asmelash D, Asrat AA, Avokpaho EFGA, Awasthi A, Awoke N, Ayanore MA, Azari S, Badawi A, Bagherzadeh M, Banach M, Barac A, Bärnighausen TW, Basu S, Bedi N, Behzadifar M, Bekele BB, Belay SA, Belay YB, Belayneh YM, Berhane A, Bhat AG, Bhattacharyya K, Biadgo B, Bijani A, Bin Sayeed MS, Bitew H, Blinov A, Bogale KA, Bojia HA, Burugina Nagaraja SBN, Butt ZA, Cahuana-Hurtado L, Campuzano Rincon JC, Carvalho F, Chattu VK, Christopher DJ, Chu DT, Crider R, Dahiru T, Dandona L, Dandona R, Daryani A, das Neves J, De Neve JW, Degenhardt L, Demeke FM, Demis AB, Demissie DB, Demoz GT, Deribe K, Des Jarlais D, Dhungana GP, Diaz D, Djalalinia S, Do HP, Doan LP, Duber H, Dubey M, Dubljanin E, Duken EE, Duko Adema B, Effiong A, Eftekhari A, El Sayed Zaki M, El-Jaafary SI, El-Khatib Z, Elsharkawy A, Endries AY, Eskandarieh S, Eyawo O, Farzadfar F, Fatima B, Fentahun N, Fernandes E, Filip I, Fischer F, Folayan MO, Foroutan M, Fukumoto T, Fullman N, Garcia-Basteiro AL, Gayesa RT, Gebremedhin KB, Gebremeskel GGG, Gebreyohannes KK, Gedefaw GA, Gelaw BK, Gesesew HA, Geta B, Gezae KE, Ghadiri K, Ghashghaee A, Ginindza TTG, Gugnani HC, Guimarães RA, Haile MT, Hailu GB, Haj-Mirzaian A, Haj-Mirzaian A, Hamidi S, Handanagic S, Handiso DW, Hanfore LK, Hasanzadeh A, Hassankhani H, Hassen HY, Hay SI, Henok A, Hoang CL, Hosgood HD, Hosseinzadeh M, Hsairi M, Ibitoye SE, Idrisov B, Ikuta KS, Ilesanmi OS, Irvani SSN, Iwu CJ, Jacobsen KH, James SL, Jenabi E, Jha RP, Jonas JB, Jorjoran Shushtari Z, Kabir A, Kabir Z, Kadel R, Kasaeian A, Kassa B, Kassa GM, Kassa TD, Kayode GA, Kebede MM, Kefale AT, Kengne AP, Khader YS, Khafaie MA, Khalid N, Khan EA, Khan G, Khan J, Khang YH, Khatab K, Khazaei S, Khoja AT, Kiadaliri AA, Kim YJ, Kisa A, Kisa S, Kochhar S, Komaki H, Koul PA, Koyanagi A, Kuate Defo B, Kumar GA, Kumar M, Kuupiel D, Lal DK, Lee JJH, Lenjebo TL, Leshargie CT, Macarayan ERK, Maddison ER, Magdy Abd El Razek H, Magis-Rodriguez C, Mahasha PW, Majdan M, Majeed A, Malekzadeh R, Manafi N, Mapoma CC, Martins-Melo FR, Masaka A, Mayenga ENL, Mehta V, Meles GG, Meles HG, Melese A, Melku M, Memiah PTN, Memish ZA, Mena AT, Mendoza W, Mengistu DT, Mengistu G, Meretoja TJ, Mestrovic T, Miller TR, Moazen B, Mohajer B, Mohamadi-Bolbanabad A, Mohammad KA, Mohammad Y, Mohammad Darwesh A, Mohammad Gholi Mezerji N, Mohammadi M, Mohammadibakhsh R, Mohammadoo-Khorasani M, Mohammed JA, Mohammed S, Mohebi F, Mokdad AH, Moodley Y, Moossavi M, Moradi G, Moradi-Lakeh M, Moschos MM, Mossie TB, Mousavi SM, Muchie KF, Muluneh AG, Muriithi MK, Mustafa G, Muthupandian S, Nagarajan AJ, Naik G, Najafi F, Nazari J, Ndwandwe DE, Nguyen CT, Nguyen HLT, Nguyen SH, Nguyen TH, Ningrum DNA, Nixon MR, Nnaji CA, Noroozi M, Noubiap JJ, Nourollahpour Shiadeh M, Obsa MS, Odame EA, Ofori-Asenso R, Ogbo FA, Okoro A, Oladimeji O, Olagunju AT, Olagunju TO, Olum S, Oppong Asante KOA, Oren E, Otstavnov SS, PA M, Padubidri JR, Pakhale S, Pakpour AH, Patel SK, Paulos K, Pepito VCF, Peprah EK, Piroozi B, Pourshams A, Qorbani M, Rabiee M, Rabiee N, Radfar A, Rafay A, Rafiei A, Rahim F, Rahimi-Movaghar A, Rahimi-Movaghar V, Rahman SU, Ranabhat CL, Rawaf S, Reis C, Renjith V, Reta MA, Rezai MS, Rios González CM, Roro EM, Rostami A, Rubino S, Saeedi Moghaddam S, Safari S, Sagar R, Sahraian MA, Salem MRR, Salimi Y, Salomon JA, Sambala EZ, Samy AM, Sartorius B, Satpathy M, Sawhney M, Sayyah M, Schutte AE, Sepanlou SG, Seyedmousavi S, Shabaninejad H, Shaheen AA, Shaikh MA, Shallo SA, Shamsizadeh M, Sharifi H, Shibuya K, Shin JI, Shirkoohi R, Silva DAS, Silveira DGA, Singh JA, Sisay MMM, Sisay M, Sisay S, Smith AE, Sokhan A, Somayaji R, Soshnikov S, Stein DJ, Sufiyan MB, Sunguya BF, Sykes BL, Tadesse BT, Tadesse DB, Tamirat KS, Taveira N, Tekelemedhin SW, Temesgen HD, Tesfay FH, Teshale MY, Thapa S, Tlaye KG, Topp SM, Tovani-Palone MR, Tran BX, Tran KB, Ullah I, Unnikrishnan B, Uthman OA, Veisani Y, Vladimirov SK, Wada FW, Waheed Y, Weldegwergs KG, Weldesamuel GTT, Westerman R, Wijeratne T, Wolde HF, Wondafrash DZ, Wonde TE, Wondmagegn BY, Yeshanew AG, Yilma MT, Yimer EM, Yonemoto N, Yotebieng M, Youm Y, Yu C, Zaidi Z, Zarghi A, Zenebe ZM, Zewale TA, Ziapour A, Zodpey S, Naghavi M, Vollset SE, Wang H, Lim SS, Kyu HH, Murray CJL. Global, regional, and national incidence, prevalence, and mortality of HIV, 1980-2017, and forecasts to 2030, for 195 countries and territories: a systematic analysis for the Global Burden of Diseases, Injuries, and Risk Factors Study 2017. Lancet HIV 2019; 6:e831-e859. [PMID: 31439534 PMCID: PMC6934077 DOI: 10.1016/s2352-3018(19)30196-1] [Citation(s) in RCA: 286] [Impact Index Per Article: 57.2] [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: 03/29/2019] [Revised: 05/24/2019] [Accepted: 06/10/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND Understanding the patterns of HIV/AIDS epidemics is crucial to tracking and monitoring the progress of prevention and control efforts in countries. We provide a comprehensive assessment of the levels and trends of HIV/AIDS incidence, prevalence, mortality, and coverage of antiretroviral therapy (ART) for 1980-2017 and forecast these estimates to 2030 for 195 countries and territories. METHODS We determined a modelling strategy for each country on the basis of the availability and quality of data. For countries and territories with data from population-based seroprevalence surveys or antenatal care clinics, we estimated prevalence and incidence using an open-source version of the Estimation and Projection Package-a natural history model originally developed by the UNAIDS Reference Group on Estimates, Modelling, and Projections. For countries with cause-specific vital registration data, we corrected data for garbage coding (ie, deaths coded to an intermediate, immediate, or poorly defined cause) and HIV misclassification. We developed a process of cohort incidence bias adjustment to use information on survival and deaths recorded in vital registration to back-calculate HIV incidence. For countries without any representative data on HIV, we produced incidence estimates by pulling information from observed bias in the geographical region. We used a re-coded version of the Spectrum model (a cohort component model that uses rates of disease progression and HIV mortality on and off ART) to produce age-sex-specific incidence, prevalence, and mortality, and treatment coverage results for all countries, and forecast these measures to 2030 using Spectrum with inputs that were extended on the basis of past trends in treatment scale-up and new infections. FINDINGS Global HIV mortality peaked in 2006 with 1·95 million deaths (95% uncertainty interval 1·87-2·04) and has since decreased to 0·95 million deaths (0·91-1·01) in 2017. New cases of HIV globally peaked in 1999 (3·16 million, 2·79-3·67) and since then have gradually decreased to 1·94 million (1·63-2·29) in 2017. These trends, along with ART scale-up, have globally resulted in increased prevalence, with 36·8 million (34·8-39·2) people living with HIV in 2017. Prevalence of HIV was highest in southern sub-Saharan Africa in 2017, and countries in the region had ART coverage ranging from 65·7% in Lesotho to 85·7% in eSwatini. Our forecasts showed that 54 countries will meet the UNAIDS target of 81% ART coverage by 2020 and 12 countries are on track to meet 90% ART coverage by 2030. Forecasted results estimate that few countries will meet the UNAIDS 2020 and 2030 mortality and incidence targets. INTERPRETATION Despite progress in reducing HIV-related mortality over the past decade, slow decreases in incidence, combined with the current context of stagnated funding for related interventions, mean that many countries are not on track to reach the 2020 and 2030 global targets for reduction in incidence and mortality. With a growing population of people living with HIV, it will continue to be a major threat to public health for years to come. The pace of progress needs to be hastened by continuing to expand access to ART and increasing investments in proven HIV prevention initiatives that can be scaled up to have population-level impact. FUNDING Bill & Melinda Gates Foundation, National Institute of Mental Health of the US National Institutes of Health (NIH), and the National Institute on Aging of the NIH.
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Raben D, Sullivan AK, Mocroft A, Kutsyna G, Hadžiosmanović V, Vassilenko A, Chkhartisvili N, Mitsura V, Pedersen C, Anderson J, Begovac J, Bak Dragsted U, Bertisch B, Grzeszczuk A, Minton J, Necsoi VC, Kitchen M, Ajana F, Sokhan A, Comi L, Farazmand P, Pesut D, De Wit S, Gatell JM, Gazzard B, d’Arminio Monforte A, Rockstroh JK, Yazdanpanah Y, Champenois K, Jakobsen ML, Lundgren JD. Improving the evidence for indicator condition guided HIV testing in Europe: Results from the HIDES II Study - 2012 - 2015. PLoS One 2019; 14:e0220108. [PMID: 31408476 PMCID: PMC6692030 DOI: 10.1371/journal.pone.0220108] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [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: 10/26/2018] [Accepted: 07/09/2019] [Indexed: 12/03/2022] Open
Abstract
Background It is cost-effective to perform an HIV test in people with specific indicator conditions (IC) with an undiagnosed HIV prevalence of at least 0.1%. Our aim was to determine the HIV prevalence for 14 different conditions across 20 European countries. Methods Individuals aged 18–65 years presenting for care with one of 14 ICs between January 2012 and June 2014 were included and routinely offered an HIV test. Logistic regression assessed factors associated with testing HIV positive. Patients presenting with infectious mononucleosis-like syndrome (IMS) were recruited up until September 2015. Results Of 10,877 patients presenting with an IC and included in the analysis, 303 tested positive (2.8%; 95% CI 2.5–3.1%). People presenting with an IC in Southern and Eastern Europe were more likely to test HIV positive as were people presenting with IMS, lymphadenopathy and leukocytopenia/ thrombocytopenia. One third of people diagnosed with HIV after presenting with IMS reported a negative HIV test in the preceding 12 months. Of patients newly diagnosed with HIV where data was available, 92.6% were promptly linked to care; of these 10.4% were reported lost to follow up or dead 12 months after diagnosis. Conclusion The study showed that 10 conditions had HIV prevalences > 0.1%. These 10 ICs should be adopted into HIV testing and IC specialty guidelines. As IMS presentation can mimic acute HIV sero-conversion and has the highest positivity rate, this IC in particular affords opportunities for earlier diagnosis and public health benefit.
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Affiliation(s)
- Dorthe Raben
- Centre for Health & Infectious Disease Research, Rigshospitalet, Copenhagen, Denmark
| | - Ann Kathleen Sullivan
- Chelsea and Westminster Hospital, NHS Foundation Trust, London, England, United Kingdom
| | - Amanda Mocroft
- University College London, London, England, United Kingdom
| | | | - Vesna Hadžiosmanović
- Clinical Center University of Sarajevo, Infectious Diseases Clinic, Sarajevo, Bosnia
| | | | | | | | | | - Jane Anderson
- Homerton University Hospital, London, England, United Kingdom
| | - Josip Begovac
- University Hospital of Infectious Diseases, Zagreb, Croatia
| | | | | | | | - Jane Minton
- St James’s University Hospital, Leeds, England, United Kingdom
| | | | | | - Faiza Ajana
- Centre Hospitalier de Tourcoing, Tourcoing, France
| | - Anton Sokhan
- Kharkiv National Medical University, Kharkiv, Ukraine
| | - Laura Comi
- Ospedale di Bergamo, ASST Papa Giovanni XXIII, Bergamo, Italy
| | | | - Dragica Pesut
- University of Belgrade School of Medicine, Clinical Centre of Serbia, Belgrade, Serbia
| | - Stephane De Wit
- Saint-Pierre University Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - José Maria Gatell
- Hospital Clinic de Barcelona/IDIBAPS, University of Barcelona, Barcelona, Spain
| | - Brian Gazzard
- Chelsea and Westminster Hospital, NHS Foundation Trust, London, England, United Kingdom
| | | | | | - Yazdan Yazdanpanah
- Université Paris Diderot, Sorbonne Paris Cité, Paris, France
- Hôpital Bichat, Paris, France
| | | | - Marie Louise Jakobsen
- Centre for Health & Infectious Disease Research, Rigshospitalet, Copenhagen, Denmark
- * E-mail:
| | - Jens Dilling Lundgren
- Centre for Health & Infectious Disease Research, Rigshospitalet, Copenhagen, Denmark
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Yurko K, Kozko V, Solomennik A, Bondar O, Sokhan A, Gavrylov A. THE ROLE OF POLYMORPHISM ASP299GLY OF THE GENE TLR 4 IN PATIENTS CO-INFECTED WITH HIV/HCV. Georgian Med News 2018:138-141. [PMID: 30204113] [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] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
For the first time it was conducted complex research of metabolic disorders in patients co-infected with HIV/HCV and was shown that they are characterized by disturbances of mineral, lipid and carbohydrate metabolism types. It was established significantly higher values of indicators of mineral, lipid and carbohydrate metabolism types in patients co-infected with HIV/HCV compared with patients with chronic hepatitis C and HIV-infected persons. In patients co-infected HIV/HCV appears significantly more frequent the polymorphism Asp299Gly of the gene TLR4 (χ2 = 4,5; p<0,05) when compared with healthy donors, which plays a significant role in the development of metabolic disorders, such correlation is confirmed by those relationships: a strong direct relationship between the polymorphism Asp299Gly of TLR4 gene and the content of insulin (r = 0,66; p<0,001), insulin resistance (r=0,66; p<0,001), the absolute number of CD45+ of T-lymphocytes (r=0 45; p<0,001); a moderate direct relationship with the content of TNF-α (r=0,32; p<0,05), CRP (r=0,34; p<0,05), the absolute number of CD3+ of T-lymphocytes (r=0,34; p<0,05), the content of triglyceride (r=0,39; p<0,02), moderate inverse relationship with the zinc content (r = -0,34; p<0,05 ), the relative number of CD4 +,% (r = -0,32; p<0,05). The system of monitoring of metabolic disorders in patients co-infected with HIV/HCV based on the definition of polymorphism Asp299Gly gene TLR4, the presence of which indicates a high risk of metabolic disturbances (OR=23,3; p<0,05) and requires further investigation, namely the definition of an index of insulin resistance, insulin levels, TNF-α, C-reactive protein, zinc and triglyceride levels in dynamics at intervals of 6 months that allow for timely diagnosis and correction of metabolic disorders.
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Affiliation(s)
- K Yurko
- Kharkiv National Medical University, Department of Infectious Diseases, Ukraine
| | - V Kozko
- Kharkiv National Medical University, Department of Infectious Diseases, Ukraine
| | - A Solomennik
- Kharkiv National Medical University, Department of Infectious Diseases, Ukraine
| | - O Bondar
- Kharkiv National Medical University, Department of Infectious Diseases, Ukraine
| | - A Sokhan
- Kharkiv National Medical University, Department of Infectious Diseases, Ukraine
| | - A Gavrylov
- Kharkiv National Medical University, Department of Infectious Diseases, Ukraine
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Sokhan A, Zots Y, Gavrylov A, Iurko K, Solomennik A, Kuznietsova A. LEVELS OF NEUROSPECIFIC MARKERS IN CEREBROSPINAL FLUID OF ADULT PATIENTS WITH BACTERIAL MENINGITIS. Georgian Med News 2017:65-69. [PMID: 28972486] [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] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
At present, the great attention is given to the neurospecific markers as their elevated level in the cerebrospinal fluid corresponds to the degree of destruction of relevant CNS cells. Therefore, actual direction of the studies of the pathogenesis and diagnosis of CNS diseases is to determine levels of neurospecific markers in the cerebrospinal fluid (CSF). The purpose of the study was to evaluate the diagnostic and prognostic role of NSE, S-100 protein, GFAP and MBP levels in CSF of patients with acute bacterial meningitis. S-100 protein, NSE, GFAP and MBP levels in CSF of patients with acute pneumococcal and meningococcal meningitis were determined during admission and after 10-12 days of treatment. Patients were divided into groups depending on the etiology and severity of the disease. 60 cases of acute bacterial meningitis, as a study group, and 12 cases with acute respiratory infection and meningism, as a control group, were analyzed. It is shown that CSF levels of NSE, S-100 protein, GFAP and MBP on the first day of admission were significantly increased (P<0,05), depending on the severity of the disease. The highest levels of neurospecific markers have been identified in non-survivors (P<0,001). The concentration changes of CSF neurospecific markers are found to be helpful as a diagnostic and prognostic marker in acute bacterial meningitis.
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Affiliation(s)
- A Sokhan
- Kharkiv National Medical University, Department of Infectious Diseases, Ukraine
| | - Y Zots
- Kharkiv National Medical University, Department of Infectious Diseases, Ukraine
| | - A Gavrylov
- Kharkiv National Medical University, Department of Infectious Diseases, Ukraine
| | - K Iurko
- Kharkiv National Medical University, Department of Infectious Diseases, Ukraine
| | - A Solomennik
- Kharkiv National Medical University, Department of Infectious Diseases, Ukraine
| | - A Kuznietsova
- Kharkiv National Medical University, Department of Infectious Diseases, Ukraine
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