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Sun Y, Sun D, Jia B, Huo X, Tong X, Wang A, Ma N, Gao F, Mo D, Miao Z. Hyperdense Middle Cerebral Artery Sign as a Predictor of First-Pass Recanalization and Favorable Outcomes in Direct Thrombectomy Patients. Clin Neuroradiol 2024:10.1007/s00062-024-01484-2. [PMID: 39704829 DOI: 10.1007/s00062-024-01484-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2024] [Accepted: 11/20/2024] [Indexed: 12/21/2024]
Abstract
BACKGROUND The Hyperdense Middle Cerebral Artery Sign (HMCAS) is an early marker of acute MCA occlusion on non-contrast CT (NCCT), which has been linked with stroke type and thrombus composition. AIMS To assess the prognostic value of HMCAS in M1 occlusion patients treated with endovascular thrombectomy and explore its predictive value across different patients. METHODS Patients with M1 occlusion were selected from the ANGEL-ACT registry, which comprised 1793 individuals. Cohorts were divided based on the presence of HMCAS. The primary outcome was functional independence (mRS 0-2) at 90 days. Secondary outcomes included excellent outcome (mRS 0-1), good functional outcome (mRS 0-3), modified first pass effect (mFPE), successful recanalization, intracranial hemorrhage, and 90-day mortality. Propensity score matching (PSM) was employed to adjust for confounders, with 96 patients in each matched group. Subgroup analysis was performed to determine whether the effect of HMCAS on clinical outcomes differed between groups. RESULTS Among 714 acute M1 occlusion patients, 96 (13.4%) had HMCAS. PSM analysis showed that HMCAS was independently associated with mFPE (OR: 1.97, 95% CI: 1.04-3.75, p = 0.038) but had no significant effects on other clinical outcomes. There was a significant association between HMCAS and functional independence for patients who underwent direct thrombectomy but not for patients who underwent bridging therapy (P for interaction = 0.033). CONCLUSION This study indicates that in patients with acute M1 occlusion undergoing EVT, HMCAS on pretreatment NCCT is not significantly associated with functional independence but is linked to a higher first-pass recanalization rate. Its clinical impact on outcomes depends on whether intravenous thrombolysis is administered before thrombectomy.
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Affiliation(s)
- Yiyang Sun
- Interventional Neuroradiology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, 100070, Fengtai District, Beijing, China
| | - Dapeng Sun
- Interventional Neuroradiology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, 100070, Fengtai District, Beijing, China
| | - Baixue Jia
- Interventional Neuroradiology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, 100070, Fengtai District, Beijing, China
| | - Xiaochuan Huo
- Cerebrovascular Disease Department, Neurological Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xu Tong
- Interventional Neuroradiology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, 100070, Fengtai District, Beijing, China
| | - Anxin Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ning Ma
- Interventional Neuroradiology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, 100070, Fengtai District, Beijing, China
| | - Feng Gao
- Interventional Neuroradiology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, 100070, Fengtai District, Beijing, China
| | - Dapeng Mo
- Interventional Neuroradiology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, 100070, Fengtai District, Beijing, China
| | - Zhongrong Miao
- Interventional Neuroradiology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, 100070, Fengtai District, Beijing, China.
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Zhan M, Sun LJ, Zhang YH, Gao JM, Liu JX. Correlation and predictive value of platelet biological indicators and recurrence of large-artery atherosclerosis type of ischemic stroke. Biotechnol Genet Eng Rev 2024; 40:1836-1854. [PMID: 37038758 DOI: 10.1080/02648725.2023.2196879] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 03/24/2023] [Indexed: 04/12/2023]
Abstract
Large-artery atherosclerosis type of ischemic stroke happens when a blood clot forms in a major artery that carries blood to the brain. This causes a blockage and a decrease in blood flow to the brain tissue making up approximately 15-20% of all cases. This type of stroke is more prevalent in older adults and those with risk factors such as high blood pressure, high cholesterol, diabetes, smoking, and a family history of stroke. To investigate the correlation and predictive value of platelet-related biological indicators with recurrence of large-artery atherosclerosis type of ischemic stroke (LAA-IS)2. The patients were divided into a relapse group (R, n = 40) and non-relapse group (NR, n = 45). Platelet-related biological indicators were collected from both groups to analyze their correlation with neurological impairment score (NIHSS score). Risk factors were analyzed using binary logistic regression and a survival curve (ROC) was drawn to evaluate the predictive effect of clinical platelet-related biological indicators on LAA-IS recurrence. This study confirmed that PAg-ADP, PAg-COL, and FIB are closely related to the formation of LAA-IS due to carotid atherosclerosis, and the combined PAg-ADP, PAg-COL, and FIB index levels are the most promising for assessing the prognostic development of recurrence in patients with LAA-IS. Combined monitoring of platelet aggregation rate and FIB index is of important evaluation value in judging the recurrence prognosis of LAA-IS patients.
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Affiliation(s)
- Min Zhan
- Institute of Basic Medicine, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China
- Department of Encephalopathy, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Lin-Juan Sun
- Department of Encephalopathy, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Ye-Hao Zhang
- Institute of Basic Medicine, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - Jia-Ming Gao
- Institute of Basic Medicine, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - Jian-Xun Liu
- Institute of Basic Medicine, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China
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Rautalin I, Krishnamurthi RV, Anderson CS, Barber PA, Barker-Collo S, Bennett D, Boet R, Correia JA, Douwes J, Law A, Nair B, Thrift AG, Ao BT, Tunnage B, Ranta A, Feigin V. Demographic disparities in the incidence and case fatality of subarachnoid haemorrhage: an 18-year nationwide study from New Zealand. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 52:101199. [PMID: 39324121 PMCID: PMC11422095 DOI: 10.1016/j.lanwpc.2024.101199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 08/01/2024] [Accepted: 08/27/2024] [Indexed: 09/27/2024]
Abstract
Background Although the incidence and case-fatality of subarachnoid haemorrhage (SAH) vary within countries, few countries have reported nationwide rates, especially for multi-ethnic populations. We assessed the nationwide incidence and case-fatality of SAH in New Zealand (NZ) and explored variations by sex, district, ethnicity and time. Methods We used administrative health data from the national hospital discharge and cause-of-death collections to identify hospitalised and fatal non-hospitalised aneurysmal SAHs in NZ between 2001 and 2018. For validation, we compared these administrative data to those of two prospective Auckland Regional Community Stroke Studies. We subsequently estimated the incidence and case-fatality of SAH and calculated adjusted rate ratios (RR) with 95% confidence intervals to assess differences between sub-populations. Findings Over 78,187,500 cumulative person-years, we identified 5371 SAHs (95% sensitivity and 85% positive predictive values) resulting in an annual age-standardised nationwide incidence of 8.2/100,000. In total, 2452 (46%) patients died within 30 days after SAH. Compared to European/others, Māori had greater incidence (RR = 2.23 (2.08-2.39)) and case-fatality (RR = 1.14 (1.06-1.22)), whereas SAH incidence was also greater in Pacific peoples (RR = 1.40 (1.24-1.59)) but lesser in Asians (RR = 0.79 (0.71-0.89)). By domicile, age-standardised SAH incidence varied between 6.3-11.5/100,000 person-years and case fatality between 40 and 57%. Between 2001 and 2018, the SAH incidence of NZ decreased by 34% and the case fatality by 12%. Interpretation Since the incidence and case-fatality of SAH varies considerably between regions and ethnic groups, caution is advised when generalising findings from focused geographical locations for public health planning, especially in multi-ethnic populations. Funding NZ Health Research Council.
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Affiliation(s)
- Ilari Rautalin
- The National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
- Department of Neurosurgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Rita V. Krishnamurthi
- The National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
| | - Craig S. Anderson
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Kensington, Australia
- Department of Neurology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - P. Alan Barber
- Department of Medicine, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
- Department of Neurology, Auckland City Hospital, Auckland, New Zealand
| | | | - Derrick Bennett
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ronald Boet
- Surgical Services, St. George's Hospital, Christchurch, New Zealand
| | - Jason A. Correia
- Department of Neurosurgery, Auckland City Hospital, Auckland, New Zealand
- Neurosurgery Research Unit, Centre for Brain Research, Faculty of Medical and Health Sciences, University of Auckland, Grafton, Auckland, New Zealand
| | - Jeroen Douwes
- Research Centre for Hauora and Health, Massey University, Wellington, New Zealand
| | - Andrew Law
- Department of Neurosurgery, Auckland City Hospital, Auckland, New Zealand
| | - Balakrishnan Nair
- The National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
| | - Amanda G. Thrift
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
| | - Braden Te Ao
- Health Systems, School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Bronwyn Tunnage
- The National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
- Department of Paramedicine, Auckland University of Technology, Auckland, New Zealand
| | - Anna Ranta
- Department of Medicine, University of Otago, Wellington, New Zealand
| | - Valery Feigin
- The National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
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Venketasubramanian N. Stroke Demographics, Risk Factors, Subtypes, Syndromes, Mechanisms and Inter-Ethnic Differences between Chinese, Malays and Indians in Singapore-A Hospital-Based Study. J Cardiovasc Dev Dis 2024; 11:180. [PMID: 38921680 PMCID: PMC11203577 DOI: 10.3390/jcdd11060180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 06/06/2024] [Accepted: 06/08/2024] [Indexed: 06/27/2024] Open
Abstract
Disparities in stroke may be due to socioeconomics, demographics, risk factors (RF) and ethnicity. Asian data are scant. This retrospective hospital-based study aimed to explore demographics, RF, stroke subtypes and mechanisms among the Chinese, Malays and Indians in Singapore. Stroke was subtyped into haemorrhagic stroke (HS) and ischaemic stroke (IS). For IS, the clinical syndrome was classified using the Oxfordshire Community Stroke Project (OCSP) classification while the stroke mechanism was categorised using the Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification. During the study period 1 June 2015 to 31 December 2023, data were collected on 1165 patients, with a mean age of 65.6 ± 12.9 yr; 47.4% were female, 83% were Chinese and hypertension (63.5%) and hyperlipidaemia (60.3%) were the most common RF. HS comprised 23.5% (95%CI 21.1-26.1%) (intracerebral 21.7%, subarachnoid 1.3%) of the patients, while IS comprised 76.5% (95%CI 73.9-78.9%) (small artery occlusion 29.0%, cardioembolism 13.3%, large artery atherosclerosis 9.4%, stroke of other determined aetiology 6.2%, stroke of undetermined aetiology 18.6%); 55% of patients had lacunar syndrome. A multivariable analysis showed that HS was associated with ethnicity (p = 0.044), diabetes mellitus (OR 0.27, 95%CI 0.18-0.41, p < 0.001) and smoking (OR 0.47, 95%CI 0.34-0.64, p < 0.001). There were no significant inter-ethnic differences by the OCSP (p = 0.31) or TOAST (p = 0.103) classification. While differences in stroke subtype in Asia may be due to RF, ethnicity has a role. More studies are needed to further explore this.
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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] [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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Belayachi S, Boukhari FZ, Essayagh F, Terkiba O, Marc I, Lambaki A, Zohoun A, Essayagh M, Essayagh T, Essayagh S. Uncontrolled blood pressure and its risk factors among hypertensive patients, Marrakech, Morocco. Sci Rep 2024; 14:2953. [PMID: 38316867 PMCID: PMC10844197 DOI: 10.1038/s41598-024-53115-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 01/28/2024] [Indexed: 02/07/2024] Open
Abstract
Hypertension is a public health problem. Failure to control blood pressure figures is responsible for morbidity and premature mortality. This study aims to describe the characteristics of hypertensive patients followed at primary health care centers in Marrakech. Between May 2021 and December 2022, a cross-sectional study of 922 hypertension patients attending primary health care centers in Marrakech was done. To gather socio-demographic, behavioral, and clinical data, as well as hypertension treatment features and the care-patient-physician triad, a face-to-face questionnaire was employed. To identify risk factors associated with uncontrolled blood pressure, multivariate logistic regression was used. Uncontrolled blood pressure was found in 73.5% of people. The patients' average age was 63.4 ± 9.4 years (mean ± standard deviation), and 524 (77.3%) were women. Tobacco consumption (Adjusted Odd Ratio of 4.34; 95% CI [1.58-11.9]); lack of self-monitoring of hypertension (AOR of 1.69; 95% CI [1.14-2.52]); a family history of hypertension (AOR of 1.58; 95% CI [1.12-2.22]); overweight or obesity (AOR of 1.73; 95% CI [1.15-2.58]); and nonadherence to antihypertensive medication (AOR of 1.58; 95% CI [1.05-2.38]) were identified as risk factors for uncontrolled blood pressure. In hypertensive individuals, the percentage of uncontrolled blood pressure is considerable. It is essential to provide therapeutic education classes for hypertension patients in order to strengthen their power and autonomy in managing their hypertension.
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Affiliation(s)
- Safae Belayachi
- Faculté des Sciences et Techniques, Laboratoire Agroalimentaire et Santé, Hassan First University of Settat, Settat, Morocco
| | - Fatima Zahra Boukhari
- Faculté des Sciences et Techniques, Laboratoire Agroalimentaire et Santé, Hassan First University of Settat, Settat, Morocco
| | - Firdaous Essayagh
- Faculté des Sciences Juridiques, Économiques et Sociales, Laboratoire Droit Privé et Enjeux de Développement, Université Sidi Mohamed Ben Abdellah, Fès, Morocco
| | - Othmane Terkiba
- Institut Supérieur des Sciences de la Santé, Laboratoire Sciences et Technologies de la Santé, Hassan First University of Settat, Settat, Morocco
| | - Ikram Marc
- Institut Supérieur des Sciences de la Santé, Laboratoire Sciences et Technologies de la Santé, Hassan First University of Settat, Settat, Morocco
| | - Abdellah Lambaki
- Faculté des Sciences de la Santé, Université de Lomé, Lomé, Togo.
| | - Alban Zohoun
- Unité d'enseignement et de Recherche en Hématologie, Faculté des Sciences de la Santé, Cotonou, Benin
| | - Meriem Essayagh
- Office National de Sécurité Sanitaire des Produits Alimentaires, Oriental, Morocco
| | - Touria Essayagh
- Institut Supérieur des Sciences de la Santé, Laboratoire Sciences et Technologies de la Santé, Hassan First University of Settat, Settat, Morocco
| | - Sanah Essayagh
- Faculté des Sciences et Techniques, Laboratoire Agroalimentaire et Santé, Hassan First University of Settat, Settat, Morocco
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Vitturi BK, Gagliardi RJ. Effectiveness of statins on outcomes of patients with Embolic Stroke of Undetermined Source (ESUS). J Stroke Cerebrovasc Dis 2024; 33:107469. [PMID: 37944282 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107469] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 11/01/2023] [Accepted: 11/03/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND Statins are highly recommended as a secondary prevention strategy after a stroke. Embolic Stroke of Undetermined Source (ESUS) accounts for up to one fifth of cases of ischemic stroke. There is a lack of studies investigating the effectiveness of statins in this subgroup of patients. METHODS We designed a longitudinal cohort study involving patients properly diagnosed with ESUS. Data about statin therapy included information about the time of initiation of the treatment, pre-stroke statin use, statin withdrawal, and the type and dosage of the statin prescribed. Patients were followed for 48 months after the index stroke. The primary endpoints included stroke recurrence, major cardiovascular events, and death from all causes. The secondary endpoint was the functional outcome, assessed in a standardized and systematic way using the modified Rankin Scale (mRS). RESULTS Patients who were not taking any statin after ESUS have significantly increased odds of stroke recurrence (OR = 3.29, 95% CI 1.27 - 8.55) or presenting the composite outcome of stroke recurrence, major cardiovascular events, and death (OR = 3.70, 95% CI 1.44 - 9.50) in the multivariate analysis. No statin therapy was directly associated with the functional outcome as well (OR = 3.32, 95% CI = 1.58 - 6.96). The early initiation of the statin therapy was estimated to reduce the risk of a second stroke and the composite outcome by 89% and 87%. CONCLUSIONS Our pioneering study provides evidence that patients with ESUS may benefit from statin therapy, especially if prescribed early and at higher dosages.
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Affiliation(s)
- Bruno Kusznir Vitturi
- Department of Health Sciences, University of Genoa, Via A. Pastore 1, 16132 Genova (GE), Italy.
| | - Rubens José Gagliardi
- Department of Neurology, Faculty of Medical Sciences of Santa Casa de São Paulo, Dr. Cesário Motta Júnior Street 112, 01221-020, São Paulo, Brazil
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Henry J, Amoo M, Dablouk MO, Corr P, Nolan D, Coffey D, Javadpour M. Risk factor synergism in aneurysmal subarachnoid hemorrhage: a cross-sectional study. Acta Neurochir (Wien) 2023; 165:3665-3676. [PMID: 37945994 DOI: 10.1007/s00701-023-05852-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 10/17/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND Spontaneous subarachnoid hemorrhage (SAH) accounts for 5-10% of strokes but a disproportionately large amount of stroke-related morbidity. Several risk factors have been described, including smoking, hypertension, increasing age, and female sex. METHODS This cross-sectional study examined all patients with aSAH within a nationally representative catchment from 01/01/2017 to 31/12/2020. Patients with aneurysmal SAH were identified from multiple sources, including a prospective database and death records. The population was estimated from projections from a door-to-door census and risk factors from stratified random sampled surveys conducted on a yearly basis. Poisson regression models were used to estimate the incidence and incidence rate ratios (IRRs) for risk factors with 95% confidence intervals (95% CIs). RESULTS We identified 875 cases of aSAH in 11,666,807 patient-years of follow-up, which corresponded to a crude incidence of 7.5 per 100,000 patient-years (95% CI 7-8) and a standardized incidence of 6.1/100,000 (95% CI 5.6-6.5). Smoking was the strongest individual risk factor, with a standardized incidence of 24/100,000 (95% CI 20-27) in smokers compared with 2.6/100,000 (2.1-3.2) in non-smokers (age-adjusted IRR 9.2, 95% CI 6.3-13.6). Hypertension (age-adjusted IRR 3.1, 95% CI 2.2-4.3) and female sex (age-adjusted IRR 1.8, 95% CI 1.4-2.3) were also associated with increased incidence. The highest incidence was observed in hypertensive smokers (standardized incidence 63/100,000, 95% CI 41-84), who had a lifetime risk of aSAH of 6.7% (95% CI 5.4-8.1) after age 35. Compared with participants who were non-smokers without hypertension, the age-adjusted IRR in hypertensive smokers was 27.9 (95% CI 15.9-48.8). CONCLUSION Smoking is the most prominent individual risk factor for aSAH. Smoking and hypertension appear to interact to increase the risk of aSAH synergistically.
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Affiliation(s)
- Jack Henry
- National Neurosurgical Centre, Beaumont Hospital, Dublin, 9 D09 V2N0, Ireland.
| | - Michael Amoo
- National Neurosurgical Centre, Beaumont Hospital, Dublin, 9 D09 V2N0, Ireland
- Department of Academic Neurology, Trinity College Dublin, Dublin, Ireland
| | - Mohamed O Dablouk
- National Neurosurgical Centre, Beaumont Hospital, Dublin, 9 D09 V2N0, Ireland
| | - Paula Corr
- National Neurosurgical Centre, Beaumont Hospital, Dublin, 9 D09 V2N0, Ireland
| | - Deirdre Nolan
- National Neurosurgical Centre, Beaumont Hospital, Dublin, 9 D09 V2N0, Ireland
| | - Deirdre Coffey
- National Neurosurgical Centre, Beaumont Hospital, Dublin, 9 D09 V2N0, Ireland
| | - Mohsen Javadpour
- National Neurosurgical Centre, Beaumont Hospital, Dublin, 9 D09 V2N0, Ireland.
- Department of Academic Neurology, Trinity College Dublin, Dublin, Ireland.
- Royal College of Surgeons in Ireland, Dublin, Ireland.
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Henry J, Dablouk MO, Kapoor D, Koustais S, Corr P, Nolan D, Coffey D, Thornton J, O'Hare A, Power S, Rawluk D, Javadpour M. Outcomes following poor-grade aneurysmal subarachnoid haemorrhage: a prospective observational study. Acta Neurochir (Wien) 2023; 165:3651-3664. [PMID: 37968366 DOI: 10.1007/s00701-023-05884-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 10/18/2023] [Indexed: 11/17/2023]
Abstract
BACKGROUND Up to 35% of aneurysmal subarachnoid haemorrhage (aSAH) cases may present as poor grade, defined as World Federation of Neurosurgical Societies (WFNS) grades IV and V. In this study, we evaluate functional outcomes and prognostic factors. METHODS This prospective study included all patients referred to a national, centralized neurosurgical service with a diagnosis of poor-grade aSAH between 01/01/2016 and 31/12/2019. Multivariable logistic regression models were used to estimate probability of poor functional outcomes, defined as a Glasgow Outcome Scale (GOS) of 1-3 at 3 months. RESULTS Two hundred fifty-seven patients were referred, of whom 116/257 (45.1%) underwent treatment of an aneurysm, with 97/116 (84%) treated within 48 h of referral. Median age was 62 years (IQR 51-69) with a female predominance (167/257, 65%). Untreated patients tended to be older; 123/141 (87%) had WFNS V, 60/141 (45%) unreactive pupils and 21/141 (16%) circulatory arrest. Of all referred patients, poor outcome occurred in 169/230 (73.5%). Unreactive pupils or circulatory arrest conferred a universally poor prognosis, with mortality in 55/56 (98%) and 19/19 (100%), respectively. The risk of a poor outcome was 14.1% (95% CI 4.5-23.6) higher in WFNS V compared with WFNS IV. Age was important in patients without circulatory arrest or unreactive pupils, with risk of a poor outcome increasing by 1.8% per year (95% CI 1-2.7). In patients undergoing aneurysm securement, 48/101 (47.5%) had a poor outcome, with age, rebleeding, vasospasm and cerebrospinal fluid (CSF) diversion being important prognosticators. The addition of serum markers did not add significant discrimination beyond the clinical presentation. CONCLUSIONS The overall outcomes of WFNS IV and V aSAH remain poor, mainly due to the devastating effects of the original haemorrhage. However, in patients selected for aneurysm securement, good outcomes can be achieved in more than half of patients. Age, pre-intervention rebleeding, vasospasm, and CSF diversion are important prognostic factors.
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Affiliation(s)
- Jack Henry
- National Neurosurgical Centre, Beaumont Hospital, Dublin, Ireland.
- Royal College of Surgeons in Ireland, Dublin, Ireland.
| | - Mohammed O Dablouk
- National Neurosurgical Centre, Beaumont Hospital, Dublin, Ireland
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Dhruv Kapoor
- National Neurosurgical Centre, Beaumont Hospital, Dublin, Ireland
| | - Stavros Koustais
- National Neurosurgical Centre, Beaumont Hospital, Dublin, Ireland
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Paula Corr
- National Neurosurgical Centre, Beaumont Hospital, Dublin, Ireland
| | - Deirdre Nolan
- National Neurosurgical Centre, Beaumont Hospital, Dublin, Ireland
| | - Deirdre Coffey
- National Neurosurgical Centre, Beaumont Hospital, Dublin, Ireland
| | - John Thornton
- Department of Neuroradiology, Beaumont Hospital, Dublin, Ireland
| | - Alan O'Hare
- Department of Neuroradiology, Beaumont Hospital, Dublin, Ireland
| | - Sarah Power
- Department of Neuroradiology, Beaumont Hospital, Dublin, Ireland
| | - Daniel Rawluk
- National Neurosurgical Centre, Beaumont Hospital, Dublin, Ireland
| | - Mohsen Javadpour
- National Neurosurgical Centre, Beaumont Hospital, Dublin, Ireland.
- Royal College of Surgeons in Ireland, Dublin, Ireland.
- Department of Academic Neurology, Trinity College Dublin, Dublin, Ireland.
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Kim SJH, Wood S, Marquina C, Bell JS, Meretoja A, Kilkenny MF, Ilomäki J. Temporal and age-specific trends in incidence and 1-year case-fatality of hospitalized ischaemic stroke in Victoria, Australia. J Stroke Cerebrovasc Dis 2023; 32:107331. [PMID: 37740993 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 07/31/2023] [Accepted: 08/27/2023] [Indexed: 09/25/2023] Open
Abstract
OBJECTIVES Investigate temporal and age-specific trends in the incidence of ischaemic stroke and case-fatality risk in Victoria, Australia. MATERIALS AND METHODS Patients hospitalised with first ischaemic stroke between 2012 and 2018 were included. Trends in age-standardised incidence rates of ischaemic stroke were assessed using linear regression models. Cox proportional hazard regression models were used to examine the case-fatality risk. RESULTS Overall age-standardised incidence of ischaemic stroke was stable from 2012/13 to 2017/18 (87.6 to 84.8 events per 100,000 population; Annual percentage change [APC] -0.32; 95% Confidence interval [CI] -1.13 to 0.50). The incidence declined in females (APC -1.00; 95% CI -1.49 to -0.50), people aged 75-84 years (APC -1.60; 95% CI -2.83 to -0.36) and in metropolitan areas (APC -0.74; 95% CI -1.02 to -0.45). The risk of 1-year case-fatality (HR 0.85; 95% CI 0.78 to 0.93) significantly declined in 2016/17 compared to 2012/13. CONCLUSIONS Overall ischaemic stroke incidence remained stable while decreasing trends were observed in females, elderly and metropolitan areas. 1-year case-fatality declined from 2012 to 2017.
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Affiliation(s)
- Stella Jung-Hyun Kim
- Centre for Medicine Use and Safety, Monash University, Melbourne, Victoria, Australia.
| | - Stephen Wood
- Centre for Medicine Use and Safety, Monash University, Melbourne, Victoria, Australia
| | - Clara Marquina
- Centre for Medicine Use and Safety, Monash University, Melbourne, Victoria, Australia
| | - J Simon Bell
- Centre for Medicine Use and Safety, Monash University, Melbourne, Victoria, Australia
| | - Atte Meretoja
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Monique F Kilkenny
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia; The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Heidelberg, VIC, Australia
| | - Jenni Ilomäki
- Centre for Medicine Use and Safety, Monash University, Melbourne, Victoria, Australia; School of Public Health and Preventive Medicine, Faculty of Medicine Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
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Darshan D, Gange N, Chen D, Bragg A. Stroke epidemiology and incidence in regional Queensland: findings of the Regional Queensland Stroke (REQUEST) study. Intern Med J 2023; 53:1618-1624. [PMID: 36001407 DOI: 10.1111/imj.15917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 08/17/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Stroke rates globally have been declining, but a majority of the studies on strokes have been in urban populations. Regional populations have been understudied, bgeographic health differentials can impact stroke presentations and outcomes. AIM To determine the incidence, risk factors for and survivability of stroke in patients presenting to a large rural stroke referral centre. METHODS Data were collected from one major regional stroke referral centre in Queensland, Australia, over 12 months with follow-up at 3.75 years for survival analysis. Patients were retrospectively enrolled based on a diagnosis made by a stroke physician. ICD-10 codes at separation and postcode of residence were applied for case ascertainment. Trial of ORG10172 in Acute Stroke Treatment (TOAST) classification and the World Health Organization standardised definition of stroke were applied. RESULTS There were 105 strokes in a population of 106 760 persons over 12 months, giving a crude rate of 98 per 100 000 and standardised rate of 52/100 000 per year. Cardioembolism (n = 33, 31.4%) was the most common cause out of all ischaemic strokes (n = 87, 82.9%), followed by large vessel atherosclerosis (n = 26, 24.8%). Hypertension was the most prevalent risk factor in all stroke types, and atrial arrhythmia was the most prevalent factor in cardioembolic strokes. Overall survival at 3.75 years was 61%. CONCLUSIONS Incidence of stroke in a regional Queensland population is similar to other regional populations and when compared with larger cities. Despite a global trend in stroke reduction, modifiable risk factors like hypertension and atrial arrhythmias continue to be over-represented in the stroke population. All-cause mortality after stroke is high, especially during the initial period.
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Affiliation(s)
- Deepak Darshan
- Metro North Hospital and Health Service (MNHHS), Internal Medicine Services, Queensland Health, Brisbane, Queensland, Australia
| | - Nisal Gange
- Geriatric Adult Rehabilitation and Stroke Service (GARSS), Darling Downs Health and Hospital Service (DDHHS), Toowoomba Hospital, Toowoomba, Queensland, Australia
| | - Daniel Chen
- Rural Clinical School, University of Queensland, Toowoomba, Queensland, Australia
| | - Anthony Bragg
- Department of Geriatrics, Northern NSW Local Health District, Lismore, New South Wales, Australia
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12
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Chen X, Li W. Relationship between temporal dynamics of intrinsic brain activity and motor function remodeling in patients with acute BGIS. Front Neurosci 2023; 17:1154018. [PMID: 37469836 PMCID: PMC10353616 DOI: 10.3389/fnins.2023.1154018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 05/24/2023] [Indexed: 07/21/2023] Open
Abstract
Background patients with acute basal ganglia ischemic stroke (BGIS) show changes in local brain activity represented by the amplitude of low-frequency fluctuation (ALFF), but the time-varying characteristics of this local nerve activity are still unclear. This study aimed to investigate the abnormal time-varying local brain activity of patients with acute BGIS by using the ALFF method combined with the sliding-window approach. Methods In this study, 34 patients with acute BGIS with motor dysfunction and 44 healthy controls (HCs) were recruited. The dynamic amplitude of low-frequency fluctuation (dALFF) was employed to detect the alterations in brain activity induced by acute BGIS patients. A two-sample t-test comparison was performed to compare the dALFF value between the two groups and a Spearman correlation analysis was conducted to assess the relationship between the local brain activity abnormalities and clinical characteristics. Results Compared with HCs, the activity of neurons in the left temporal pole (TP), parahippocampal gyrus (paraHIP), middle occipital gyrus (MOG), dorsolateral superior frontal gyrus (SFGdl), medial cingulate cortex (MCC), right rectus, precuneus (PCu) and right cerebellum crus1 were significantly increased in patients with BGIS. In addition, we found that there was a negative correlation (r = -0.458, p = 0.007) between the dALFF value of the right rectus and the scores of the National Institutes of Health Stroke Scale (NIHSS), and a positive correlation (r = 0.488, 0.499, p < 0.05) with the scores of the Barthel Index scale (BI) and the Fugl Meyer motor function assessment (FMA). ROC analysis results demonstrated that the area under the curves (AUC) of the right rectus was 0.880, p<0.001. Conclusion The pattern of intrinsic brain activity variability was altered in patients with acute BGIS compared with HCs. The abnormal dALFF variability might be a potential tool to assess motor function in patients with acute BGIS and potentially inform the diagnosis of this disease.
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Duloquin G, Béjot Y. Nationwide projections of ischemic stroke with large vessel occlusion of the anterior circulation by 2050: Dijon Stroke Registry. Front Public Health 2023; 11:1142134. [PMID: 37304110 PMCID: PMC10248396 DOI: 10.3389/fpubh.2023.1142134] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 05/09/2023] [Indexed: 06/13/2023] Open
Abstract
Introduction Data on the epidemiology of ischemic stroke (IS) with large vessel occlusion (LVO) are scarce although there is a need to better assess future demands for dedicated facilities in an aging population. This study aimed to estimate the number of expected cases of IS with LVO of the anterior circulation in the French population by 2050. Methods IS were retrieved from the population-based registry of Dijon, France (2013-2017). Patients with LVO were identified and age-and sex-standardized incidence rates were calculated to estimate the number of expected cases in the whole French population by 2050 according three scenarios: stable incidence; a decrease in incidence rates of 0.5%/year in people >65 years old; a decrease in incidence rates of 0.5%/year in overall population. Results 1,067 cases of IS with LVO were recorded in Dijon over the study period, corresponding to crude incidence rate of 22/100,000/year (95% CI: 18-25). By 2050, the number of cases is expected to increase by 51 to 81% according to the various scenarios, to reach between 22,457 cases (95% CI: 10,839 - 43,639) and 26,763 cases (95% CI: 12,918 - 52,008) annually. This increase will be mainly driven by patients >80 years old, with a rise of cases between +103% and +42% in this age group. The proportion of patients >80 years old among overall IS with LVO will increase from 43 to 57% approximately. Conclusion The expected massive increase in IS with LVO highlights the need for a rapid action to cover stroke care requirements.
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Banzrai C, Bosookhuu O, Yadamsuren E, Dambasuren B, Turbat S, Erdenedalai T, Myadagsuren M, Munkhtur U, Baatar K, Boldbayar P, Avirmed T, Badrakh B, Ouyang M, Chen X, Wang X, Anderson CS. Incidence and outcomes for stroke in Ulaanbaatar, Mongolia, during 2019-21: a prospective population-based study. Lancet Glob Health 2023; 11:e942-e952. [PMID: 37119831 DOI: 10.1016/s2214-109x(23)00130-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 02/17/2023] [Accepted: 03/01/2023] [Indexed: 05/01/2023]
Abstract
BACKGROUND In the absence of reliable data to quantify the burden of stroke, we aimed to determine the incidence and outcome of stroke through the conduct of a prospective population-based study in Ulaanbaatar, Mongolia, during 2019-21. METHODS All cases of stroke were identified through surveillance of multiple overlapping sources of hospitalised, ambulatory, and deceased individuals, using standardised diagnostic criteria in adult (aged ≥16 years) residents of the six urban districts of Ulaanbaatar, Mongolia (population person-years, N=1 896 965) between Jan 1, 2019, and Dec 31, 2020. Data on sociodemography, medical history, and management were collected. Crude and standardised incidence were calculated for first-ever stroke and its major pathological subtypes, and reported with 95% CIs. Outcomes were 28-day case fatality ratios and functional recovery on the modified Rankin scale at 90 days and 1 year. FINDINGS 3803 strokes in 3738 patients were identified, of which 2962 were first-ever incident cases (mean age 59 years [SD 13], 1161 [39·2%] females). Annual incidence of first-ever stroke (per 100 000) was 156·1 (95% CI 150·5-161·8) on a crude basis, 171·6 (157·5-185·6) when age-adjusted to the Mongolian population, and 140·3 (136·7-143·9) when age-adjusted to the world population. World-adjusted incidence of pathological subtypes were 66·6 (95% CI 64·8-68·3) for ischaemic stroke, 54·5 (53·0-56·1) for intracerebral haemorrhage, and 18·7 (18·3-19·1) for subarachnoid haemorrhage. Men were twice as likely to suffer ischaemic stroke and intracerebral haemorrhage as women, but the risks were similar for subarachnoid haemorrhage; these patterns were consistent across age-groups. The predominant risk factors were hypertension seen in 1363 (63·1%) of 2161, smoking in 596 (26·8%) of 2220, regular alcohol consumption in 533 (24·0%) of 2220, obesity in 342 (16·1%) of 2125, and diabetes in 282 (12·7%) of 2220. There was little use (0·9%) of thrombolysis for acute ischaemic stroke, partly due to delays in presentation after the onset of symptoms (median 16·0 h [IQR 3·0-48·0]). The 28-day case-fatality rate was 36·1% (95% CI 34·3-37·9) overall, and 14·8% (12·8-16·7) for ischaemic stroke, 52·9% (49·9-55·8) for intracerebral haemorrhage, and 54·3% (49·4-59·1) for subarachnoid haemorrhage. Corresponding figures for poor functional outcome at 1-year, defined by scores of 3-6 for death or dependency on the mRS, were 61·6% (95% CI 59·8-63·4), 47·5% (44·7-50·3), 77·0% (74·5-79·5), and 61·8% (57·0-66·5), respectively. INTERPRETATION The urban population of Ulaanbaatar, Mongolia, has a high incidence of stroke, particularly for intracerebral haemorrhage and subarachnoid haemorrhage, from which half of patients die within 1 month and more than two-thirds are either dead or dependent at 90 days. Although the overall incidence of stroke is similar to other countries, it occurs at a mean age of 60 years, which is at least 10 years younger than in high-income countries. These epidemiological data can inform the implementation of future programmes and scale-up activities for the primary and secondary prevention of stroke, and in the organisation of systems of care. FUNDING Science and Technology Foundation of the Ministry of Education, Culture, and Science of Mongolia and The George Institute for Global Health.
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Affiliation(s)
- Chimeglkham Banzrai
- Department of Neurology, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia; Department of Neurology, Ach Medical University, Ulaanbaatar, Mongolia
| | - Oyungerel Bosookhuu
- Department of Neurology, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia; Department of Neurology, Ach Medical University, Ulaanbaatar, Mongolia
| | - Erdenechimeg Yadamsuren
- Department of Neurology, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Bolormaa Dambasuren
- Department of Neurology, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Sarantsetseg Turbat
- Department of Neurology, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Tuguldur Erdenedalai
- Department of Neurology, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Mandakhnar Myadagsuren
- Department of Neurology, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Uuriintuya Munkhtur
- Department of Neurology, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Khandsuren Baatar
- Department of Neurology, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Punsaldulam Boldbayar
- Department of Neurology, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Tovuudorj Avirmed
- School of Medicine, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Burmaajav Badrakh
- Department of Neurology, Ach Medical University, Ulaanbaatar, Mongolia
| | - Menglu Ouyang
- The George Institute for Global Health, University of New South Wales, Sydney NSW, Australia
| | - Xiaoying Chen
- The George Institute for Global Health, University of New South Wales, Sydney NSW, Australia
| | - Xia Wang
- The George Institute for Global Health, University of New South Wales, Sydney NSW, Australia
| | - Craig S Anderson
- The George Institute for Global Health, University of New South Wales, Sydney NSW, Australia; The George Institute for Global Health, Beijing, China.
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Kõrv L, Vibo R, Kõrv J. Declining first-ever stroke incidence rates in 15- to 54-year-old residents of Tartu, Estonia, from 1991 to 2017. Int J Stroke 2023; 18:462-468. [PMID: 36053147 DOI: 10.1177/17474930221125345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Having a stroke at a young age has a huge socioeconomic impact. Data on the trends of stroke incidence in young adults from prospective population-based studies are scarce. AIMS The aim of this study was to analyze the trends in stroke incidence in 15- to 54-year-old residents of Tartu, Estonia from 1991 to 2017. METHODS Three population-based studies with identical study protocols determining the incidence of first-ever stroke have previously been conducted in Tartu, Estonia (1991-1993, 2001-2003, and 2013-2017). All residents of Tartu with first-ever stroke (ischemic stroke, spontaneous intracerebral hemorrhage, and subarachnoid hemorrhage) who were hospitalized to the Department of Neurology, Tartu University Hospital in respective study periods were included prospectively. Overlapping data sources for case ascertainment were used to include both hospitalized and non-hospitalized cases. Trends in first-ever stroke incidence in 15- to 54-year-old residents of Tartu were calculated and compared using rate ratio (RR). RESULTS Altogether 259 strokes were identified. From 1991 to 2017, the proportion of women increased from 38.3% to 43.6%. Mean age at onset in women decreased from 46.9 (standard deviation (SD): 7.3) to 42.6 (SD: 8.9). Overall crude incidence rates per 100,000 decreased significantly from 1991 to 2003 (from 57.2 (95% confidence interval (CI): 46.9-69.1) to 35.7 (95% CI: 25.7-48.3)); RR: 0.62 (95% CI: 0.44-0.89). While also present in women, the decrease was most notable in 45- to 54-year-old men (RR: 0.55 (95% CI: 0.30-0.99)). In 35- to 44-year-old men, the incidence rates decreased significantly from 2001 to 2017 (RR: 0.37 (95% CI: 0.14-0.99)). CONCLUSION The overall first-ever stroke incidence rates decreased from 1991 to 2003 and remained stable thereafter.
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Affiliation(s)
- Liisa Kõrv
- Department of Neurology and Neurosurgery, Faculty of Medicine, University of Tartu, Tartu, Estonia
| | - Riina Vibo
- Department of Neurology and Neurosurgery, Faculty of Medicine, University of Tartu, Tartu, Estonia
| | - Janika Kõrv
- Department of Neurology and Neurosurgery, Faculty of Medicine, University of Tartu, Tartu, Estonia
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Teh R, Kerse N, Pillai A, Lumley T, Rolleston A, Kyaw TA, Connolly M, Broad J, Monteiro E, Clair VWS, Doughty RN. Atrial fibrillation incidence and outcomes in two cohorts of octogenarians: LiLACS NZ. BMC Geriatr 2023; 23:197. [PMID: 36997900 PMCID: PMC10064671 DOI: 10.1186/s12877-023-03902-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Accepted: 03/17/2023] [Indexed: 04/01/2023] Open
Abstract
BACKGROUND Atrial fibrillation (AF), the most common cardiac arrhythmia in the general population, has significant healthcare burden. Little is known about AF in octogenarians. OBJECTIVE To describe the prevalence and incidence rate of AF in New Zealand (NZ) octogenarians and the risk of stroke and mortality at 5-year follow-up. DESIGN Longitudinal Cohort Study. SETTING Bay of Plenty and Lakes health regions of New Zealand. SUBJECTS Eight-hundred-seventy-seven (379 indigenous Māori, 498 non-Māori) were included in the analysis. METHODS AF, stroke/TIA events and relevant co-variates were established annually using self-report and hospital records (and ECG for AF). Cox proportional-hazards regression models were used to determine the time dependent AF risk of stroke/TIA. RESULTS AF was present in 21% at baseline (Māori 26%, non-Māori 18%), the prevalence doubled over 5-years (Māori 50%, non-Māori 33%). 5-year AF incidence was 82.6 /1000-person years and at all times AF incidence for Māori was twice that of non-Māori. Five-year stroke/TIA prevalence was 23% (22% in Māori and 24% non- Māori), higher in those with AF than without. AF was not independently associated with 5-year new stroke/TIA; baseline systolic blood pressure was. Mortality was higher for Māori, men, those with AF and CHF and statin use was protective. In summary, AF is more prevalent in indigenous octogenarians and should have an increased focus in health care management. Further research could examine treatment in more detail to facilitate ethnic specific impact and risks and benefits of treating AF in octogenarians.
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Grants
- 06/068B, 09/068B Health Research Council of New Zealand
- 06/068B, 09/068B Health Research Council of New Zealand
- 06/068B, 09/068B Health Research Council of New Zealand
- 06/068B, 09/068B Health Research Council of New Zealand
- 06/068B, 09/068B Health Research Council of New Zealand
- 06/068B, 09/068B Health Research Council of New Zealand
- 06/068B, 09/068B Health Research Council of New Zealand
- 06/068B, 09/068B Health Research Council of New Zealand
- 06/068B, 09/068B Health Research Council of New Zealand
- 06/068B, 09/068B Health Research Council of New Zealand
- 345426/00 Ministry of Health, New Zealand
- 345426/00 Ministry of Health, New Zealand
- 345426/00 Ministry of Health, New Zealand
- 345426/00 Ministry of Health, New Zealand
- 345426/00 Ministry of Health, New Zealand
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Affiliation(s)
- Ruth Teh
- Department of General Practice and Primary Health Care, Faculty of Medical and Health Sciences, University of Auckland, PO Box 92019, Auckland, New Zealand.
| | - Ngaire Kerse
- Department of General Practice and Primary Health Care, Faculty of Medical and Health Sciences, University of Auckland, PO Box 92019, Auckland, New Zealand
| | - Avinesh Pillai
- Department of Statistics, Faculty of Science, University of Auckland, Auckland, New Zealand
| | - Thomas Lumley
- Department of Statistics, Faculty of Science, University of Auckland, Auckland, New Zealand
| | - Anna Rolleston
- Manawa Ora, The Centre for Health, Tauranga, New Zealand
| | - Tin Aung Kyaw
- Department of General Practice and Primary Health Care, Faculty of Medical and Health Sciences, University of Auckland, PO Box 92019, Auckland, New Zealand
| | - Martin Connolly
- Department of Geriatric Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Joanna Broad
- Department of Geriatric Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Elaine Monteiro
- Department of General Practice and Primary Health Care, Faculty of Medical and Health Sciences, University of Auckland, PO Box 92019, Auckland, New Zealand
| | - Valerie Wright-St Clair
- Centre for Active Ageing, Auckland University of Technology New Zealand, Auckland, New Zealand
| | - Robert N Doughty
- Department of Medicine, University of Auckland and Greenlane Cardiovascular Service, Auckland District Health Board, Auckland, New Zealand
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17
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Del Monte A, Rivezzi F, Giacomin E, Peruzza F, Del Greco M, Maines M, Migliore F, Zorzi A, Viaro F, Pieroni A, La Licata A, Baracchini C, Bertaglia E. Multiparametric identification of subclinical atrial fibrillation after an embolic stroke of undetermined source. Neurol Sci 2023; 44:979-988. [PMID: 36383264 DOI: 10.1007/s10072-022-06501-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 11/04/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND Subclinical atrial fibrillation (SCAF) may represent a cause of embolic stroke of undetermined source (ESUS) and its detection has important implications for secondary prevention with anticoagulation. Indications to implantable cardiac monitors (ICM) include SCAF detection. The aims of this study were to (1) evaluate the frequency of ICM-detected SCAF; (2) determine predictors of SCAF; and (3) identify patients who would benefit most from ICM implantation. METHODS Between February 2017 and November 2020, all consecutive patients referred for ICM implantation after a diagnosis of ESUS and without previous history of atrial fibrillation or atrial flutter were included in this study. SCAF was diagnosed if the ICM electrogram demonstrated an episode of irregularly irregular rhythm without distinct P waves lasting > 2 min. RESULTS We enrolled 109 patients (age 66, SD = 13 years; 36% females). During a median follow-up of 19.2 (IQR 11.0-27.5) months, SCAF episodes were detected in 36 (33%) patients. Only abnormal P wave terminal force in lead V1, left atrial end-systolic indexed volume > 34 ml/m2, and BMI > 25 kg/m2 were independently associated with an increased risk of SCAF (HR 2.44, 95% CI 1.14-5.21, p = 0.021; HR 2.39, 95% CI 1.11-5.13, p = 0.026; and HR 2.64, 95% CI 1.06-6.49, p = 0.036 respectively). The ROC curve showed that the presence of all three parameters had the best accuracy (74%) to predict SCAF detection (sensitivity 39%, specificity 91%). CONCLUSION A multiparametric evaluation has the best accuracy to predict SCAF in ESUS patients and may help identifying those who would benefit most from ICM.
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Affiliation(s)
- Alvise Del Monte
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Forcellini, 209/d, Padua, Italy
| | - Francesco Rivezzi
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Forcellini, 209/d, Padua, Italy
| | - Enrico Giacomin
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Forcellini, 209/d, Padua, Italy
| | - Francesco Peruzza
- Department of Cardiology, Santa Maria del Carmine Hospital, Rovereto, Italy
| | - Maurizio Del Greco
- Department of Cardiology, Santa Maria del Carmine Hospital, Rovereto, Italy
| | | | - Federico Migliore
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Forcellini, 209/d, Padua, Italy
| | - Alessandro Zorzi
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Forcellini, 209/d, Padua, Italy
| | - Federica Viaro
- Stroke Unit and Neurosonology Laboratory, Padua University Hospital, Padua, Italy
| | - Alessio Pieroni
- Stroke Unit and Neurosonology Laboratory, Padua University Hospital, Padua, Italy
| | - Andrea La Licata
- Department of Neurology, Santa Maria del Carmine Hospital, Rovereto, Italy
| | - Claudio Baracchini
- Stroke Unit and Neurosonology Laboratory, Padua University Hospital, Padua, Italy
| | - Emanuele Bertaglia
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Forcellini, 209/d, Padua, Italy.
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18
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Zhang X, Wang Y, Dong B, Jiang Y, Liu D, Xie K, Yu Y. Expression pattern and clinical value of Key RNA methylation modification regulators in ischemic stroke. Front Genet 2022; 13:1009145. [PMID: 36263422 PMCID: PMC9574037 DOI: 10.3389/fgene.2022.1009145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 09/16/2022] [Indexed: 11/13/2022] Open
Abstract
Ischemic stroke (IS) is one of the major causes of death and disability worldwide, and effective diagnosis and treatment methods are lacking. RNA methylation, a common epigenetic modification, plays an important role in disease progression. However, little is known about the role of RNA methylation modification in the regulation of IS. The aim of this study was to investigate RNA methylation modification patterns and immune infiltration characteristics in IS through bioinformatics analysis. We downloaded gene expression profiles of control and IS model rat brain tissues from the Gene Expression Omnibus database. IS profiles were divided into two subtypes based on RNA methylation regulators, and functional enrichment analyses were conducted to determine the differentially expressed genes (DEGs) between the subtypes. Weighted gene co-expression network analysis was used to explore co-expression modules and genes based on DEGs. The IS clinical diagnosis model was successfully constructed and four IS characteristic genes (GFAP, GPNMB, FKBP9, and CHMP5) were identified, which were significantly upregulated in IS samples. Characteristic genes were verified by receiver operating characteristic curve and real-time quantitative PCR analyses. The correlation between characteristic genes and infiltrating immune cells was determined by correlation analysis. Furthermore, GPNMB was screened using the protein-protein interaction network, and its regulatory network and the potential therapeutic drug chloroquine were predicted. Our finding describes the expression pattern and clinical value of key RNA methylation modification regulators in IS and novel diagnostic and therapeutic targets of IS from a new perspective.
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Affiliation(s)
- Xinyue Zhang
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Institute of Anesthesiology, Tianjin, China
| | - Yuanlin Wang
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Institute of Anesthesiology, Tianjin, China
| | - Beibei Dong
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Institute of Anesthesiology, Tianjin, China
| | - Yi Jiang
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Institute of Anesthesiology, Tianjin, China
| | - Dan Liu
- School of Medicine, Nankai University, Tianjin, China
| | - Keliang Xie
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Institute of Anesthesiology, Tianjin, China
- Department of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Yonghao Yu
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Institute of Anesthesiology, Tianjin, China
- *Correspondence: Yonghao Yu,
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19
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Scott CA, Li L, Rothwell PM. Diverging Temporal Trends in Stroke Incidence in Younger vs Older People: A Systematic Review and Meta-analysis. JAMA Neurol 2022; 79:1036-1048. [PMID: 35943738 PMCID: PMC9364236 DOI: 10.1001/jamaneurol.2022.1520] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 04/15/2022] [Indexed: 12/25/2022]
Abstract
Importance Overall stroke incidence is falling in high-income countries, but data on time trends in incidence of young stroke (ie, stroke in individuals younger than 55 years) are conflicting. An age-specific divergence in incidence, with less favorable trends at younger vs older ages, might be a more consistent underlying finding across studies. Objective To compare temporal trends in incidence of stroke at younger vs older ages in high-income countries. Data Sources PubMed and EMBASE were searched from inception to February 2022. One additional population-based study (Oxford Vascular Study) was also included. Study Selection Studies reporting age-specific stroke incidence in high-income countries at more than 1 time point. Data Extraction and Synthesis For all retrieved studies, 2 authors independently reviewed the full text against the inclusion criteria to establish their eligibility. Meta-analysis was performed with the inverse variance-weighted random-effects model. Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline was followed. Main Outcomes and Measures The main outcome was age-specific divergence (<55 vs ≥55 years) in temporal trends in stroke incidence (relative temporal rate ratio [RTTR]) in studies extending to at least 2000. RTTRs were calculated for each study and pooled by random-effects meta-analysis, with stratification by administrative vs prospective population-based methodology, sex, stroke subtype (ischemic vs intracerebral hemorrhage vs subarachnoid hemorrhage) and geographical region. Results Among 50 studies in 20 countries, 26 (13 prospective population-based and 13 administrative studies) reported data allowing calculation of the RTTR for stroke incidence at younger vs older ages across 2 or more periods, the latest extending beyond 2000. Reported trends in absolute incidence of young individuals with stroke were heterogeneous, but all studies showed a less favorable trend in incidence at younger vs older ages (pooled RTTR = 1.57 [95% CI, 1.42-1.74]). The overall RTTR was consistent by stroke subtype (ischemic, 1.62 [95% CI, 1.44-1.83]; intracerebral hemorrhage, 1.32 [95% CI, 0.91-1.92]; subarachnoid hemorrhage, 1.54 [95% CI, 1.00-2.35]); and by sex (men, 1.46 [95% CI, 1.34-1.60]; women, 1.41 [95% CI, 1.28-1.55]) but was greater in studies reporting trends solely after 2000 (1.51 [95% CI, 1.30-1.70]) vs solely before (1.18 [95% CI, 1.12-1.24]) and was highest in population-based studies in which the most recent reported period of ascertainment started after 2010 (1.87 [95% CI, 1.55-2.27]). Conclusions and Relevance Temporal trends in stroke incidence are diverging by age in high-income countries, with less favorable trends at younger vs older ages, highlighting the urgent need to better understand etiology and prevention of stroke at younger ages.
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Affiliation(s)
- Catherine A. Scott
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, United Kingdom
| | - Linxin Li
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, United Kingdom
| | - Peter M. Rothwell
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, United Kingdom
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20
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Li Q, Hu S, Mo Y, Chen H, Meng C, Zhan L, Li M, Quan X, Gao Y, Cheng L, Hao Z, Jia X, Liang Z. Regional homogeneity alterations in multifrequency bands in patients with basal ganglia stroke: A resting-state functional magnetic resonance imaging study. Front Aging Neurosci 2022; 14:938646. [PMID: 36034147 PMCID: PMC9403766 DOI: 10.3389/fnagi.2022.938646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 07/22/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveThe aim of this study was to investigate the spontaneous regional neural activity abnormalities in patients with acute basal ganglia ischemic stroke (BGIS) using a multifrequency bands regional homogeneity (ReHo) method and to explore whether the alteration of ReHo values was associated with clinical characteristics.MethodsIn this study, 34 patients with acute BGIS and 44 healthy controls (HCs) were recruited. All participants were examined by resting-state functional magnetic resonance imaging (rs-fMRI). The ReHo method was used to detect the alterations of spontaneous neural activities in patients with acute BGIS. A two-sample t-test comparison was performed to compare the ReHo value between the two groups, and a Pearson correlation analysis was conducted to assess the relationship between the regional neural activity abnormalities and clinical characteristics.ResultsCompared with the HCs, the patients with acute BGIS showed increased ReHo in the left caudate and subregions such as the right caudate and left putamen in conventional frequency bands. In the slow-5 frequency band, patients with BGIS showed decreased ReHo in the left medial cingulum of BGIS compared to the HCs and other subregions such as bilateral caudate and left putamen. No brain regions with ReHo alterations were found in the slow-4 frequency band. Moreover, we found that the ReHo value of left caudate was positively correlated with the NIHSS score.ConclusionOur findings revealed the alterations of ReHo in patients with acute BGIS in a specific frequency band and provided a new insight into the pathogenesis mechanism of BGIS. This study demonstrated the frequency-specific characteristics of ReHo in patients with acute BGIS, which may have a positive effect on the future neuroimaging studies.
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Affiliation(s)
- Qianqian Li
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Su Hu
- School of Teacher Education, Zhejiang Normal University, Jinhua, China
| | - Yingmin Mo
- The Cadre Ward in Department of Neurology, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Hao Chen
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Chaoguo Meng
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Linlin Zhan
- Faculty of Western Languages, Heilongjiang University, Harbin, China
| | - Mengting Li
- School of Teacher Education, Zhejiang Normal University, Jinhua, China
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Xuemei Quan
- Department of Neurology, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Yanyan Gao
- School of Teacher Education, Zhejiang Normal University, Jinhua, China
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Lulu Cheng
- School of Foreign Studies, China University of Petroleum (East China), Qingdao, China
- Shanghai Center for Research in English Language Education, Shanghai International Studies University, Shanghai, China
| | - Zeqi Hao
- School of Teacher Education, Zhejiang Normal University, Jinhua, China
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Xize Jia
- School of Teacher Education, Zhejiang Normal University, Jinhua, China
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Zhijian Liang
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
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21
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Kortelainen S, Curtze S, Martinez‐Majander N, Raj R, Skrifvars MB. Acute ischemic stroke in a university hospital intensive care unit: 1-year costs and outcome. Acta Anaesthesiol Scand 2022; 66:516-525. [PMID: 35118640 PMCID: PMC9304289 DOI: 10.1111/aas.14037] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 11/05/2021] [Accepted: 01/08/2022] [Indexed: 11/29/2022]
Abstract
Background and purpose Little is currently known about the cost‐effectiveness of intensive care of acute ischemic stroke (AIS). We evaluated 1‐year costs and outcome for patients with AIS treated in the intensive care unit (ICU). Materials and methods A single‐center retrospective study of patients admitted to an academic ICU with AIS between 2003 and 2013. True healthcare expenditure was obtained up to 1 year after admission and adjusted to consumer price index of 2019. Patient outcome was 12‐month functional outcome and mortality. We used multivariate logistic regression analysis to identify independent predictors of favorable outcomes and linear regression analysis to assess factors associated with costs. We calculated the effective cost per survivor (ECPS) and effective cost per favorable outcome (ECPFO). Results The study population comprised 154 patients. Reasons for ICU admission were: decreased consciousness level (47%) and need for respiratory support (40%). There were 68 (44%) 1 year survivors, of which 27 (18%) had a favorable outcome. High age (odds ratio [OR] 0.95, 95% confidence interval [CI] 0.91–0.98) and high hospital admission National Institutes of Health Stroke Scale score (OR 0.92, 95% CI 0.87–0.97) were independent predictors of poor outcomes. Increased age had a cost ratio of 0.98 (95% CI 0.97–0.99) per added year. The ECPS and ECPFO were 115,628€ and 291,210€, respectively. Conclusions Treatment of AIS in the ICU is resource‐intense, and in an era predating mechanical thrombectomy the outcome is often poor, suggesting a need for further research into cost‐efficacy of ICU care for AIS patients.
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Affiliation(s)
- Simon Kortelainen
- Department of Emergency Care and Services University of Helsinki and Helsinki University Hospital Helsinki Finland
| | - Sami Curtze
- Department of Neurology University of Helsinki and Helsinki University Hospital Helsinki Finland
| | | | - Rahul Raj
- Department of Neurosurgery University of Helsinki and Helsinki University Hospital Helsinki Finland
| | - Markus B. Skrifvars
- Department of Emergency Care and Services University of Helsinki and Helsinki University Hospital Helsinki Finland
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22
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Frequency-Specific Changes of Amplitude of Low-Frequency Fluctuations in Patients with Acute Basal Ganglia Ischemic Stroke. Neural Plast 2022; 2022:4106131. [PMID: 35111218 PMCID: PMC8803449 DOI: 10.1155/2022/4106131] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 12/18/2021] [Accepted: 01/10/2022] [Indexed: 11/18/2022] Open
Abstract
Objective. The purpose of this study was to investigate the characteristics of different frequency bands in the spontaneous brain activity among patients with acute basal ganglia ischemic stroke (BGIS). Methods. In the present study, thirty-four patients with acute BGIS and forty-four healthy controls were examined by resting-state functional magnetic resonance imaging (rs-fMRI) from May 2019 to December 2020. Two amplitude methods including amplitude of low-frequency fluctuations (ALFF) and fractional ALFF (fALFF) calculated in three frequency bands (conventional frequency band: 0.01-0.08 Hz; slow-5 frequency band: 0.01-0.027 Hz; and slow-4 frequency band: 0.027-0.073 Hz) were conducted to evaluate the spontaneous brain activity in patients with acute BGIS and healthy controls (HCs). Gaussian Random Field Theory (GRF, voxel
and cluster
) correction was applied. The correlation analyses were performed between clinical scores and altered metrics values. Results. Compared to HCs, patients with acute BGIS showed decreased ALFF in the right supramarginal gyrus (SMG) in the conventional and slow-4 bands, increased fALFF in the right middle frontal gyrus (MFG) in the conventional and slow-4 bands, and increased fALFF in the bilateral caudate in the slow-5 frequency band. The fALFF value of the right caudate in the slow-5 frequency band was negatively correlated with the clinical scores. Conclusion. In conclusion, this study showed the alterations in ALFF and fALFF in three frequency bands between patients with acute BGIS and HCs. The results reflected that the abnormal LFO amplitude might be related with different frequency bands and promoted our understanding of pathophysiological mechanism in acute BGIS.
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23
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Choudhari OK, Rani A, Kampani G, Kaur C, Sengupta A. Matrix Metalloproteinase-9 Gene Polymorphism and Its Methylation in Stroke Patients. Malays J Med Sci 2022; 28:32-41. [PMID: 35002488 PMCID: PMC8715877 DOI: 10.21315/mjms2021.28.6.4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 07/09/2021] [Indexed: 11/04/2022] Open
Abstract
Background Genetic and environmental factors, along with hypertension, diabetes mellitus and smoking cause accelerated atherosclerosis and, eventually, stroke. Matrix metalloproteinase-9 (MMP-9) are inflammatory mediators of the endoproteinase family, and their polymorphism and methylation are associated with the development of atherosclerosis and stroke. This study explores this association in the Indian population. Objective To study the association of MMP gene polymorphism and methylation with the risk of stroke. Methods A case-control study was conducted on 100 admitted patients (both genders) diagnosed with ischaemic stroke. Another 100 healthy subjects, not suffering from any chronic illness or stroke, were taken as controls. All participants were genotyped for rs3918242 (MMP-9) by polymerase chain reaction (PCR) and restriction fragment length polymorphism. Methylation of the MMP-9 gene-promoter region was assessed by methylation-specific PCR. Results The case (mean age = 61.3 ± 7.36 years old) and control (mean age = 60.68 ± 7.1 years old) groups were age-matched. Among cases, 61 patients were smokers, 55 were diabetic and 53 were hypertensive. A significant risk of ischaemic stroke was associated with the CT genotype (adjusted odds ratio [aOR] = 7.09; P < 0.001), TT genotype (aOR = 19.75; P < 0.001) and T allele (aOR = 10.71; P < 0.001). MMP-9 methylation decreased the risk of stroke (aOR = 0.23; P < 0.001). Conclusion MMP-9 gene-1562C/T polymorphism (SNP rs3918242) (single-nucleotide polymorphism [SNP] rs3918242) is a potential marker to predict ischaemic stroke and constitutes a significant proportion of the general population. Its polymorphism predisposes to ischaemic stroke, while its methylation is protective.
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Affiliation(s)
| | - Anita Rani
- Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India
| | - Geeta Kampani
- Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India
| | - Charanjeet Kaur
- Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India
| | - Ananya Sengupta
- Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India
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24
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Sarfo FS, Ovbiagele B, Akpa O, Akpalu A, Wahab K, Obiako R, Komolafe M, Owolabi L, Ogbole G, Calys-Tagoe B, Fakunle A, Sanni T, Mulugeta G, Abdul S, Akintunde AA, Olowookere S, Uvere EO, Ibinaiye P, Akinyemi J, Uwanuruochi K, Olayemi B, Odunlami OA, Abunimye E, Arulogun O, Isah SY, Abubakar SA, Oladimeji A, Adebayo P, Shidali V, Chukwuonye II, Akpalu J, Tito-Ilori MM, Asowata OJ, Sanya EO, Amusa G, Onyeonoro U, Ogunmodede JA, Sule AG, Akisanya C, Mensah Y, Oyinloye OI, Appiah L, Agunloye AM, Osaigbovo GO, Olabinri E, Kolo PM, Okeke O, Adeoye AM, Ajose O, Jenkins C, Lackland DT, Egberongbe AA, Adeniji O, Ohifemen Adeleye O, Tiwari HK, Arnett D, Laryea RY, Olunuga T, Akinwande KS, Imoh L, Ogah OS, Melikam ES, Adebolaji A, Oguike W, Ogunronbi M, Adeniyi W, Olugbo OY, Bello AH, Ohagwu KA, Ogunjimi L, Agyekum F, Iheonye H, Adesina J, Diala S, Dambatta HA, Ikubor J, Singh A, Adamu S, Obese V, Adusei N, Owusu D, Ampofo M, Tagge R, Efidi R, Fawale B, Yaria J, Akinyemi R, Owolabi M. Risk Factor Characterization of Ischemic Stroke Subtypes Among West Africans. Stroke 2022; 53:134-144. [PMID: 34587795 PMCID: PMC8712357 DOI: 10.1161/strokeaha.120.032072] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
BACKGROUND AND PURPOSE To identify the qualitative and quantitative contributions of conventional risk factors for occurrence of ischemic stroke and its key pathophysiologic subtypes among West Africans. METHODS The SIREN (Stroke Investigative Research and Educational Network) is a multicenter, case-control study involving 15 sites in Ghana and Nigeria. Cases include adults aged ≥18 years with ischemic stroke who were etiologically subtyped using the A-S-C-O-D classification into atherosclerosis, small-vessel occlusion, cardiac pathology, other causes, and dissection. Controls were age- and gender-matched stroke-free adults. Detailed evaluations for vascular, lifestyle, and psychosocial factors were performed. We used conditional logistic regression to estimate adjusted odds ratios with 95% CI. RESULTS There were 2431 ischemic stroke case and stroke-free control pairs with respective mean ages of 62.2±14.0 versus 60.9±13.7 years. There were 1024 (42.1%) small vessel occlusions, 427 (17.6%) large-artery atherosclerosis, 258 (10.6%) cardio-embolic, 3 (0.1%) carotid dissections, and 719 (29.6%) undetermined/other causes. The adjusted odds ratio (95% CI) for the 8 dominant risk factors for ischemic stroke were hypertension, 10.34 (6.91-15.45); dyslipidemia, 5.16 (3.78-7.03); diabetes, 3.44 (2.60-4.56); low green vegetable consumption, 1.89 (1.45-2.46); red meat consumption, 1.89 (1.45-2.46); cardiac disease, 1.88 (1.22-2.90); monthly income $100 or more, 1.72 (1.24-2.39); and psychosocial stress, 1.62 (1.18-2.21). Hypertension, dyslipidemia, diabetes were confluent factors shared by small-vessel, large-vessel and cardio-embolic subtypes. Stroke cases and stroke-free controls had a mean of 5.3±1.5 versus 3.2±1.0 adverse cardio-metabolic risk factors respectively (P<0.0001). CONCLUSIONS Traditional vascular risk factors demonstrate important differential effect sizes with pathophysiologic, clinical and preventative implications on the occurrence of ischemic stroke among indigenous West Africans.
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Affiliation(s)
- Fred S. Sarfo
- Department of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Bruce Ovbiagele
- Weill Institute for Neurosciences, School of Medicine, University of California San-Francisco, USA
| | - Onoja Akpa
- Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan,Preventive Cardiology Research Unit, Institute of Cardiovascular Diseases, College of Medicine, University of Ibadan, Nigeria
| | - Albert Akpalu
- Department of Medicine, University of Ghana Medical School, Accra, Ghana
| | - Kolawole Wahab
- Department of Medicine, University of Ilorin Teaching Hospital, Ilorin, Nigeria
| | - Reginald Obiako
- Department of Medicine, Ahmadu Bello University, Zaria, Nigeria
| | - Morenikeji Komolafe
- Department of Medicine, Obafemi Awolowo University Teaching Hospital, Ile-Ife, Nigeria
| | - Lukman Owolabi
- Department of Medicine, Aminu Kano Teaching Hospital, Kano, Nigeria
| | - Godwin Ogbole
- Department of Radiology, University of Ibadan, Nigeria
| | | | | | - Taofeek Sanni
- Federal Teaching Hospital, Ido-Ekiti Ado-Ekiti, Nigeria
| | | | | | | | - Samuel Olowookere
- Department of Medicine, Obafemi Awolowo University Teaching Hospital, Ile-Ife, Nigeria
| | | | - Philip Ibinaiye
- Department of Medicine, Ahmadu Bello University, Zaria, Nigeria
| | | | | | - Balogun Olayemi
- Department of Medicine, Ahmadu Bello University, Zaria, Nigeria
| | | | - Esther Abunimye
- Department of Medicine, Aminu Kano Teaching Hospital, Kano, Nigeria
| | | | - Suleiman Y. Isah
- Department of Medicine, Aminu Kano Teaching Hospital, Kano, Nigeria
| | | | | | | | | | | | - Josephine Akpalu
- Department of Medicine, University of Ghana Medical School, Accra, Ghana
| | | | - Osahon J. Asowata
- Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan,Preventive Cardiology Research Unit, Institute of Cardiovascular Diseases, College of Medicine, University of Ibadan, Nigeria
| | - Emmanuel O. Sanya
- Department of Medicine, University of Ilorin Teaching Hospital, Ilorin, Nigeria
| | | | | | - James A. Ogunmodede
- Department of Medicine, University of Ilorin Teaching Hospital, Ilorin, Nigeria
| | | | | | | | | | | | - Atinuke M. Agunloye
- College of Medicine, University of Ibadan, Nigeria,University College Hospital, Ibadan, Nigeria
| | | | | | - Philip M. Kolo
- Department of Medicine, University of Ilorin Teaching Hospital, Ilorin, Nigeria
| | - Obiora Okeke
- Federal Medical Centre Umuahia, Abia state, Nigeria
| | - Abiodun M. Adeoye
- College of Medicine, University of Ibadan, Nigeria,University College Hospital, Ibadan, Nigeria
| | - Olabamiji Ajose
- Department of Medicine, Obafemi Awolowo University Teaching Hospital, Ile-Ife, Nigeria
| | | | | | | | | | | | | | - Donna Arnett
- College of Public Health, University of Kentucky, USA
| | - Ruth Y. Laryea
- Department of Medicine, University of Ghana Medical School, Accra, Ghana
| | | | | | - Lucius Imoh
- Jos University Teaching Hospital Jos, Nigeria
| | | | | | | | - Wisdom Oguike
- Department of Medicine, Ahmadu Bello University, Zaria, Nigeria
| | | | | | - Obiabo Y. Olugbo
- Delta State University/Delta State University Teaching Hospital, Oghara, Nigeria
| | - Abiodun H. Bello
- Department of Medicine, University of Ilorin Teaching Hospital, Ilorin, Nigeria
| | | | - Luqman Ogunjimi
- Department of Pharmacology and Therapeutics, Olabisi Onabanjo University. Abeokuta, Nigeria
| | | | | | | | - Samuel Diala
- Department of Medicine, University of Ibadan, Nigeria
| | | | - Joyce Ikubor
- College of Public Health, University of Kentucky, USA
| | - Arti Singh
- Department of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | | | - Vida Obese
- Komfo Anokye Teaching Hospital Kumasi, Ghana
| | | | - Dorcas Owusu
- Department of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | | | - Raelle Tagge
- Weill Institute for Neurosciences, School of Medicine, University of California San-Francisco, USA
| | | | - Bimbo Fawale
- Department of Medicine, Obafemi Awolowo University Teaching Hospital, Ile-Ife, Nigeria
| | | | - Rufus Akinyemi
- Federal Medical Centre, Abeokuta, Nigeria.,Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Nigeria
| | - Mayowa Owolabi
- Department of Medicine, University of Ibadan, Nigeria,Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Nigeria
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Ungar A, Pescini F, Rafanelli M, De Angelis MV, Faustino M, Tomaselli C, Petrone A, Forleo G, Morani G, Forlivesi S, Molon G, Adami A, Maines M, Stegagno C, Poggesi A, Pantoni L. Detection of subclinical atrial fibrillation after cryptogenic stroke using implantable cardiac monitors. Eur J Intern Med 2021; 92:86-93. [PMID: 34247889 DOI: 10.1016/j.ejim.2021.06.022] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 06/17/2021] [Accepted: 06/20/2021] [Indexed: 11/18/2022]
Abstract
BACKGROUND Implantable cardiac monitor (ICM) revealed subclinical atrial fibrillation (SCAF) in up to 30% of cryptogenic stroke (CS) patients in randomized trials. However, real world data are limited. OBJECTIVES We investigated SCAF occurrence, treatments, clinical outcomes and predictors of SCAF in a multicenter real-world population subjected to ICM after CS. METHODS From September 2016 to November 2019, 20 Italian centers collected data of consecutive patients receiving ICM after CS and followed with remote and outpatient follow-up according to clinical practice. All device-detected AF events were confirmed by the cardiologist to diagnose SCAF. RESULTS ICM was implanted in 334 CS patients (mean age±SD 67.4±11.5 years, 129 (38.6%) females, 242 (76.1%) with CHA2DS2-VASC score≥4). During a follow-up of 23.6 (IQR 14.6-31.5) months, SCAF was diagnosed in 92 (27.5%) patients. First episode was asymptomatic in 81 (88.1%). SCAF daily burden ≥5 minutes was 22.0%, 24.1% and 31.5% at 6, 12, and 24 months after ICM implantation. Median time to first day with AF was 60 (IQR 18-140) days. Female gender, age>69 years, PR interval>160 ms and cortical-subcortical infarct type at enrolment were independently associated with an increased risk of SCAF. CONCLUSIONS In a real-world population, ICM detected SCAF in more than a quarter of CS patients. This experience confirms the relevance of implanting CS patients, for maximizing the possibilities to detect AF, following failure of Holter monitoring, according to guidelines. However, there is need to demonstrate that shift to oral anticoagulation following SCAF detection is associated with reduced risk of recurrent stroke.
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Affiliation(s)
- Andrea Ungar
- Division of Geriatric and Intensive Care Medicine, Syncope Unit, University of Florence, Firenze, Italy.
| | - Francesca Pescini
- Stroke Unit Emergency Department, Azienda Ospedaliero Universitaria Careggi, Firenze, Italy
| | - Martina Rafanelli
- Division of Geriatric and Intensive Care Medicine, Syncope Unit, University of Florence, Firenze, Italy
| | | | | | | | | | | | - Giovanni Morani
- Division of Cardiology, Department of Medicine, University of Verona, Verona, Italy
| | - Stefano Forlivesi
- Neurology and Stroke Unit, Department of Neuroscience, Azienda Ospedaliera Universitaria Integrata, Verona, Italy
| | - Giulio Molon
- Cardiology Department, IRCCS Sacro Cuore Don Calabria Hospital, Negrar, Italy
| | - Alessandro Adami
- Stroke Center, IRCCS Sacro Cuore Don Calabria Hospital, Negrar, Italy
| | | | - Chiara Stegagno
- Neurology Department, S. Maria del Carmine Hospital, Rovereto, Italy
| | - Anna Poggesi
- Stroke Unit Emergency Department, Azienda Ospedaliero Universitaria Careggi, Firenze, Italy; IRCCS Fondazione Don Carlo Gnocchi, Firenze, Italy; NEUROFARBA Department, University of Florence, Firenze, Italy
| | - Leonardo Pantoni
- "Luigi Sacco" Department of Biomedical and Clinical Sciences, University of Milan, Milano, Italy.
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Choi JM, Seo SY, Kim PJ, Kim YS, Lee SH, Sohn JH, Kim DK, Lee JJ, Kim C. Prediction of Hemorrhagic Transformation after Ischemic Stroke Using Machine Learning. J Pers Med 2021; 11:863. [PMID: 34575640 PMCID: PMC8470833 DOI: 10.3390/jpm11090863] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 08/25/2021] [Accepted: 08/28/2021] [Indexed: 12/27/2022] Open
Abstract
Hemorrhagic transformation (HT) is one of the leading causes of a poor prognostic marker after acute ischemic stroke (AIS). We compared the performances of the several machine learning (ML) algorithms to predict HT after AIS using only structured data. A total of 2028 patients with AIS, who were admitted within seven days of symptoms onset, were included in this analysis. HT was defined based on the criteria of the European Co-operative Acute Stroke Study-II trial. The whole dataset was randomly divided into a training and a test dataset with a 7:3 ratio. Binary logistic regression, support vector machine, extreme gradient boosting, and artificial neural network (ANN) algorithms were used to assess the performance of predicting the HT occurrence after AIS. Five-fold cross validation and a grid search technique were used to optimize the hyperparameters of each ML model, which had its performance measured by the area under the receiver operating characteristic (AUROC) curve. Among the included AIS patients, the mean age and number of male subjects were 69.6 years and 1183 (58.3%), respectively. HT was observed in 318 subjects (15.7%). There were no significant differences in corresponding variables between the training and test dataset. Among all the ML algorithms, the ANN algorithm showed the best performance in terms of predicting the occurrence of HT in our dataset (0.844). Feature scaling including standardization and normalization, and the resampling strategy showed no additional improvement of the ANN's performance. The ANN-based prediction of HT after AIS showed better performance than the conventional ML algorithms. Deep learning may be used to predict important outcomes for structured data-based prediction.
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Affiliation(s)
- Jeong-Myeong Choi
- Department of Convergence Software, Hallym University, Chuncheon 24252, Korea; (J.-M.C.); (S.-Y.S.); (Y.-S.K.)
| | - Soo-Young Seo
- Department of Convergence Software, Hallym University, Chuncheon 24252, Korea; (J.-M.C.); (S.-Y.S.); (Y.-S.K.)
| | - Pum-Jun Kim
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Korea; (P.-J.K.); (S.-H.L.); (J.-H.S.); (D.-K.K.); (J.-J.L.)
| | - Yu-Seop Kim
- Department of Convergence Software, Hallym University, Chuncheon 24252, Korea; (J.-M.C.); (S.-Y.S.); (Y.-S.K.)
| | - Sang-Hwa Lee
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Korea; (P.-J.K.); (S.-H.L.); (J.-H.S.); (D.-K.K.); (J.-J.L.)
- Department of Neurology, Chuncheon Sacred Heart Hospital, Chuncheon 24253, Korea
| | - Jong-Hee Sohn
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Korea; (P.-J.K.); (S.-H.L.); (J.-H.S.); (D.-K.K.); (J.-J.L.)
- Department of Neurology, Chuncheon Sacred Heart Hospital, Chuncheon 24253, Korea
| | - Dong-Kyu Kim
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Korea; (P.-J.K.); (S.-H.L.); (J.-H.S.); (D.-K.K.); (J.-J.L.)
- Department of Otorhinolaryngology and Head and Neck Surgery, Chuncheon Sacred Heart Hospital, Chuncheon 24253, Korea
| | - Jae-Jun Lee
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Korea; (P.-J.K.); (S.-H.L.); (J.-H.S.); (D.-K.K.); (J.-J.L.)
- Department of Anesthesiology and Pain Medicine, Chuncheon Sacred Heart Hospital, Chuncheon 24253, Korea
| | - Chulho Kim
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Korea; (P.-J.K.); (S.-H.L.); (J.-H.S.); (D.-K.K.); (J.-J.L.)
- Department of Neurology, Chuncheon Sacred Heart Hospital, Chuncheon 24253, Korea
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Cross-Talk of Atherosclerosis and Ischemic Stroke: Dramatic Role of Neutrophils. ARCHIVES OF NEUROSCIENCE 2021. [DOI: 10.5812/ans.104433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Context: Current investigations illustrate the increasing prevalence of atherosclerosis (AS) through the aggravating role of inappropriate lifestyle patterns. Atherosclerosis is the cause of important vascular-related diseases such as ischemic stroke (IS). Understanding AS pathophysiology can help reduce the incidence of AS-mediated diseases like ischemic stroke. Evidence Acquisition: For this narrative review article, we used the five mega databases of PubMed, Google Scholar, Scopus, Springer, and Science Direct. We searched from 2010 Jan to 2020 Dec and based on keywords and inclusion criteria, 77 articles were enrolled. Results: Based on prior articles on atherosclerosis and ischemic stroke pathophysiology, local and systemic inflammation is a vigorous factor in both diseasesIndeed, the fundamental inflammatory pathway involved atherosclerosis, and ischemic stroke is associated with the toll-like receptor 4/myeloid differentiation primary response 88/nuclear factor-kappa B (TLR4/ Myd88/ NF-κB) cascade. The functional paw of these intricate mechanisms are pro-inflammatory mediators, such as interleukin-1 beta (IL-1β), tumor necrosis factor (TNF-α), and interleukin-18 (IL-18) incite inflammation. Besides, the essential structures termed inflammasomes (multi proteins components), and multiplicity of immune and non-immune cells (i.e., neutrophils, monocytes, platelets, and macrophages) are beneficial in the induction of inflammatory microenvironment. Conclusions: Neutrophils could be the most effective cells in the inflammation-based mechanism in IS and AS. It is clarified that neutrophils with the recruitment of own vesicles and granules can afford to amplify inflammatory conditions and be a key cell in AS and IS cross-talk. Therefore, utilizing methods to control neutrophils-mediated mechanisms could be an effective method for the prevention of AS and IS.
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Xu T, Wang Y, Yuan J, Chen Y. The Effect of Statin Treatment on Outcomes of Cardioembolic Stroke: A Systematic Review and Meta-Analysis of Real-World Studies. CNS Drugs 2021; 35:717-726. [PMID: 34019256 DOI: 10.1007/s40263-021-00829-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/11/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Several real-world observational studies have investigated the association between statin treatment and outcomes of cardioembolic stroke. However, substantial uncertainties remain about this association. OBJECTIVE We aimed to perform a systematic review and meta-analysis to determine the effect of statin treatment on the outcomes of cardioembolic stroke. METHODS We systematically searched the PubMed and Embase databases for relevant clinical studies. Pooled relative risks (RRs) and 95% confidence intervals (CIs) with a random-effects model were used to assess the outcomes of interest. RESULTS A total of 18 observational studies published between 2009 and 2020 were included. No randomized clinical trial was found. Compared with non-statin treatment, statin treatment was not associated with a decreased risk of stroke recurrence in patients with cardioembolic stroke [PWCS] (RR, 0.93; 95% CI 0.82-1.06). However, compared with non-statin treatment, statin treatment was associated with a lower risk of all-cause death (RR, 0.59; 95% CI 0.49-0.73) and better functional outcomes (RR, 0.67; 95% CI 0.47-0.97) in PWCS. There was no significant association between statin treatment and major bleeding event risk in PWCS (RR, 0.35; 95% CI 0.06-2.16). Compared with non-statin treatment, statin treatment was not associated with a decreased risk of coronary atherosclerotic disease in PWCS (RR, 1.04; 95% CI 0.96-1.11). CONCLUSIONS Although the use of statins does not enhance the prevention of stroke recurrence in PWCS, statin treatment is associated with improved clinical outcomes in PWCS. Statins play a beneficial role in the treatment of cardioembolic stroke.
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Affiliation(s)
- Tao Xu
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Number 76, Linjiang Road, Yuzhong District, Chongqing, 400010, China
| | - You Wang
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Number 76, Linjiang Road, Yuzhong District, Chongqing, 400010, China
| | - Jinxian Yuan
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Number 76, Linjiang Road, Yuzhong District, Chongqing, 400010, China
| | - Yangmei Chen
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Number 76, Linjiang Road, Yuzhong District, Chongqing, 400010, China.
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Zare Rafie M, Esmaeilzadeh A, Ghoreishi A, Tahmasebi S, Faghihzadeh E, Elahi R. IL-38 as an early predictor of the ischemic stroke prognosis. Cytokine 2021; 146:155626. [PMID: 34157522 DOI: 10.1016/j.cyto.2021.155626] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 05/26/2021] [Accepted: 06/09/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND Ischemic stroke is caused by a sudden neurological defect following a vascular occlusion and elicits a local and systemic inflammation in brain tissue. Interleukin-38 is an anti-inflammatory cytokine associated with ischemic and inflammatory diseases. This study was designed to analyze the effect of tPA therapy on interleukin-38 serum level changes and the serum level of IL-38 in the prognosis of ischemic stroke patients in the next three months. METHODS We enrolled 29 ischemic stroke patients confirmed by a neurologist based on radiologic and clinical manifestation between 2019 September to 2020 February. The patients who had NIHSS more than 6 with no underlying inflammatory diseases were selected for tPA therapy. On admission and 24 h after tPA therapy, the IL-38 serum level was measured by ELISA kit. RESULTS The results showed that serum levels of IL-38 were significantly increased after tPA therapy (P < 0.001). A remarkable relationship was observed between the modified Rankin Score (mRS) and IL-38 serum changes in response to tPA therapy (P < 0.001). Besides, IL-38 serum changes following tPA were dramatically related to NIHSS at hospitalization (P = 0.007). Also, our analysis posed a positive relation between NIHSS at hospitalization and mRs criteria (P = 0.023). No notable relation has been observed between IL-38 serum levels before and after tPA and mRs (P = 0.601 and P = 0.074, respectively). Furthermore, there was no evidence for the relation between NIHSS at hospitalization and IL-38 levels before and after tPA (P = 0.457 and P = 0.105, respectively). CONCLUSION The results indicate that tPA could meaningfully increase the IL-38 serum level. Also, a negative correlation has been found between IL-38 serum changes in response to tPA and mRS. Since the lower changes in IL-38 serum level result in a poorer prognosis, we conclude that IL-38 serum changes might be a novel early predictor factor for ischemic stroke prognosis.
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Affiliation(s)
- Maryam Zare Rafie
- School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Abdolreza Esmaeilzadeh
- Department of Immunology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
| | - Abdolreza Ghoreishi
- Stroke Research Group, Head of Stroke Care Unit, Department of Neurology, Vali-e-Asr Hospital, School of Medicine, Zanjan University of Medical Sciences, Iran
| | - Safa Tahmasebi
- Department of Immunology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Elham Faghihzadeh
- Department of Biostatistics and Epidemiology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Reza Elahi
- School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
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30
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Gabet A, Guenancia C, Duloquin G, Olié V, Béjot Y. Ischemic Stroke With Atrial Fibrillation: Characteristics and Time Trends 2006 to 2017 in the Dijon Stroke Registry. Stroke 2021; 52:2077-2085. [PMID: 33874745 DOI: 10.1161/strokeaha.120.030812] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Amélie Gabet
- Cardiovascular and Neurovascular Division, Department of Non-Communicable Diseases, Santé Publique France, Saint-Maurice, France (A.G., V.O.)
| | - Charles Guenancia
- Department of Cardiology (C.G.), University Hospital of Dijon, France
| | - Gauthier Duloquin
- Department of Neurology (G.D., Y.B.), University Hospital of Dijon, France
| | - Valérie Olié
- Cardiovascular and Neurovascular Division, Department of Non-Communicable Diseases, Santé Publique France, Saint-Maurice, France (A.G., V.O.)
| | - Yannick Béjot
- Department of Neurology (G.D., Y.B.), University Hospital of Dijon, France.,Dijon Stroke Registry, EA4184, University Hospital and Medical School of Dijon, University of Burgundy, France (Y.B.)
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31
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Clinical condition of 120 patients alive at 3 years after poor-grade aneurysmal subarachnoid hemorrhage. Acta Neurochir (Wien) 2021; 163:1153-1166. [PMID: 33629124 PMCID: PMC7904392 DOI: 10.1007/s00701-021-04725-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 01/18/2021] [Indexed: 11/30/2022]
Abstract
Background To study the clinical condition of poor-grade aneurysmal subarachnoid hemorrhage (aSAH) patients alive at 3 years after neurointensive care. Methods Of the 769 consecutive aSAH patients from a defined population (2005–2015), 269 (35%) were in poor condition on admission: 145 (54%) with H&H 4 and 124 (46%) with H&H 5. Their clinical lifelines were re-constructed from the Kuopio Intracranial Aneurysm Database and Finnish nationwide registries. Of the 269 patients, 155 (58%) were alive at 14 days, 125 (46%) at 12 months, and 120 (45%) at 3 years. Results The 120 H&H 4–5 patients alive at 3 years form the final study population. On admission, 73% had H&H 4 but only 27% H&H 5, 59% intracerebral hematoma (ICH; median 22 cm3), and 26% intraventricular blood clot (IVH). The outcome was favorable (mRS 0–1) in 45% (54 patients: ICH 44%; IVH clot 31%; shunt 46%), moderate (mRS 2–3) in 30% (36 patients: ICH 64%; IVH clot 19%; shunt 42%), and unfavorable (mRS 4–5) in 25% (30 patients: ICH 80%; IVH clot 23%; shunt 50%). A total of 46% carried a ventriculoperitoneal shunt. ICH volume was a significant predictor of mRS at 3 years. Conclusions Of poor-grade aSAH patients, 45% were alive at 3 years, even 27% of those extending to pain (H&H 5). Of the survivors, 75% were at least in moderate condition, while only 2.6% ended in hospice care. Consequently, we propose non-selected admission to neurointensive care (1) for a possibility of moderate outcome, and (2), in case of brain death, possibly improved organ donation rates.
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Murtidjaja M, Stathis AO, Thomas SD, Beiles CB, Mwipatayi BP, Katib N, Varcoe RL. Trends and outcomes in Australian carotid artery revascularization surgery: 2010-2017. ANZ J Surg 2021; 91:1203-1210. [PMID: 33750011 DOI: 10.1111/ans.16757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 02/25/2021] [Accepted: 03/08/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Carotid endarterectomy (CEA) and carotid artery stenting (CAS) reduce the risk of stroke in patients with severe carotid stenosis. The aim was to compare contemporary treatment trends and outcomes after CEA and CAS between states of Australia. METHODS A retrospective analysis was conducted on data from the Australasian Vascular Audit between 2010 and 2017. The primary endpoint was perioperative stroke or death (S/D). We also analysed stroke and death independently and revascularization rates per 100 000 population. RESULTS A total of 15 413 patients underwent carotid revascularization (CEA 14 070; CAS 1343). S/D rates were similar for CEA and CAS (1.9% versus 1.8%; P = 0.37; symptomatic 2.1% versus 2.3%; P = 0.12; asymptomatic 1.5% versus 1.1%; P = 0.67). Patients ≥80 years (2.7% versus 1.7%; P = 0.01), those who had shunts (2.2% versus 1.7%; P = 0.03) or surgery in teaching hospitals (2.6% versus 1.4%; P = 0.02) had higher rates of S/D after CEA. Patients whose proceduralist used a cerebral protection device had lower S/D rates after CAS for symptomatic disease (4.8% versus 2.2%; P = 0.03). There was a wide variation in practice between states, where CAS as a proportion of total carotid procedures ranged from 0% to 17%, and a wide variation in outcomes, with rates of S/D varying between 1.4-6.6% for CEA and 0-6.7% after CAS. CONCLUSION Outcomes after CAS are equivalent to CEA when performed by vascular surgeons, however significant variation exists for both choice of revascularization procedure and perioperative outcomes between states. Further investigation is needed to determine whether clinical care pathways should be revised to achieve consistency and quality of outcomes.
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Affiliation(s)
- Michelle Murtidjaja
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Alexandra O Stathis
- Department of Surgery, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Shannon D Thomas
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.,Department of Surgery, Prince of Wales Hospital, Sydney, New South Wales, Australia.,The Vascular Institute, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Charles Barry Beiles
- Australasian Vascular Audit, Australian and New Zealand Society for Vascular Surgery, Melbourne, Victoria, Australia
| | - Bibombe Patrice Mwipatayi
- University of Western Australia, School of Surgery, Perth, Western Australia, Australia.,Department of Vascular Surgery, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Nedal Katib
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.,Department of Surgery, Prince of Wales Hospital, Sydney, New South Wales, Australia.,The Vascular Institute, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Ramon L Varcoe
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.,Department of Surgery, Prince of Wales Hospital, Sydney, New South Wales, Australia.,The Vascular Institute, Prince of Wales Hospital, Sydney, New South Wales, Australia
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Nair S, Chen S, Gupta D, Smith AJ, McGregor AL. Higher BMI Confers a Long-Term Functional Status Advantage in Elderly New Zealand European Stroke Patients. J Stroke Cerebrovasc Dis 2021; 30:105711. [PMID: 33714074 DOI: 10.1016/j.jstrokecerebrovasdis.2021.105711] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 02/15/2021] [Accepted: 02/18/2021] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE Obesity is a risk factor for ischaemic stroke but provides a survival advantage. The relationship between body mass index (BMI) and long-term function is less clear. The presence of an obesity paradox can inform clinical care and identify vulnerable patients who need additional support post-stroke. MATERIALS AND METHODS This study used linked health administrative data of a population based cohort of adult patients who experienced an ischaemic stroke between 2012 and 2017 in New Zealand. Patient demographics were obtained from the National Minimum Dataset (NMDS). BMI and Activities of Daily Living scores (ADLs) for the same patients were obtained from the International Resident Assessment Instrument (InterRAI™). RESULTS Linked data was obtained for 3731 patients. Ninety-five percent of the cohort were aged 65 or older and the average age of stroke was 84.5 years. The majority of patients (55%) identified as New Zealand European. Beta regression indicated BMI and European ethnicity were negatively associated with ADL score. Univariate analysis confirmed patients with underweight stroke had significantly higher ADL scores than other BMI categories (p<0.001), however functional status for patients with overweight and obesity were comparable. Further, Asian and Pacific Peoples had higher ADL scores than Europeans (p<0.05). A higher BMI was advantageous to all ADL subscores. CONCLUSION An abridged obesity paradox was evident in our cohort of stroke patients where a BMI in the overweight, but not obese range conferred a long-term functional status advantage. Collectively these results suggest underweight and non-European patients may require additional supportive clinical care post-stroke.
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Affiliation(s)
- Shivankar Nair
- School of Pharmacy, University of Otago, PO Box 56, Dunedin 9054, New Zealand.
| | - Siyi Chen
- Department of Physiology, University of Auckland, New Zealand.
| | - Deepak Gupta
- Department of Information Science, University of Otago, Dunedin, New Zealand.
| | - Alesha J Smith
- School of Pharmacy, University of Otago, PO Box 56, Dunedin 9054, New Zealand.
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Parrella E, Gussago C, Porrini V, Benarese M, Pizzi M. From Preclinical Stroke Models to Humans: Polyphenols in the Prevention and Treatment of Stroke. Nutrients 2020; 13:nu13010085. [PMID: 33383852 PMCID: PMC7823436 DOI: 10.3390/nu13010085] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 12/24/2020] [Indexed: 02/07/2023] Open
Abstract
Polyphenols are an important family of molecules of vegetal origin present in many medicinal and edible plants, which represent important alimentary sources in the human diet. Polyphenols are known for their beneficial health effects and have been investigated for their potential protective role against various pathologies, including cancer, brain dysfunctions, cardiovascular diseases and stroke. The prevention of stroke promoted by polyphenols relies mainly on their effect on cardio- and cerebrovascular systems. However, a growing body of evidence from preclinical models of stroke points out a neuroprotective role of these molecules. Notably, in many preclinical studies, the polyphenolic compounds were effective also when administered after the stroke onset, suggesting their possible use in promoting recovery of patients suffering from stroke. Here, we review the effects of the major polyphenols in cellular and in vivo models of both ischemic and hemorrhagic stroke in immature and adult brains. The results from human studies are also reported.
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Negrão EM, Freitas MCDNB, Marinho PBC, Hora TF, Montanaro VVA, Martins BJAF, Ramalho SHR. Coronary Calcium Score and Stratification of Coronary Artery Disease Risk in Patients with Atherosclerotic and Non-Atherosclerotic Ischemic Stroke. Arq Bras Cardiol 2020; 115:1144-1151. [PMID: 33470315 PMCID: PMC8133727 DOI: 10.36660/abc.20190616] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 11/26/2019] [Accepted: 11/26/2019] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Ischemic Stroke (IS) and Coronary Artery Disease (CAD) frequently coexist and share atherosclerotic disease risk factors. According to the American Heart Association, IS subtypes may be considered CAD risk equivalents, but the evidence for non-atherosclerotic IS is uncertain. Additionally, the Coronary Calcium Score (CCS) is an accurate marker to address CAD risk; however, CCS distribution between IS subtypes is not well characterized. OBJECTIVES To compare the CCS between atherosclerotic and non-atherosclerotic IS groups; and to determine which covariates were associated with high CCS in IS. METHODS This cross-sectional design included all patients with IS, 45 to 70 years of age at the time of the stroke, consecutively admitted to a rehabilitation hospital between August 2014 and December 2016, without prevalent CAD. All patients underwent CT scanning for CCS measurement. CCS≥100 was considered a high risk for CAD, with a significance level of p<0.05. RESULTS From the 244 studied patients (mean age 58.4±6.8 years; 49% female), 164 (67%) had non-atherosclerotic etiology. The proportions of CCS≥100 were similar between the atherosclerotic and the non-atherosclerotic groups (33% [n=26] x 29% [n=47]; p= 0.54). Among all IS patients, only age ≥60 years was independently associated with CCS≥100 (OR 3.5; 95%CI 1.7-7.1), accounting for hypertension, dyslipidemia, diabetes, sedentarism, and family history of CAD. CONCLUSION Atherosclerotic IS did not present a greater risk of CAD when compared to non-atherosclerotic IS according to CCS. Only age ≥60 years, but not etiology, was independently associated with CCS≥100.
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Affiliation(s)
- Edson Marcio Negrão
- Rede SARAH de Hospitais de ReabilitaçãoBrasíliaDFBrasilRede SARAH de Hospitais de Reabilitação - Clínica Médica, Brasília, DF - Brasil
| | | | | | - Thiago Falcão Hora
- Rede SARAH de Hospitais de ReabilitaçãoBrasíliaDFBrasilRede SARAH de Hospitais de Reabilitação – Neurologia, Brasília, DF - Brasil
| | - Vinicius Viana Abreu Montanaro
- Rede SARAH de Hospitais de ReabilitaçãoBrasíliaDFBrasilRede SARAH de Hospitais de Reabilitação – Neurologia, Brasília, DF - Brasil
| | | | - Sergio Henrique Rodolpho Ramalho
- Rede SARAH de Hospitais de ReabilitaçãoBrasíliaDFBrasilRede SARAH de Hospitais de Reabilitação - Clínica Médica, Brasília, DF - Brasil
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Towfighi A, Benson RT, Tagge R, Moy CS, Wright CB, Ovbiagele B. Inaugural Health Equity and Actionable Disparities in Stroke: Understanding and Problem-Solving Symposium. Stroke 2020; 51:3382-3391. [PMID: 33104474 DOI: 10.1161/strokeaha.120.030423] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Race/ethnic minorities face significant inequities in stroke incidence, prevalence, care, and outcomes. The Health Equity and Actionable Disparities in Stroke: Understanding and Problem-solving symposium, a collaborative initiative of the American Heart Association and National Institute of Neurological Disorders and Stroke, was the first-ever annual multidisciplinary scientific forum focused on race/ethnic inequities in cerebrovascular disease, with the overarching goal of reducing inequities in stroke and accelerating the translation of research findings to improve outcomes for race/ethnic minorities. The symposium featured esteemed invited plenary speakers, lecturing on determinants of race/ethnic inequities in stroke and interventions aimed at redressing the inequities. The Edgar J. Kenton III Award recognized Ralph Sacco, MD, MS, for his lifetime contributions to investigation, management, mentorship, and community service in the field of stroke inequities. Early career investigators were provided with travel awards to attend the symposium; presented their research at moderated poster and Think Tank sessions; received career development advice at the Building Momentum session; and networked with experienced stroke inequities researchers. Future conferences-The Health Equity and Actionable Disparities in Stroke: Understanding and Problem-solving 2021 to 2024-will broaden the focus to include 5 major persistent inequities (race/ethnic, sex, geographic, socioeconomic, and global). Each year will focus on a different theme (community and stakeholder engagement; clinical trials; implementation science; and policy and dissemination). By fostering a community of stroke inequities researchers, we hope to highlight promising work, illuminate research gaps, facilitate networking, inform policy makers, recognize achievement, inspire greater interest among junior investigators to pursue careers in this field, and provide networking opportunities for underrepresented minority scientists.
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Affiliation(s)
- Amytis Towfighi
- Department of Neurology, University of Southern California, Los Angeles (A.T.).,Los Angeles County-Department of Health Services, Los Angeles, CA (A.T.)
| | - Richard T Benson
- Office of Global Health and Health Disparities (R.T.B.), National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Raelle Tagge
- Northern California Institute for Research and Education, San Francisco, CA (R.T.)
| | - Claudia S Moy
- Division of Clinical Research (C.S.M., C.B.W.), National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Clinton B Wright
- Division of Clinical Research (C.S.M., C.B.W.), National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Bruce Ovbiagele
- Department of Neurology, University of California, San Francisco, CA (B.O.)
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Ovbiagele B. HEADS-UP: Understanding and Problem-Solving: Seeking Hands-Down Solutions to Major Inequities in Stroke. Stroke 2020; 51:3375-3381. [PMID: 33104464 DOI: 10.1161/strokeaha.120.032442] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
There are substantial and longstanding inequities in stroke incidence, prevalence, care, and outcomes. The Health Equity and Actionable Disparities in Stroke: Understanding and Problem-Solving (HEADS-UP) symposium is an annual multidisciplinary scientific and educational forum targeting major inequities in cerebrovascular disease, with the ultimate objective of helping to bridge major inequities in stroke, and promptly translating scientific results into routine clinical practice, for the benefit of vulnerable and underserved populations. HEADS-UP is a collaborative undertaking by the National Institute of Neurological Disorders and Stroke and the American Stroke Association and is held the day before the annual International Stroke Conference. In 2020, the HEADS-UP focused on the topic of racial/ethnic disparities in stroke and comprised invited lectures on determinants of racial/ethnic inequities in stroke as well as emerging interventions or promising strategies designed to overcome these inequities. Competitively selected travel award scholarships were given to 19 early stage investigators who presented posters at professor moderated sessions; engaged in several career development activities aimed imparting grant writing skills, knowledge about climbing the academic ladder, and striving for work-life balance; and participated in networking events. This Health Equity edition of Focused Updates will feature an overview of the HEADS-UP 2020 symposium proceedings and articles covering the key scientific content of the major lectures delivered during the symposium including the presentation by the award-winning plenary speaker. Starting in 2021, HEADS-UP will expand to include 5 major inequities in stroke (racial/ethnic, sex, geographic, socioeconomic, and global) and seeks to be a viable avenue to meet the health equity goals of the American Heart Association/American Stroke Association, National Institutes of Neurological Disorders and Stroke, and World Stroke Organization.
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Affiliation(s)
- Bruce Ovbiagele
- Department of Neurology, University of California, San Francisco
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Yang Y, Man X, Nicholas S, Li S, Bai Q, Huang L, Ma Y, Shi X. Utilisation of health services among urban patients who had an ischaemic stroke with different health insurance - a cross-sectional study in China. BMJ Open 2020; 10:e040437. [PMID: 33040017 PMCID: PMC7549448 DOI: 10.1136/bmjopen-2020-040437] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVES This study investigates the disparities in the utilisation of patient health services for patients who had a stroke covered by different urban basic health insurance schemes in China. DESIGN We conducted descriptive analysis based on a 5% random sample from claims data of China Urban Employees' Basic Medical Insurance (UEBMI) and Urban Residents' Basic Medical Insurance (URBMI) in 2015, supplied by the China Health Insurance Research Association. SETTING Chinese urban social insurance system. PARTICIPANTS A total of 56 485 patients who had a stroke were identified, including 36 487 UEBMI patients and 19 998 URBMI patients. PRIMARY AND SECONDARY OUTCOME MEASURES The primary outcome measures include annual number of hospitalisations, average length of stay (ALOS) and average hospitalisation cost. Out-of-pocket (OOP) cost is the secondary outcome measure. RESULTS The annual mean number of hospitalisations of UEBMI patients was 1.21 and 1.15 for URBMI patients. The ALOS was significantly longer for UEBMI than for URBMI patients (13.93 vs 10.82, p<0.001). Hospital costs were significantly higher for UEBMI than for URBMI patients (US$1724.02 vs US$986.59 (p<0.001), while the OOP costs were significantly higher for URBMI than for UEBMI patients (US$423.17 vs US$407.81 (p<0.001). Patients with UEBMI had higher reimbursement rate than URBMI patients (79.41% vs 66.92%, p<0.001) and a lower self-paid ratio than URBMI patients (23.65% vs 42.89%, p<0.001). CONCLUSIONS Significant disparities were found in the utilisation of hospital services between UEBMI and URBMI patients. Our results call for a systemic strategy to improve the fragmented social health insurance system and narrow the gaps in China's health insurance schemes.
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Affiliation(s)
- Yong Yang
- School of Management, Beijing University of Chinese Medicine, Beijing, China
| | - Xiaowei Man
- School of Management, Beijing University of Chinese Medicine, Beijing, China
| | - Stephen Nicholas
- Australian National Institute of Management and Commerce, 1 Central Avenue Australian Technology Park, Eveleigh Sydney NSW 2015, New South Wales, Australia
- Guangdong Institute for International Strategies, Guangdong University of Foreign Studies, Guangzhou, China
- School of Economics and School of Management, Tianjin Normal University, Tianjin, China
- Newcastle Business School, University of Newcastle, Newcastle, Callaghan, Australia
| | - Shuo Li
- School of Management, Beijing University of Chinese Medicine, Beijing, China
| | - Qian Bai
- School of Management, Beijing University of Chinese Medicine, Beijing, China
| | - Lieyu Huang
- School of Management, Beijing University of Chinese Medicine, Beijing, China
| | - Yong Ma
- China Health Insurance Research Association, Beijing, China
| | - Xuefeng Shi
- School of Management, Beijing University of Chinese Medicine, Beijing, China
- National Institute of Traditional Chinese Medicine Strategy and Development, Beijing University of Chinese Medicine, Beijing, China
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Samuels I, Wang MTM, Chong KP, Davis A, Ranta A, Barber PA. Ethnic Differences in Access to Stroke Reperfusion Therapy in Northern New Zealand. Neuroepidemiology 2020; 54:427-432. [PMID: 32957111 DOI: 10.1159/000510505] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 07/26/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND In New Zealand, Māori and Pacific people have higher age-adjusted stroke incidence rates, younger age at first stroke, and higher mortality at 12 months than other ethnic groups. We aimed to determine if access to acute stroke reperfusion therapy with intravenous thrombolysis (IVT) or endovascular thrombectomy (EVT) is equitable among ethnic groups. METHODS Data were obtained from the Northern Region component of the New Zealand Stroke Registry over the 21 months between January 1, 2018 and September 30, 2019. Data recorded included demographic details, self-identified ethnicity, treatment times, and clinical outcomes. National hospital discharge coding of patients admitted with ischemic stroke and stroke unspecified was used to determine the proportion of patients treated by ethnic group. RESULTS There were 537 patients normally resident in the Northern Region who received reperfusion therapy: 281 received IVT alone, 123 received EVT after bridging IVT, and 133 received EVT alone. Of the 537 patients treated with IVT or EVT, there were 81 (15.1%) Māori, 78 (14.5%) Pacific, 57 (10.6%) Asian, and 341 (63.5%) NZ European/other ethnicity patients. There were no ethnic differences in treatment process times. When compared with NZ European/others, Māori and Pacific people were younger, and Māori had worse neurological impairment at admission. A higher proportion of Māori were treated with EVT with a trend to higher proportion treated with IVT. Day 90 modified Rankin Scale (mRS) for EVT-treated patients was similar apart from Asian patients who had worse outcome when compared with NZ European/others (mRS 3 vs. 2; p = 0.03). CONCLUSIONS This study has shown equitable access to acute stroke reperfusion therapies and largely similar outcomes in different ethnic groups in northern New Zealand.
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Affiliation(s)
- Isaac Samuels
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Michael T M Wang
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Kar Po Chong
- Northern Regional Alliance, Auckland, New Zealand
| | - Alan Davis
- Department of Medicine, Whangarei Hospital, Whangarei, New Zealand
| | - Annemarei Ranta
- Department of Medicine, University of Otago, Wellington, New Zealand
| | - P Alan Barber
- Department of Medicine, University of Auckland, Auckland, New Zealand,
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Twenty-Year Time Trends in Long-Term Case-Fatality and Recurrence Rates After Ischemic Stroke Stratified by Etiology. Stroke 2020; 51:2778-2785. [DOI: 10.1161/strokeaha.120.029972] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Background and Purpose:
Data on long-term survival and recurrence after stroke are lacking. We investigated time trends in ischemic stroke case-fatality and recurrence rates over 20-years stratified by etiological subtype according to the Trial of ORG 10172 in Acute Stroke Treatment classification within a population-based stroke register in Germany.
Methods:
Data was collected within the Erlangen Stroke Project, a prospective, population-based stroke register covering a source population of 105 164 inhabitants (2010). Case fatality and recurrence rates for 3 months, 1 year, and 5 years were estimated with Kaplan-Meier estimates. Sex-specific time trends for case-fatality and recurrence rates were estimated with Cox regression. We adjusted for age, sex, and year of event and stratified for etiological subtypes. A sensitivity analysis with competing risk analysis for time trends in recurrence were performed.
Results:
Between 1996 and 2015, 3346 patients with first ischemic stroke were included; age-standardized incidence per 100 000 was 75.8 in women and 131.6 in men (2015). Overall, 5-year survival probabilities were 50.4% (95% CI, 47.9–53.1) in women and 59.2% (95% CI, 56.4–62.0) in men; 5-year survival was highest in patients with first stroke due to small-artery occlusion (women, 71.8% [95% CI, 67.1–76.9]; men, 75.9% [95% CI, 71.3–80.9]) and lowest in cardioembolic stroke (women, 35.7% [95% CI, 31.0–41.1]; men, 47.8% [95% CI, 42.2–54.3]). Five-year recurrence rates were 20.1% (95% CI, 17.5–22.6) in women and 20.1% (95% CI, 17.5–22.7) in men; 5-year recurrence rate was lowest in women in stroke due to small artery occlusion 16.0% (95% CI, 11.7–20.1) and in men in large-artery atherosclerosis 16.6% (95% CI, 8.7–23.9); highest risk of recurrence was observed in undefined strokes (women, 22.3% [95% CI, 17.8–26.6]; men, 21.4% [95% CI, 16.7–25.9]). Cox regression revealed improvements in case-fatality rates over time with differences in stroke causes. No time trends in recurrence rates were observed.
Conclusions:
Long-term survival and recurrence varied substantially by first stroke cause. Survival probabilities improved over the past 2 decades; no major trends in stroke recurrence rates were observed.
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Role of the Platelets and Nitric Oxide Biotransformation in Ischemic Stroke: A Translative Review from Bench to Bedside. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2020; 2020:2979260. [PMID: 32908630 PMCID: PMC7474795 DOI: 10.1155/2020/2979260] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 07/27/2020] [Indexed: 12/13/2022]
Abstract
Ischemic stroke remains the fifth cause of death, as reported worldwide annually. Endothelial dysfunction (ED) manifesting with lower nitric oxide (NO) bioavailability leads to increased vascular tone, inflammation, and platelet activation and remains among the major contributors to cardiovascular diseases (CVD). Moreover, temporal fluctuations in the NO bioavailability during ischemic stroke point to its key role in the cerebral blood flow (CBF) regulation, and some data suggest that they may be responsible for the maintenance of CBF within the ischemic penumbra in order to reduce infarct size. Several years ago, the inhibitory role of the platelet NO production on a thrombus formation has been discovered, which initiated the era of extensive studies on the platelet-derived nitric oxide (PDNO) as a platelet negative feedback regulator. Very recently, Radziwon-Balicka et al. discovered two subpopulations of human platelets, based on the expression of the endothelial nitric oxide synthase (eNOS-positive or eNOS-negative platelets, respectively). The e-NOS-negative ones fail to produce NO, which attenuates their cyclic guanosine monophosphate (cGMP) signaling pathway and-as result-promotes adhesion and aggregation while the e-NOS-positive ones limit thrombus formation. Asymmetric dimethylarginine (ADMA), a competitive NOS inhibitor, is an independent cardiovascular risk factor, and its expression alongside with the enzymes responsible for its synthesis and degradation was recently shown also in platelets. Overproduction of ADMA in this compartment may increase platelet activation and cause endothelial damage, additionally to that induced by its plasma pool. All the recent discoveries of diverse eNOS expression in platelets and its role in regulation of thrombus formation together with studies on the NOS inhibitors have opened a new chapter in translational medicine investigating the onset of acute cardiovascular events of ischemic origin. This translative review briefly summarizes the role of platelets and NO biotransformation in the pathogenesis and clinical course of ischemic stroke.
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Qawasmeh MA, Aldabbour B, Momani A, Obiedat D, Alhayek K, Kofahi R, Yassin A, El-Salem K. Epidemiology, Risk Factors, and Predictors of Disability in a Cohort of Jordanian Patients with the First Ischemic Stroke. Stroke Res Treat 2020; 2020:1920583. [PMID: 32566121 PMCID: PMC7292978 DOI: 10.1155/2020/1920583] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 05/17/2020] [Accepted: 05/23/2020] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVE To identify the risk factors, etiologies, length of stay, severity, and predictors of disability among patients with the first ischemic stroke in Jordan. METHODS A retrospective cohort study of 142 patients who were admitted to the Neurology Department at King Abdullah University Hospital between July/2017 and March/2018 with a first ischemic stroke. Etiology was classified according to the TOAST criteria. Severity was represented by NIHSS score, disability by mRS score, and prolonged length of stay as hospitalizations more than 75th percentile of the cohort's median length of stay. Analysis of the sample demographics and descriptive statistics were done, including frequencies of prevalence of independent variables (risk factors) and frequencies of stroke and etiology work-up. Chi-square and univariate analysis of variance "ANOVA" were used to investigate the relationship between risk factors and type of stroke. Finally, logistic regression analysis was used to measure the contribution of each of the independent variables. IRB approval was obtained as necessary. RESULTS The mean age for the cohort was 66.5 years. The most common risk factors were hypertension (78.8%), diabetes mellitus (60.5%), and ischemic heart disease (29.4%). The most common stroke etiology was small-vessel occlusion (54.2%). Median length of stay was 4 days. Prolonged length of stay was observed in 23.23% of patients, which was associated with several factors, the most common of which were persistent dysphagia (57.5%), nosocomial infection (39.3%), and combined dysphagia and nosocomial infection (21.2%). The mean admission NIHSS score was 7.94, and on discharge was 5.76. In-hospital mortality was 2.81%, while 50% of patients had a favorable outcome on discharge (mRS score between 0-2). The mean discharge mRS score for the cohort was 2.47 (SD ± 1.79). Large artery atherosclerosis was associated with the highest residual disability with a mean score of 3.67 (SD ± 1.88), while the stroke of undetermined etiology was associated with the lowest residual disability with a mean score of 1.60 (SD ± 1.78). Significant predictors of mRS score were smoking (t 3.24, P < 0.001), age (t 1.98, P < 0.049), and NIHSS score (t 9.979, P 0.000). CONCLUSION Ischemic strokes have different etiologies that are associated with different levels of impact on the patient's clinical status and prognosis. Large artery atherosclerosis was associated with the highest residual disability. Regarding predictors of prognosis, current smoking status, age above 50, gender, and NIHSS on admission appear to be the strongest predictors of prognosis. Finally, higher NIHSS score on admission resulted in a longer hospital stay.
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Affiliation(s)
- Majdi Al Qawasmeh
- Department of Neurology, King Abdullah University Hospital (KAUH) of Jordan University of Science and Technology (JUST), Irbid, Jordan
| | - Belal Aldabbour
- Department of Neurology, King Abdullah University Hospital (KAUH) of Jordan University of Science and Technology (JUST), Irbid, Jordan
| | - Aiman Momani
- Department of Neurology, King Abdullah University Hospital (KAUH) of Jordan University of Science and Technology (JUST), Irbid, Jordan
| | - Deema Obiedat
- Department of Neurology, King Abdullah University Hospital (KAUH) of Jordan University of Science and Technology (JUST), Irbid, Jordan
| | - Kefah Alhayek
- Department of Neurology, King Abdullah University Hospital (KAUH) of Jordan University of Science and Technology (JUST), Irbid, Jordan
| | - Raid Kofahi
- Department of Neurology, King Abdullah University Hospital (KAUH) of Jordan University of Science and Technology (JUST), Irbid, Jordan
| | - Ahmed Yassin
- Department of Neurology, King Abdullah University Hospital (KAUH) of Jordan University of Science and Technology (JUST), Irbid, Jordan
| | - Khalid El-Salem
- Department of Neurology, King Abdullah University Hospital (KAUH) of Jordan University of Science and Technology (JUST), Irbid, Jordan
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Li L, Scott CA, Rothwell PM. Trends in Stroke Incidence in High-Income Countries in the 21st Century: Population-Based Study and Systematic Review. Stroke 2020; 51:1372-1380. [PMID: 32208842 PMCID: PMC7185053 DOI: 10.1161/strokeaha.119.028484] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 01/03/2020] [Accepted: 02/17/2020] [Indexed: 11/28/2022]
Abstract
Background and Purpose- Population-based studies provide the most reliable data on stroke incidence. A previous systematic review of population-based studies suggested that stroke incidence in high-income countries decreased by 42% between the 1970s and early 2000s. However, it is uncertain whether this trend of steady decline has been maintained in more recent periods. Methods- Data from OCSP (Oxfordshire Community Stroke Project; 1981-1986) and OXVASC (Oxford Vascular Study; 2002-2017) along with other published population-based stroke incidence studies that reported temporal trends of stroke incidence since 1990 in high-income countries were included. Age-standardized relative incidence rate ratios were calculated for each study and then pooled with inverse-variance weighted random-effects meta-analysis. Projection estimates were calculated for the number of incident stroke patients in the United Kingdom from year 2015 to 2045. Results- In Oxfordshire, stroke incidence fell by 32% from OCSP to OXVASC, with a similar trend before or after year 2000. With the projected aging population, if the age-specific stroke incidence continued to decrease at its current rate (6% every 5 years), there would still be a 13% increase of the number of first-ever strokes in the United Kingdom up to year 2045. Incorporating the Oxfordshire data with other 12 population-based studies, stroke incidence declined steadily between the 1990s and 2010s within each study, resulting in a 28% decline over an average period of 16.5 years (pooled incidence rate ratio, 0.72 [95% CI, 0.66-0.79]; P<0.0001). The trend was the same for men (0.69 [95% CI, 0.61-0.77]; P<0.0001) and women (0.66 [95% CI, 0.59-0.74]; P<0.0001) and remained consistent after year 2010 in OXVASC. Proportion of disabling or fatal stroke also decreased over time (early versus later period, 53.6% versus 46.1%; P=0.02). Conclusions- Stroke incidence is continuing to decline with steady rate in Oxfordshire and in other high-income settings. However, the absolute number of strokes occurring is not falling.
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Affiliation(s)
- Linxin Li
- From the Nuffield Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
| | - Catherine A. Scott
- From the Nuffield Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
| | - Peter M. Rothwell
- From the Nuffield Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
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Giacomozzi S, Caso V, Agnelli G, Acciarresi M, Alberti A, Venti M, Mosconi MG, Paciaroni M. Lacunar stroke syndromes as predictors of lacunar and non-lacunar infarcts on neuroimaging: a hospital-based study. Intern Emerg Med 2020; 15:429-436. [PMID: 31535289 DOI: 10.1007/s11739-019-02193-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 09/07/2019] [Indexed: 02/07/2023]
Abstract
Lacunar syndromes are usually caused by small ischemic lesions called lacunar infarcts. However, non-lacunar infarcts account for about 20% of lacunar syndromes. The aim of this study was to identify clinical predictors of lacunar syndromes led by non-lacunar infarcts. The following single centre, observational study was conducted on an analysis of the "Perugia hospital-based Stroke Registry" database enrolling consecutive patients admitted with ischemic stroke during the period 2010-2017. We evaluated patient risk factors and clinical features linked to stroke syndrome (lacunar/non-lacunar) and to cerebral infarction (lacunar/non-lacunar). Lacunar syndromes were diagnosed in 478 (26.6%) out of 1796 patients. In 104 (21.1%) patients, lacunar syndromes were caused by non-lacunar infarcts. Lacunar syndromes with lacunar infarcts were primarily linked to diabetes (27.8% vs 16.3%) and obesity (7.7% vs 0.9%), while lacunar syndromes with non-lacunar infarcts were linked to a higher risk of atrial fibrillation (22.1% vs 9.4%) and higher National Institute of Health Stroke Scale scores on admission (mean 5.5 ± 3.7 vs 4.7 ± 2.8). On multivariate analysis, atrial fibrillation (OR 1.67, 95% CI 1.09-2.31; p = 0.002) and higher NIHSS (OR 1.12 for each point increase, 95% CI 1.09-1.15; p < 0.001) were predictors of non-lacunar infarcts in all stroke cases, while lacunar syndromes were inversely associated with non-lacunar infarcts (OR 0.15, 95% CI 0.11-0.20; p < 0.001). Atrial fibrillation was the only predictor of non-lacunar infarcts in patients with lacunar syndromes (OR 2.62, 95% CI 1.33-5.18; p = 0.005). 21% of patients with lacunar syndromes had non-lacunar infarctions. Atrial fibrillation turned out to be a predictor of lacunar syndrome due to non-lacunar infarct.
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Affiliation(s)
- Sebastiano Giacomozzi
- Stroke Unit and Division of Cardiovascular Medicine, Santa Maria della Misericordia Hospital, University of Perugia, Sant'Andrea delle Fratte, 06128, Perugia, Italy.
| | - Valeria Caso
- Stroke Unit and Division of Cardiovascular Medicine, Santa Maria della Misericordia Hospital, University of Perugia, Sant'Andrea delle Fratte, 06128, Perugia, Italy
| | - Giancarlo Agnelli
- Stroke Unit and Division of Cardiovascular Medicine, Santa Maria della Misericordia Hospital, University of Perugia, Sant'Andrea delle Fratte, 06128, Perugia, Italy
| | - Monica Acciarresi
- Stroke Unit and Division of Cardiovascular Medicine, Santa Maria della Misericordia Hospital, University of Perugia, Sant'Andrea delle Fratte, 06128, Perugia, Italy
| | - Andrea Alberti
- Stroke Unit and Division of Cardiovascular Medicine, Santa Maria della Misericordia Hospital, University of Perugia, Sant'Andrea delle Fratte, 06128, Perugia, Italy
| | - Michele Venti
- Stroke Unit and Division of Cardiovascular Medicine, Santa Maria della Misericordia Hospital, University of Perugia, Sant'Andrea delle Fratte, 06128, Perugia, Italy
| | - Maria Giulia Mosconi
- Stroke Unit and Division of Cardiovascular Medicine, Santa Maria della Misericordia Hospital, University of Perugia, Sant'Andrea delle Fratte, 06128, Perugia, Italy
| | - Maurizio Paciaroni
- Stroke Unit and Division of Cardiovascular Medicine, Santa Maria della Misericordia Hospital, University of Perugia, Sant'Andrea delle Fratte, 06128, Perugia, Italy
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45
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Late Cerebrovascular Events Following Transcatheter Aortic Valve Replacement. JACC Cardiovasc Interv 2020; 13:872-881. [DOI: 10.1016/j.jcin.2019.11.022] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 11/04/2019] [Accepted: 11/12/2019] [Indexed: 11/23/2022]
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46
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Zhao S, Jiang H, Liang ZH, Ju H. Integrating Multi-Omics Data to Identify Novel Disease Genes and Single-Neucleotide Polymorphisms. Front Genet 2020; 10:1336. [PMID: 32038707 PMCID: PMC6993083 DOI: 10.3389/fgene.2019.01336] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Accepted: 12/06/2019] [Indexed: 12/15/2022] Open
Abstract
Stroke ranks the second leading cause of death among people over the age of 60 in the world. Stroke is widely regarded as a complex disease that is affected by genetic and environmental factors. Evidence from twin and family studies suggests that genetic factors may play an important role in its pathogenesis. Therefore, research on the genetic association of susceptibility genes can help understand the mechanism of stroke. Genome-wide association study (GWAS) has found a large number of stroke-related loci, but their mechanism is unknown. In order to explore the function of single-nucleotide polymorphisms (SNPs) at the molecular level, in this paper, we integrated 8 GWAS datasets with brain expression quantitative trait loci (eQTL) dataset to identify SNPs and genes which are related to four types of stroke (ischemic stroke, large artery stroke, cardioembolic stroke, small vessel stroke). Thirty-eight SNPs which can affect 14 genes expression are found to be associated with stroke. Among these 14 genes, 10 genes expression are associated with ischemic stroke, one gene for large artery stroke, six genes for cardioembolic stroke and eight genes for small vessel stroke. To explore the effects of environmental factors on stroke, we identified methylation susceptibility loci associated with stroke using methylation quantitative trait loci (MQTL). Thirty-one of these 38 SNPs are at greater risk of methylation and can significantly change gene expression level. Overall, the genetic pathogenesis of stroke is explored from locus to gene, gene to gene expression and gene expression to phenotype.
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Affiliation(s)
- Sheng Zhao
- Department of Radiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Huijie Jiang
- Department of Radiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zong-Hui Liang
- Department of Radiology, Jian'an District Centre Hospital of Fudan University, Shanghai, China
| | - Hong Ju
- Department of Information Engineering, Heilongjiang Biological Science and Technology Career Academy, Harbin, China
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47
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GeographicalDifference, Rural-urban Transition and Trend in Stroke Prevalence in China: Findings from a National Epidemiological Survey of Stroke in China. Sci Rep 2019; 9:17330. [PMID: 31758035 PMCID: PMC6874659 DOI: 10.1038/s41598-019-53848-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Accepted: 11/06/2019] [Indexed: 11/18/2022] Open
Abstract
Accurate and up-to-date provincial and regional-level stroke prevalence estimates are important for research planning and targeted strategies for stroke prevention and management. However, recent and comprehensive evaluation is lacking over the past 30 years in China. This study aimed to examine the geographical variations in stroke prevalence based on data from the National Epidemiological Survey of Stroke in China (NESS-China) and demonstrate urban-rural transition and trend over three decades. The stroke prevalence (prevalence day, August 31, 2013) was estimated using the world standard population. The stroke prevalence was 873.4 per 100,000 population, and varied from 218.0 in Sichuan to 1768.9 in Heilongjiang. Stroke prevalence exhibited a noticeable north-south gradient (1097.1, 917.7, and 619.4 in the north, middle, and the south, respectively; P < 0.001) and showed a 2.0-fold, 1.5-fold, and 1.2-fold increase in rural areas in the north, the middle, and the south, respectively, from 1985 to 2013. Overall, stroke prevalence was higher in the rural regions than in the urban (945.4 versus 797.5, P < 0.001) regions. However, the converse was depicted in 12 provinces. A noticeable geographical variation in stroke prevalence was observed and was evolving overtime in China. It is imperative that effective public health policies and interventions be implemented, especially in those regions with higher prevalence.
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48
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Feigin VL, Krishnamurthi R, Barker-Collo S, Barber PA, Rathnasabapathy Y, Te Ao B, Parmar P, Mahon S, Tunnage B, Swain A, Arroll B, Elder H, Tautolo ES, Parag V, Anderson C, Bennett D, Thrift AG, Cadilhac DA, Brown P, Ranta A, Douwes J. Measuring stroke and transient ischemic attack burden in New Zealand: Protocol for the fifth Auckland Regional Community Stroke Study (ARCOS V). Int J Stroke 2019; 15:573-583. [PMID: 31648621 DOI: 10.1177/1747493019884528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Aim: The goal of this paper is to provide a protocol for conducting a fifth population-based Auckland Regional Community Stroke study (ARCOS V) in New Zealand. Methods and Discussion: In this study, for the first time globally, (1) stroke and TIA burden will be determined using the currently used clinical and tissue-based definition of stroke, in addition to the WHO clinical classifications of stroke used in all previous ARCOS studies, as well as more advanced criteria recently suggested for an "ideal" population-based stroke incidence and outcomes study; and (2) age, sex, and ethnic-specific trends in stroke incidence and outcomes will be determined over the last four decades, including changes in the incidence of acute cerebrovascular events over the last decade. Furthermore, information at four time points over a 40-year period will allow the assessment of effects of recent changes such as implementation of the FAST campaign, ambulance pre-notification, and endovascular treatment. This will enable more accurate projections for health service planning and delivery. Conclusion: The methods of this study will provide a foundation for future similar population-based studies in other countries and populations.
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Affiliation(s)
- Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
| | - Rita Krishnamurthi
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
| | | | - P Alan Barber
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | | | - Braden Te Ao
- School of Population Health, University of Auckland, Auckland, New Zealand
| | - Priya Parmar
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
| | - Susan Mahon
- Department of Paramedicine, University of Auckland, Auckland, New Zealand
| | - Bronwyn Tunnage
- Department of Paramedicine, University of Auckland, Auckland, New Zealand
| | - Andrew Swain
- Department of Paramedicine, University of Auckland, Auckland, New Zealand
| | - Bruce Arroll
- School of Public Health, University of Auckland, Auckland, New Zealand
| | - Hinemoa Elder
- Brain Research New Zealand Centre of Research Excellence, Auckland, New Zealand
| | - El-Shadan Tautolo
- Centre for Pacific Health & Development Research and Pacific Islands Families, Auckland University of Technology, Auckland, New Zealand
| | - Varsha Parag
- National Institute for Health Innovation, University of Auckland, Auckland, New Zealand
| | - Craig Anderson
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Derrick Bennett
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Amanda G Thrift
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Victoria, Australia
| | - Dominique A Cadilhac
- Stroke Division, Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Victoria, Australia
| | - Paul Brown
- University of California Merced, Merced, CA, USA
| | - Annemarei Ranta
- Department of Medicine, University of Otago, Wellington, New Zealand
| | - Jeroen Douwes
- Centre for Public Health Research, Massey University, Wellington, New Zealand
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49
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Feigin V, Norrving B, Sudlow CLM, Sacco RL. Updated Criteria for Population-Based Stroke and Transient Ischemic Attack Incidence Studies for the 21st Century. Stroke 2019; 49:2248-2255. [PMID: 30355005 DOI: 10.1161/strokeaha.118.022161] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Affiliation(s)
- Valery Feigin
- From the National Institute for Stroke and Applied Neurosciences, School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences, Auckland University of Technology, New Zealand (V.F.)
| | - Bo Norrving
- Department of Clinical Sciences, Department of Neurology, Skane University Hospital, Lund University, Sweden (B.N.)
| | - Cathie L M Sudlow
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, UK Biobank, United Kingdom (C.L.M.S.)
| | - Ralph L Sacco
- Department of Neurology, McKnight Brain Institute, Clinical & Translational Science Institute, Miller School of Medicine, University of Miami, FL (R.L.S.)
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50
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Johal AS, Loftus IM, Boyle JR, Naylor AR, Waton S, Heikkila K, Cromwell DA. Changing Patterns of Carotid Endarterectomy Between 2011 and 2017 in England. Stroke 2019; 50:2461-2468. [DOI: 10.1161/strokeaha.119.025231] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose—
Carotid endarterectomy (CEA) reduces the risk of stroke in recently symptomatic patients and less so in asymptomatic patients. Recent evidence suggests that the number of CEAs may be declining. The aim of this study was to investigate annual patterns of CEA in asymptomatic and symptomatic patients in England from 2011 to 2017.
Methods—
Data from the National Vascular Registry were used to describe (1) the number of CEA procedures in England and its 9 geographic regions from 2011 to 2017, (2) the characteristics of patients undergoing CEA, and (3) whether rates of CEA correlated with the number of vascular arterial units within each region. Annual stroke incidence for each region was derived from official population figures and the number of index stroke admissions per year.
Results—
The overall number of CEAs performed in England fell from 4992 in 2011 to 3482 in 2017, a 30% decline. Among symptomatic patients, there was a 25% decline, the number of CEAs falling from 4270 to 3217. In asymptomatic patients, there were 722 CEAs performed in 2011 and 265 in 2017, a 63% decline. CEAs per 100 000 adults within all regions declined over time but the size of change varied across the regions (range, 1.7–5.5 per 100 000). The regional numbers of CEAs per year were associated with changes in the regional stroke incidence, the proportion of CEAs performed in asymptomatic patients, and the number of hospitals performing CEA.
Conclusions—
This population-based study revealed a 63% decline in CEAs among asymptomatic patients between 2011 and 2017, possibly because of changing attitudes in the role of CEA. Reasons for the 25% decline in CEAs among symptomatic patients are unclear as UK guidelines on CEA have not changed for these patients. Whether the proportion of symptomatic patients with 50% to 99% ipsilateral stenosis has changed requires investigation.
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Affiliation(s)
- Amundeep S. Johal
- From the Clinical Effectiveness Unit, The Royal College of Surgeons of England, London, United Kingdom (A.S.J., S.W., K.H., D.A.C.)
| | - Ian M. Loftus
- St George’s University Hospitals NHS Foundation Trust, London, United Kingdom (I.M.L.)
| | - Jonathan R. Boyle
- Division of Vascular and Endovascular Surgery, Addenbrooke’s Hospital, Cambridge University Hospital Trust, United Kingdom (J.R.B.)
| | - A. Ross Naylor
- The Leicester Vascular Institute, Glenfield Hospital, United Kingdom (A.R.N.)
| | - Sam Waton
- From the Clinical Effectiveness Unit, The Royal College of Surgeons of England, London, United Kingdom (A.S.J., S.W., K.H., D.A.C.)
| | - Katriina Heikkila
- From the Clinical Effectiveness Unit, The Royal College of Surgeons of England, London, United Kingdom (A.S.J., S.W., K.H., D.A.C.)
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine (K.H., D.A.C.)
| | - David A. Cromwell
- From the Clinical Effectiveness Unit, The Royal College of Surgeons of England, London, United Kingdom (A.S.J., S.W., K.H., D.A.C.)
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine (K.H., D.A.C.)
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