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Demographics, socio-economic characteristics, and risk factor prevalence in patients with non-cardioembolic ischaemic stroke in low- and middle-income countries: The OPTIC registry

Show simple item record Abboud H. Labreuche J. Arauz A. Bryer A. Lavados P.G. Massaro A. Munoz Collazos M. Steg P.G. Yamout B.I. Vicaut E. Amarenco P.
dc.contributor.editor 2013 2017-10-05T15:38:22Z 2017-10-05T15:38:22Z 2013
dc.identifier 10.1111/j.1747-4949.2012.00893.x
dc.identifier.issn 17474930
dc.description.abstract Background: There is a paucity of data on patients with stroke-transient ischaemic attack in low- and middle-income countries. We sought to describe the characteristics and management of patients with an ischaemic stroke and recent transient ischaemic attack or minor ischaemic strokes in low- or middle-income countries. Methods: The Outcomes in Patients with TIA and Cerebrovascular disease registry is an international, prospective study. Patients ≥45 years who required secondary prevention of stroke (either following an acute transient ischaemic attack or minor ischaemic strokes (National Institutes of Health Stroke Scale 4) of 24h duration, or recent (6 months), stable, first-ever, non-disabling ischaemic stroke) were enrolled in 17 countries in Latin America, the Middle East, and Africa. The main measures of interest were risk factors, comorbidities, and socio-economic variables. Results: Between January 2007 and December 2008, 3635 patients were enrolled in Latin America (n=1543), the Middle East (n=1041), North Africa (n=834), and South Africa (n=217). Of these, 63percent had a stable, first-ever ischaemic stroke (median delay from symptom onset to inclusion, 25 days interquartile range, 7-77); 37percent had an acute transient ischaemic attack or minor ischaemic stroke (median delay, two-days; interquartile range, 0-6). Prevalence of diabetes was 46percent in the Middle East, 29percent in Latin America, 35percent in South Africa, and 38percent in North Africa; 72percent had abdominal obesity (range, 65-78percent; adjusted P0·001); prevalence of metabolic syndrome was 78percent (range, 72-84percent, P0·001). Abnormal ankle brachial index (0·9) was present in 22percent, peripheral artery disease in 7·6percent, and coronary artery disease in 13percent. Overall, 24percent of patients had no health insurance and 27percent had a low educational level. Interpretation: In this study, patients in low- and middle-income countries had a high burden of modifiable risk factors. High rates of low educational level and lack of health insurance in certain regions are potential obstacles to risk factor control. Funding: The Outcomes in Patients with TIA and Cerebrovascular disease registry is supported by Sanofi-Aventis, Paris, France. © 2012 World Stroke Organization.
dc.format.extent Pages: (4-13)
dc.language English
dc.publisher HOBOKEN
dc.relation.ispartof Publication Name: International Journal of Stroke; Publication Year: 2013; Volume: 8; special issue SI; suppl. A100; Pages: (4-13);
dc.source Scopus
dc.title Demographics, socio-economic characteristics, and risk factor prevalence in patients with non-cardioembolic ischaemic stroke in low- and middle-income countries: The OPTIC registry
dc.type Article
dc.contributor.affiliation Abboud, H., Hotel Dieu de France, Saint Joseph University, Beirut, Lebanon, Department of Neurology and Stroke Center, Bichat University Hospital, Paris, France
dc.contributor.affiliation Labreuche, J., Department of Neurology and Stroke Center, Bichat University Hospital, Paris, France, INSERM U-698 and Paris-Diderot University, Paris, France
dc.contributor.affiliation Arauz, A., National Institute of Neurology, Mexico
dc.contributor.affiliation Bryer, A., Division of Neurology and Stroke Unit, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa
dc.contributor.affiliation Lavados, P.G., Neurology Service, Department of Medicine, Clinica Alemana de Santiago, Universidad del Desarrollo and Department of Neurological Sciences, Universidad de Chile, Santiago, Chile
dc.contributor.affiliation Massaro, A., Neurologia, São Paolo, Brazil
dc.contributor.affiliation Munoz Collazos, M., Neurologia, Clinica de Marly, Bogota, DC, Colombia
dc.contributor.affiliation Steg, P.G., INSERM U-698 and Paris-Diderot University, Paris, France, Department of Cardiology, Bichat University Hospital, Paris, France
dc.contributor.affiliation Yamout, B.I., Department of Neurology, American University of Beirut Medical Center, Beirut, Lebanon
dc.contributor.affiliation Vicaut, E., Department of Biostatistics, Fernand Widal Hospital, Paris-Diderot University - Paris VII, Paris, France
dc.contributor.affiliation Amarenco, P., Department of Neurology and Stroke Center, Bichat University Hospital, Paris, France, INSERM U-698 and Paris-Diderot University, Paris, France
dc.contributor.authorAddress Amarenco, P.; Department of Neurology and Stroke Center, Bichat University Hospital, 46 rue Henri Huchard, 75018 Paris, France; email:
dc.contributor.authorCorporate University: American University of Beirut Medical Center; Faculty: Faculty of Medicine; Department: Internal Medicine; Division: Neurology;
dc.contributor.authorDepartment Internal Medicine
dc.contributor.authorDivision Neurology
dc.contributor.authorFaculty Faculty of Medicine
dc.contributor.authorInitials Abboud, H
dc.contributor.authorInitials Labreuche, J
dc.contributor.authorInitials Arauz, A
dc.contributor.authorInitials Bryer, A
dc.contributor.authorInitials Lavados, PG
dc.contributor.authorInitials Massaro, A
dc.contributor.authorInitials Collazos, MM
dc.contributor.authorInitials Steg, PG
dc.contributor.authorInitials Yamout, BI
dc.contributor.authorInitials Vicaut, E
dc.contributor.authorInitials Amarenco, P
dc.contributor.authorReprintAddress Amarenco, P (reprint author), Hop Xavier Bichat, Dept Neurol, 46 Rue Henri Huchard, F-75018 Paris, France.
dc.contributor.authorUniversity American University of Beirut Medical Center
dc.description.cited ADAMS HP, 1993, STROKE, V24, P35, DOI 10.1161-01.STR.24.1.35; Alberti KGMM, 2009, CIRCULATION, V120, P1640, DOI 10.1161-CIRCULATIONAHA.109.192644; Bhatt DL, 2006, JAMA-J AM MED ASSOC, V295, P180, DOI 10.1001-jama.295.2.180; Feigin VL, 2009, LANCET NEUROL, V8, P355, DOI 10.1016-S1474-4422(09)70025-0; Johnston SC, 2009, LANCET NEUROL, V8, P345, DOI 10.1016-S1474-4422(09)70023-7; Lavados PM, 2005, LANCET, V365, P2206, DOI 10.1016-S0140-6736(05)66779-7; National Cholesterol Education Program, 1994, CIRCULATION, V89, P1333; O'Donnell MJ, 2010, LANCET, V376, P112, DOI 10.1016-S0140-6736(10)60834-3; RATANAKORN D, 2011, J STROKE CEREBROVASC, DOI DOI 10.1016-J.JSTR0KECEREBR0VASDIS.2010.11.011; Rother J, 2008, CEREBROVASC DIS, V25, P366, DOI 10.1159-000120687; Strong K, 2007, LANCET NEUROL, V6, P182, DOI 10.1016-S1474-4422(07)70031-5; *WORLD BANK, WORLD DEV IND WD; Yusuf S, 2011, LANCET, V378, P1231, DOI 10.1016-S0140-6736(11)61215-4
dc.description.citedCount 1
dc.description.citedTotWOSCount 3
dc.description.citedWOSCount 3
dc.format.extentCount 10
dc.identifier.pubmedID 22974118
dc.identifier.scopusID 84886292368
dc.publisher.address 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
dc.relation.ispartOfISOAbbr Int. J. Stroke
dc.relation.ispartofPubTitle International Journal of Stroke
dc.relation.ispartofPubTitleAbbr Int. J. Stroke
dc.relation.ispartOfSpecialIssue SI
dc.relation.ispartOfSuppl A100
dc.relation.ispartOfVolume 8
dc.source.ID WOS:000328729500003
dc.type.publication Journal
dc.subject.otherAuthKeyword Developing countries
dc.subject.otherAuthKeyword Epidemiology
dc.subject.otherAuthKeyword Prevention
dc.subject.otherAuthKeyword Risk factors
dc.subject.otherAuthKeyword Socio-economic factors
dc.subject.otherAuthKeyword Stroke
dc.subject.otherChemCAS creatinine, 19230-81-0, 60-27-5
dc.subject.otherChemCAS hemoglobin A1c, 62572-11-6
dc.subject.otherIndex antidiabetic agent
dc.subject.otherIndex antithrombocytic agent
dc.subject.otherIndex creatinine
dc.subject.otherIndex hemoglobin A1c
dc.subject.otherIndex high density lipoprotein cholesterol
dc.subject.otherIndex low density lipoprotein cholesterol
dc.subject.otherIndex triacylglycerol
dc.subject.otherIndex abdominal aorta aneurysm
dc.subject.otherIndex abdominal obesity
dc.subject.otherIndex Africa
dc.subject.otherIndex alcohol consumption
dc.subject.otherIndex ankle brachial index
dc.subject.otherIndex aorta valve stenosis
dc.subject.otherIndex article
dc.subject.otherIndex blood pressure
dc.subject.otherIndex blood pressure measurement
dc.subject.otherIndex body mass
dc.subject.otherIndex brain ischemia
dc.subject.otherIndex cerebrovascular accident
dc.subject.otherIndex cholesterol blood level
dc.subject.otherIndex comorbidity
dc.subject.otherIndex congestive heart failure
dc.subject.otherIndex coronary artery disease
dc.subject.otherIndex creatinine blood level
dc.subject.otherIndex cycling
dc.subject.otherIndex demography
dc.subject.otherIndex diabetes mellitus
dc.subject.otherIndex diastolic blood pressure
dc.subject.otherIndex disease duration
dc.subject.otherIndex disease registry
dc.subject.otherIndex educational status
dc.subject.otherIndex elevated blood pressure
dc.subject.otherIndex employment status
dc.subject.otherIndex exercise
dc.subject.otherIndex follow up
dc.subject.otherIndex glucose blood level
dc.subject.otherIndex heart infarction
dc.subject.otherIndex hospital discharge
dc.subject.otherIndex hyperglycemia
dc.subject.otherIndex hypertension
dc.subject.otherIndex influenza vaccination
dc.subject.otherIndex lowest income group
dc.subject.otherIndex medical care
dc.subject.otherIndex medical history
dc.subject.otherIndex metabolic syndrome X
dc.subject.otherIndex Middle East
dc.subject.otherIndex North Africa
dc.subject.otherIndex outcome assessment
dc.subject.otherIndex patient care
dc.subject.otherIndex peripheral occlusive artery disease
dc.subject.otherIndex physical activity
dc.subject.otherIndex prevalence
dc.subject.otherIndex priority journal
dc.subject.otherIndex private health insurance
dc.subject.otherIndex prospective study
dc.subject.otherIndex risk assessment
dc.subject.otherIndex risk factor
dc.subject.otherIndex secondary prevention
dc.subject.otherIndex smoking habit
dc.subject.otherIndex social status
dc.subject.otherIndex South Africa
dc.subject.otherIndex South and Central America
dc.subject.otherIndex symptom
dc.subject.otherIndex systolic blood pressure
dc.subject.otherIndex transient ischemic attack
dc.subject.otherIndex waist circumference
dc.subject.otherIndex developing countries
dc.subject.otherIndex epidemiology
dc.subject.otherIndex prevention
dc.subject.otherIndex risk factors
dc.subject.otherIndex socio-economic factors
dc.subject.otherIndex stroke
dc.subject.otherIndex Africa
dc.subject.otherIndex Aged
dc.subject.otherIndex Coronary Artery Disease
dc.subject.otherIndex Developing Countries
dc.subject.otherIndex Diabetes Mellitus
dc.subject.otherIndex Educational Status
dc.subject.otherIndex Female
dc.subject.otherIndex Humans
dc.subject.otherIndex Insurance Coverage
dc.subject.otherIndex Ischemic Attack, Transient
dc.subject.otherIndex Latin America
dc.subject.otherIndex Male
dc.subject.otherIndex Metabolic Syndrome X
dc.subject.otherIndex Middle Aged
dc.subject.otherIndex Middle East
dc.subject.otherIndex Obesity, Abdominal
dc.subject.otherIndex Peripheral Arterial Disease
dc.subject.otherIndex Prevalence
dc.subject.otherIndex Prospective Studies
dc.subject.otherIndex Registries
dc.subject.otherIndex Residence Characteristics
dc.subject.otherIndex Risk Factors
dc.subject.otherIndex Socioeconomic Factors
dc.subject.otherIndex Stroke
dc.subject.otherKeywordPlus COMMUNITY
dc.subject.otherWOS Peripheral Vascular Disease

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