Cargando…

Risk Factors for Hemorrhagic and Ischemic Stroke in Sub-Saharan Africa

INTRODUCTION: In sub-Saharan Africa (SSA), there is a significant burden of ischemic stroke (IS) and hemorrhagic stroke (HS), although data on risk factors for each type are sparse. In this systematic review we attempt to characterize the risk factors. METHODS: We systematically reviewed (PubMed, EM...

Descripción completa

Detalles Bibliográficos
Autores principales: Namale, Gertrude, Kamacooko, Onesmus, Kinengyere, Alison, Yperzeele, Laetitia, Cras, Patrick, Ddumba, Edward, Seeley, Janet, Newton, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6000918/
https://www.ncbi.nlm.nih.gov/pubmed/29955233
http://dx.doi.org/10.1155/2018/4650851
_version_ 1783331862996844544
author Namale, Gertrude
Kamacooko, Onesmus
Kinengyere, Alison
Yperzeele, Laetitia
Cras, Patrick
Ddumba, Edward
Seeley, Janet
Newton, Robert
author_facet Namale, Gertrude
Kamacooko, Onesmus
Kinengyere, Alison
Yperzeele, Laetitia
Cras, Patrick
Ddumba, Edward
Seeley, Janet
Newton, Robert
author_sort Namale, Gertrude
collection PubMed
description INTRODUCTION: In sub-Saharan Africa (SSA), there is a significant burden of ischemic stroke (IS) and hemorrhagic stroke (HS), although data on risk factors for each type are sparse. In this systematic review we attempt to characterize the risk factors. METHODS: We systematically reviewed (PubMed, EMBASE, WHOLIS, Google Scholar, Wiley online, and the Cochrane Central Register of Controlled Trials (CENTRAL)) case-control studies and case series from 1980 to 2016 that reported risk factors for IS and/or HS in SSA. For each risk factor we calculated random-effects pooled odds ratios (ORs) for case-control studies and pooled prevalence estimates for case series. Results. We identified 12 studies, including 4,387 stroke patients. Pooled analysis showed that patients who had diabetes (OR = 2.39; 95% CI: 1.14–5.03) and HIV (OR = 2.46 (95% CI: 1.59–3.81) were at a significantly greater risk of suffering from all stroke types. There were insufficient data to examine these factors by stroke type. Among case series, the pooled prevalence of hypertension was higher for HS than for IS (73.5% versus 62.8%), while diabetes mellitus (DM) and atrial fibrillation (AF) were more prevalent among IS compared to HS (15.9% versus 10.6% and 9.6% versus 2.3%, respectively). CONCLUSIONS: There remain too few data from SSA to reliably estimate the effect of various factors on the risk of IS and HS. Furthermore, the vast majority of cases were identified in hospital and so are unlikely to be representative of the totality of stroke cases in the community.
format Online
Article
Text
id pubmed-6000918
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-60009182018-06-28 Risk Factors for Hemorrhagic and Ischemic Stroke in Sub-Saharan Africa Namale, Gertrude Kamacooko, Onesmus Kinengyere, Alison Yperzeele, Laetitia Cras, Patrick Ddumba, Edward Seeley, Janet Newton, Robert J Trop Med Review Article INTRODUCTION: In sub-Saharan Africa (SSA), there is a significant burden of ischemic stroke (IS) and hemorrhagic stroke (HS), although data on risk factors for each type are sparse. In this systematic review we attempt to characterize the risk factors. METHODS: We systematically reviewed (PubMed, EMBASE, WHOLIS, Google Scholar, Wiley online, and the Cochrane Central Register of Controlled Trials (CENTRAL)) case-control studies and case series from 1980 to 2016 that reported risk factors for IS and/or HS in SSA. For each risk factor we calculated random-effects pooled odds ratios (ORs) for case-control studies and pooled prevalence estimates for case series. Results. We identified 12 studies, including 4,387 stroke patients. Pooled analysis showed that patients who had diabetes (OR = 2.39; 95% CI: 1.14–5.03) and HIV (OR = 2.46 (95% CI: 1.59–3.81) were at a significantly greater risk of suffering from all stroke types. There were insufficient data to examine these factors by stroke type. Among case series, the pooled prevalence of hypertension was higher for HS than for IS (73.5% versus 62.8%), while diabetes mellitus (DM) and atrial fibrillation (AF) were more prevalent among IS compared to HS (15.9% versus 10.6% and 9.6% versus 2.3%, respectively). CONCLUSIONS: There remain too few data from SSA to reliably estimate the effect of various factors on the risk of IS and HS. Furthermore, the vast majority of cases were identified in hospital and so are unlikely to be representative of the totality of stroke cases in the community. Hindawi 2018-05-31 /pmc/articles/PMC6000918/ /pubmed/29955233 http://dx.doi.org/10.1155/2018/4650851 Text en Copyright © 2018 Gertrude Namale et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Namale, Gertrude
Kamacooko, Onesmus
Kinengyere, Alison
Yperzeele, Laetitia
Cras, Patrick
Ddumba, Edward
Seeley, Janet
Newton, Robert
Risk Factors for Hemorrhagic and Ischemic Stroke in Sub-Saharan Africa
title Risk Factors for Hemorrhagic and Ischemic Stroke in Sub-Saharan Africa
title_full Risk Factors for Hemorrhagic and Ischemic Stroke in Sub-Saharan Africa
title_fullStr Risk Factors for Hemorrhagic and Ischemic Stroke in Sub-Saharan Africa
title_full_unstemmed Risk Factors for Hemorrhagic and Ischemic Stroke in Sub-Saharan Africa
title_short Risk Factors for Hemorrhagic and Ischemic Stroke in Sub-Saharan Africa
title_sort risk factors for hemorrhagic and ischemic stroke in sub-saharan africa
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6000918/
https://www.ncbi.nlm.nih.gov/pubmed/29955233
http://dx.doi.org/10.1155/2018/4650851
work_keys_str_mv AT namalegertrude riskfactorsforhemorrhagicandischemicstrokeinsubsaharanafrica
AT kamacookoonesmus riskfactorsforhemorrhagicandischemicstrokeinsubsaharanafrica
AT kinengyerealison riskfactorsforhemorrhagicandischemicstrokeinsubsaharanafrica
AT yperzeelelaetitia riskfactorsforhemorrhagicandischemicstrokeinsubsaharanafrica
AT craspatrick riskfactorsforhemorrhagicandischemicstrokeinsubsaharanafrica
AT ddumbaedward riskfactorsforhemorrhagicandischemicstrokeinsubsaharanafrica
AT seeleyjanet riskfactorsforhemorrhagicandischemicstrokeinsubsaharanafrica
AT newtonrobert riskfactorsforhemorrhagicandischemicstrokeinsubsaharanafrica