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...
Autores principales: | , , , , , , , |
---|---|
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 |