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Predictors of In-Hospital Mortality for Stroke in Douala, Cameroon
Background. The objective of this study was to describe complications in hospitalized patients for stroke and to determine the predictive factors of intrahospital mortality from stroke at the Douala General Hospital (DGH) in Cameroon. Patients and Methods. A prospective cross-sectional study was car...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3956409/ https://www.ncbi.nlm.nih.gov/pubmed/24724038 http://dx.doi.org/10.1155/2014/681209 |
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author | Mapoure, N. Y. Tchaleu Nguenkam, C. B. Mbatchou Ngahane, H. B. Dzudie, A. Coulibaly, A. Mounjouopou, N. G. Vaissaba, E. Luma, N. H. Mouelle, S. A. Njamnshi, A. K. |
author_facet | Mapoure, N. Y. Tchaleu Nguenkam, C. B. Mbatchou Ngahane, H. B. Dzudie, A. Coulibaly, A. Mounjouopou, N. G. Vaissaba, E. Luma, N. H. Mouelle, S. A. Njamnshi, A. K. |
author_sort | Mapoure, N. Y. |
collection | PubMed |
description | Background. The objective of this study was to describe complications in hospitalized patients for stroke and to determine the predictive factors of intrahospital mortality from stroke at the Douala General Hospital (DGH) in Cameroon. Patients and Methods. A prospective cross-sectional study was carried out from January 1, 2010 to December 31, 2012, at the DGH. All the patients who were aged more than 15 years with established diagnosis of stroke were included. A univariate analysis was done to look for factors associated with the risk of death, whilst the predictive factors of death were determined in a multivariate analysis following Cox regression model. Results. Of the 325 patients included patients, 68.1% were males and the mean age was 58.66 ± 13.6 years. Ischaemic stroke accounted for 52% of the cases. Sepsis was the leading complications present in 99 (30.12%) cases. Independent predicting factors of in-hospital mortality were Glasgow Coma Scale lower than 8 (HR = 2.17 95% CI 4.86–36.8; P = 0.0001), hyperglycaemia at admission (HR = 3.61 95% CI 1.38–9.44; P = 0.009), and hemorrhagic stroke (HR = 5.65 95% CI 1.77–18; P = 0.003). Conclusion. The clinician should systematically diagnose and treat infectious states and hyperglycaemia in stroke. |
format | Online Article Text |
id | pubmed-3956409 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-39564092014-04-10 Predictors of In-Hospital Mortality for Stroke in Douala, Cameroon Mapoure, N. Y. Tchaleu Nguenkam, C. B. Mbatchou Ngahane, H. B. Dzudie, A. Coulibaly, A. Mounjouopou, N. G. Vaissaba, E. Luma, N. H. Mouelle, S. A. Njamnshi, A. K. Stroke Res Treat Research Article Background. The objective of this study was to describe complications in hospitalized patients for stroke and to determine the predictive factors of intrahospital mortality from stroke at the Douala General Hospital (DGH) in Cameroon. Patients and Methods. A prospective cross-sectional study was carried out from January 1, 2010 to December 31, 2012, at the DGH. All the patients who were aged more than 15 years with established diagnosis of stroke were included. A univariate analysis was done to look for factors associated with the risk of death, whilst the predictive factors of death were determined in a multivariate analysis following Cox regression model. Results. Of the 325 patients included patients, 68.1% were males and the mean age was 58.66 ± 13.6 years. Ischaemic stroke accounted for 52% of the cases. Sepsis was the leading complications present in 99 (30.12%) cases. Independent predicting factors of in-hospital mortality were Glasgow Coma Scale lower than 8 (HR = 2.17 95% CI 4.86–36.8; P = 0.0001), hyperglycaemia at admission (HR = 3.61 95% CI 1.38–9.44; P = 0.009), and hemorrhagic stroke (HR = 5.65 95% CI 1.77–18; P = 0.003). Conclusion. The clinician should systematically diagnose and treat infectious states and hyperglycaemia in stroke. Hindawi Publishing Corporation 2014 2014-02-25 /pmc/articles/PMC3956409/ /pubmed/24724038 http://dx.doi.org/10.1155/2014/681209 Text en Copyright © 2014 N. Y. Mapoure et al. https://creativecommons.org/licenses/by/3.0/ 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 | Research Article Mapoure, N. Y. Tchaleu Nguenkam, C. B. Mbatchou Ngahane, H. B. Dzudie, A. Coulibaly, A. Mounjouopou, N. G. Vaissaba, E. Luma, N. H. Mouelle, S. A. Njamnshi, A. K. Predictors of In-Hospital Mortality for Stroke in Douala, Cameroon |
title | Predictors of In-Hospital Mortality for Stroke in Douala, Cameroon |
title_full | Predictors of In-Hospital Mortality for Stroke in Douala, Cameroon |
title_fullStr | Predictors of In-Hospital Mortality for Stroke in Douala, Cameroon |
title_full_unstemmed | Predictors of In-Hospital Mortality for Stroke in Douala, Cameroon |
title_short | Predictors of In-Hospital Mortality for Stroke in Douala, Cameroon |
title_sort | predictors of in-hospital mortality for stroke in douala, cameroon |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3956409/ https://www.ncbi.nlm.nih.gov/pubmed/24724038 http://dx.doi.org/10.1155/2014/681209 |
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