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The Survival Status and Predictors of Mortality Among Stroke Patients at North West Ethiopia

INTRODUCTION: Stroke is one of the commonest non-communicable disease types that has a great public health impact both in developed and developing countries. However, in Ethiopia, the long-term survival status of stroke patients is not very understood. This study aimed at assessing survival status a...

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Autores principales: Walelgn, Nigusie, Abyu, Gebre Yitayih, Seyoum, Yeshaneh, Habtegiorgis, Samuel Derbie, Birhanu, Molla Yigzaw
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8286726/
https://www.ncbi.nlm.nih.gov/pubmed/34285612
http://dx.doi.org/10.2147/RMHP.S322001
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author Walelgn, Nigusie
Abyu, Gebre Yitayih
Seyoum, Yeshaneh
Habtegiorgis, Samuel Derbie
Birhanu, Molla Yigzaw
author_facet Walelgn, Nigusie
Abyu, Gebre Yitayih
Seyoum, Yeshaneh
Habtegiorgis, Samuel Derbie
Birhanu, Molla Yigzaw
author_sort Walelgn, Nigusie
collection PubMed
description INTRODUCTION: Stroke is one of the commonest non-communicable disease types that has a great public health impact both in developed and developing countries. However, in Ethiopia, the long-term survival status of stroke patients is not very understood. This study aimed at assessing survival status and predictors of mortality among stroke patients at Felege Hiwot comprehensive specialized hospital from September 1, 2014, to August 31, 2019, Bahirdar, North West Ethiopia. METHODS: An institutional-based retrospective cohort study was conducted using 368 registered stroke patients between September 1, 2014, and August 31, 2019. We used Kaplan–Meier together with a Log-rank test to compare the survival rate of the study participants using categorical variables and to compare covariate and both bi-variable and multivariable Cox proportional hazards regression analysis model was conducted to identify predictors of mortality among stroke patients. The association between outcome and independent variables was expressed using an adjusted hazard ratio (AHR) with a 95% confidence interval and statistical significances were declared at P-value of <0.05. RESULTS: Fifty-six (15.2%) of the 368 stroke patients included in the study died, and 312 (84.8%) were correctly censored. The overall survival rate was 72.2% at 51 months of follow-up with a median survival time of 0.26 months. Age greater than 65 (AHR 6.31, 95% CI 1.75–22.74), body temperature >7.1 degree centigrade (AHR = 7.14, 95% CI: 2.76–18.5), potassium level below <2 mmol/l (AHR = 2, 95% CI: 1.9–23.53) and creatinine level >1.2 mg/dl (AHR = 7.85, 95% CI: 2.7–22.6) were predictive predictors of mortality. CONCLUSIONS: In the follow-up of 51 months, significant mortality occurred. Important predictive predictors of survival status were identified. Interventions should be focused on health education and awareness creation of the community for the early management of stroke.
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spelling pubmed-82867262021-07-19 The Survival Status and Predictors of Mortality Among Stroke Patients at North West Ethiopia Walelgn, Nigusie Abyu, Gebre Yitayih Seyoum, Yeshaneh Habtegiorgis, Samuel Derbie Birhanu, Molla Yigzaw Risk Manag Healthc Policy Original Research INTRODUCTION: Stroke is one of the commonest non-communicable disease types that has a great public health impact both in developed and developing countries. However, in Ethiopia, the long-term survival status of stroke patients is not very understood. This study aimed at assessing survival status and predictors of mortality among stroke patients at Felege Hiwot comprehensive specialized hospital from September 1, 2014, to August 31, 2019, Bahirdar, North West Ethiopia. METHODS: An institutional-based retrospective cohort study was conducted using 368 registered stroke patients between September 1, 2014, and August 31, 2019. We used Kaplan–Meier together with a Log-rank test to compare the survival rate of the study participants using categorical variables and to compare covariate and both bi-variable and multivariable Cox proportional hazards regression analysis model was conducted to identify predictors of mortality among stroke patients. The association between outcome and independent variables was expressed using an adjusted hazard ratio (AHR) with a 95% confidence interval and statistical significances were declared at P-value of <0.05. RESULTS: Fifty-six (15.2%) of the 368 stroke patients included in the study died, and 312 (84.8%) were correctly censored. The overall survival rate was 72.2% at 51 months of follow-up with a median survival time of 0.26 months. Age greater than 65 (AHR 6.31, 95% CI 1.75–22.74), body temperature >7.1 degree centigrade (AHR = 7.14, 95% CI: 2.76–18.5), potassium level below <2 mmol/l (AHR = 2, 95% CI: 1.9–23.53) and creatinine level >1.2 mg/dl (AHR = 7.85, 95% CI: 2.7–22.6) were predictive predictors of mortality. CONCLUSIONS: In the follow-up of 51 months, significant mortality occurred. Important predictive predictors of survival status were identified. Interventions should be focused on health education and awareness creation of the community for the early management of stroke. Dove 2021-07-14 /pmc/articles/PMC8286726/ /pubmed/34285612 http://dx.doi.org/10.2147/RMHP.S322001 Text en © 2021 Walelgn et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Walelgn, Nigusie
Abyu, Gebre Yitayih
Seyoum, Yeshaneh
Habtegiorgis, Samuel Derbie
Birhanu, Molla Yigzaw
The Survival Status and Predictors of Mortality Among Stroke Patients at North West Ethiopia
title The Survival Status and Predictors of Mortality Among Stroke Patients at North West Ethiopia
title_full The Survival Status and Predictors of Mortality Among Stroke Patients at North West Ethiopia
title_fullStr The Survival Status and Predictors of Mortality Among Stroke Patients at North West Ethiopia
title_full_unstemmed The Survival Status and Predictors of Mortality Among Stroke Patients at North West Ethiopia
title_short The Survival Status and Predictors of Mortality Among Stroke Patients at North West Ethiopia
title_sort survival status and predictors of mortality among stroke patients at north west ethiopia
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8286726/
https://www.ncbi.nlm.nih.gov/pubmed/34285612
http://dx.doi.org/10.2147/RMHP.S322001
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