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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Published in:Risk management and healthcare policy 2021-01, Vol.14, p.2983-2994
Main Authors: Walelgn, Nigusie, Abyu, Gebre Yitayih, Seyoum, Yeshaneh, Habtegiorgis, Samuel Derbie, Birhanu, Molla Yigzaw
Format: Article
Language:English
Subjects:
Blood
Body temperature
Brain research
Creatinine
Developing countries
Ethiopia
Hospitals
LDCs
Medical prognosis
Medical records
Medical research
Medicine, Experimental
Mortality
Nursing care
Original Research
Patients
predictors
Public health
Regression analysis
Sample size
Stroke
Stroke patients
Sub-Saharan Africa
Survival
survival status
Variables
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Summary: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 7.1 degree centigrade (AHR = 7.14, 95% CI: 2.76-18.5), potassium level below 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. Keywords: stroke, survival status, predictors, mortality, Ethiopia
ISSN:1179-1594
1179-1594
DOI:10.2147/RMHP.S322001