ArticleStroke research and treatment2022
Determinants of Stroke Mortality through Survival Models: The Case of Mettu Karl Referral Hospital, Mettu, Ethiopia.
Article in Stroke research and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Factors Associated With Mortality Among Adult Hemorrhagic Stroke Patients in Public Hospitals in the Harari Region, Eastern Ethiopia: A Retrospective Hospital-Based Cohort Study.Stroke research and treatment · 2026Article
- Mortality rate and predictors among stroke patients in the public hospitals in Harari region, Eastern Ethiopia.PLOS global public health · 2025Article
- Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia.European journal of medical research · 2024Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionEvery year worldwide, between five to six million deaths are associated with stroke; on average, one stroke-related death occurs every four minutes. In Ethiopia, stroke is a frequent cause of mortality and morbidity from noncommunicable diseases. Therefore, this study was aimed at determining factors associated to stroke mortality through survival models in Mettu Karl Referral Hospital.
methodsThis study was conducted from September 1, 2014, to April 1, 2017, and encompassed 202 stroke patients at Mettu Karl Referral Hospital. The Cox semiparametric regression was used for analyzing survival analysis of stroke patients using R software.
resultsA total of 202 stroke patients were included in the study, and among those patients, 72.8% and 27.2% were censored and died, respectively. According to the result of Cox semiparametric regression model, sex of patients, hypertension, baseline complication, and stroke type had significant effect on survival of the stroke patient at 5% significance level.
conclusionThe results from Cox semiparametric regression model indicated that sex of patients, hypertension, baseline complication, and stroke type were major factors related to the survival time of stroke patients. The researcher recommends that the people should be aware on the burden of those risk factors and well informed about the disease.
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Registered trials
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