دورية أكاديمية
أعرض في EDS

Determinants of Stroke Mortality through Survival Models: The Case of Mettu Karl Referral Hospital, Mettu, Ethiopia.

التفاصيل البيبلوغرافية
العنوان: Determinants of Stroke Mortality through Survival Models: The Case of Mettu Karl Referral Hospital, Mettu, Ethiopia.
المؤلفون: Ababu DG; Department of Statistics, Faculty of Natural & Computational Science, Mettu University, Ethiopia., Getahun AM; Department of Statistics, Faculty of Natural & Computational Science, Mettu University, Ethiopia.
المصدر: Stroke research and treatment [Stroke Res Treat] 2022 Feb 11; Vol. 2022, pp. 9985127. Date of Electronic Publication: 2022 Feb 11 (Print Publication: 2022).
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Hindawi Country of Publication: United States NLM ID: 101529024 Publication Model: eCollection Cited Medium: Print ISSN: 2090-8105 (Print) NLM ISO Abbreviation: Stroke Res Treat Subsets: PubMed not MEDLINE
أسماء مطبوعة: Publication: 2011- : New York : Hindawi
Original Publication: London : Sage-Hindawi Access to Research
مستخلص: Introduction: Every 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.
Methods: This 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.
Results: A 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.
Conclusion: The 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.
Competing Interests: The authors declare that there is no competing interest.
(Copyright © 2022 Dereje Gebeyehu Ababu and Azmeraw Misganaw Getahun.)
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تواريخ الأحداث: Date Created: 20220221 Latest Revision: 20220501
رمز التحديث: 20240829
مُعرف محوري في PubMed: PMC8856786
DOI: 10.1155/2022/9985127
PMID: 35186250
قاعدة البيانات: MEDLINE
الوصف
تدمد:2090-8105
DOI:10.1155/2022/9985127