• Ermiyas Wondimagegn Nigussie, Eyob Girma Abera, and WoldemariamMaekel BelayMBDepartment of Internal Medicine, Jimma University, Jimma, Oromia, Ethiopia..
• Department of Internal Medicine, Jimma University, Jimma, Oromia, Ethiopia.
• Medicine (Baltimore). 2024 Jul 26; 103 (30): e39140e39140.

AbstractStroke, a leading global cause of mortality and neurological impairment, is often complicated by renal failure, exacerbating in-hospital risks and mortality. Limited understanding exists regarding renal failure prevalence in Ethiopian acute stroke patients. This study examines renal function abnormalities in acute stroke patients at Jimma Medical Center (JMC). A hospital-based cross-sectional study was conducted at JMC from December 5, 2023, to March 15, 2024. A structured data collection tool was developed after comprehensive review of pertinent literature, encompassing variables pertinent to the study objectives. Following data quality assurance, information was coded and inputted into EpiData version 3.1, subsequently analyzed using Statistical Package for Social Sciences (SPSS) version 26.0. Multivariable logistic regression analysis was performed to adjust for confounding variables, with statistical significance set at P < .05. The mean age of participants was 60.5 ± 15.5 years, with 129 (64.5%) being male. Forty-five participants (22.5%, 95% confidence interval [CI] = 16.9, 28.9) exhibited renal dysfunction. Advanced age (≥70 years), hypertension, diabetes mellitus (DM), cardiac disease, history of transient ischemic attack (TIA)/stroke, and hemorrhagic stroke type were identified as significant predictors of renal dysfunction among hospitalized stroke patients. The mortality rate was 3.7 times higher in stroke patients with renal dysfunction compared to those with normal renal function (adjusted odds ratio [AOR] = 3.7, 95% CI: 1.41, 6.22). Renal function abnormalities were prevalent among hospitalized acute stroke patients, emphasizing the significance of renal dysfunction as a frequent comorbidity. Older age, hypertension, DM, cardiac disease, history of TIA/stroke, and hemorrhagic stroke type emerged as statistically significant predictors of renal dysfunction. Furthermore, renal dysfunction was identified as a significant predictor of in-hospital mortality following stroke.Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.

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