Background: Stroke is a major public health and clinical problem that represents the third leading cause of disease worldwide among adult non-communicable diseases. Stroke in the developing world is becoming a leading cause of death from infectious diseases that affects mainly adults and adult disability. Ischemic stroke is the most common form of strokes approximately about 80%-85% of all strokes in nature. Subjects and Methods: A retrospective cohort study was conducted at the Felege-Hiwot Referral Hospital among 232 ischemic stroke patients who started treatment between September 2014 and August 2016. Information on relevant variables was collected from adult ischemic stroke patients paper based medical cards and registries. The Kaplan-Meier survival curves and log-rank test used to compare the survival time of different category of predictors, and Cox's regression model employed to identify the effect of covariates on the survival time of ischemic stroke patients. Results: A total of 232 adult ischemic stroke, patients were included in the study. Out of the total 232 individuals, 69(29.74%) died and the remaining 163(70.26%) were censored at the end of follow-up period. Based on Cox proportional hazards regression model, age (AHR =1.015, CI: 1.001-1.0304), diabetes (AHR=0.353, CI: 0.1938-0.643), hypertension (AHR =0.607, 95% CI:1.003-1.0053), structural heart disease (AHR =2.231, 95% CI: 1.158-4.593), and history of previous ischemic stroke(AHR=1.84, 95% CI: 1.088-3.113) were significantly associated with the mortality of adult ischemic stroke patients. Conclusion: Based on the Cox Proportional Hazards regression model the following prognostic factors, age, diabetes, hypertension, structural heart disease, fibrillation, and history of previous ischemic stroke were the risk factors for survival time of ischemic stroke patients.
Background: Hypertension is a major public health problem that is responsible for morbidity and mortality. In Ethiopia hypertension is becoming a double burden due to urbanization. The study aimed to identify factors that affect time-to-recovery from hypertension at Felege Hiwot Referral Hospital. Retrospective study design was used at FHRH. Methods: The data was collected in patient’s chart from September 2016 to January 2018. Kaplan-Meier survival estimate and Log-Rank test were used to compare the survival time. The AFT and parametric shared frailty models were employed to identify factors associated with the recovery time of hypertension patients. All the fitted models were compared by using AIC and BIC. Results: Eighty one percent of sampled patients were recovered to normal condition and nineteen percent of patients were censored observations. The median survival time of hypertensive patients to attain normal condition was 13 months. Weibull- inverse Gaussian shared frailty model was found to be the best model for predicting recovery time of hypertension patients. The unobserved heterogeneity in residences as estimated by the Weibull-Inverse Gaussian shared frailty model was θ=0.385 (p-value=0.00). Conclusion: The final model showed that age, systolic blood pressure, related disease, creantine, blood urea nitrogen and the interaction between blood urea nitrogen and age were the determinants factors of recovery status of patients at 5% level of significance. The result showed that patients creantine >1.5 Mg/dl compared to creantine ≤1.5 Mg/dl and SBP were prolonged the recovery time of patients whereas patients having kidney disease, other disease and had no any disease compared to diabetic patients and the interaction BUN and age were shorten recovery status of hypertension patients.
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