Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia

Abstract

Abstract Background and purpose A stroke or a cerebrovascular accident is a common cause of death and a leading cause of long-term, severe disability in both developed and developing countries. The most recent global burden of disease report states that there were 11.9 million new cases of stroke worldwide; stroke accounts for nearly 1 in 8 deaths globally (12%, 6.5 million deaths) and claims a life every 5 s, making it the second most common cause of death worldwide. The goal of the study was to identify the most important factors influencing stroke patients' time to death at Gambella General Hospital. Methods Data was gathered from patient files in a hospital using a retrospective study methodology, spanning the period from September 2018 to September 2020. R 3.4.0 statistical software and STATA version 14.2 were used for data entry and analysis. The survival time was compared using the log-rank tests and the Kaplan–Meier survival curve. The fitness of the Cox proportional hazard model was examined. Results The final model that was fitted was the log-logistic AFT model. A statistically significant correlation was defined as having a p value of less than 0.05 and the accelerated factor (γ) with its 95% confidence interval was employed. Eight days was the total median death time (95% CI 6–10). Significant predictors for shortened mortality time were age (γ = 0.94; 95% CI (0.0.920–0.980), hypertension (γ = 0.63; 95% CI (0.605–0.660), and baseline complications (γ = 0.24; 95% CI (0.223–0.256). Conclusions The shortened timing of death was significantly predicted by age, hypertension, and baseline complications. In light of the study's findings, health administrators and caregivers should work to improve society's overall health.

Keywords

• Stroke
• Survival
• Time to death
• Survival analysis