Predictors of in-hospital and 90-day post-discharge stroke mortality in Lusaka, Zambia

Background: Factors associated with stroke mortality are understudied in sub-Saharan Africa but have implications for designing interventions that improve stroke outcomes. We investigated predictors of in-hospital and 90-day post-discharge stroke mortality in Lusaka, Zambia. Methods: Data from consecutive adults admitted with stroke at University Teaching Hospital in Lusaka, Zambia between October 2018 and March 2019 were retrospectively reviewed for clinical in-hospital outcomes. Vital status at 90-days post-discharge was determined through phone calls. Factors associated with stroke mortality were included in multivariable logistic regression models utilizing multiple imputation analysis to determine independent predictors of in-hospital and 90-days post-discharge mortality. Results: In-hospital mortality was 24%, and 90-day post-discharge mortality was 22% among those who survived hospitalization. Hemorrhagic and unknown strokes, ICU care, seizures, and aspiration pneumonia were significantly associated with in-hospital mortality. Among these, hemorrhagic stroke (OR 2.88, 95% CI 1.27–6.53, p = 0.01) and seizures (OR 29.5, 95% CI 2.14–406, p = 0.01) remained independent predictors of in-hospital mortality in multivariable analyses. Ninety-day post-discharge mortality was significantly associated with older age, previous stroke, atrial fibrillation, and aspiration pneumonia, but only older age (OR 1.04, 95% CI 1.01–1.06, p = 0.007) and aspiration pneumonia (OR 3.93, 95% CI 1.30–11.88, p = 0.02) remained independently associated with 90-day mortality in multivariable analyses. Conclusion: This Zambian stroke cohort had high in-hospital and 90-day post-discharge mortality that were associated with several in-hospital complications. Our data indicate the need for improvement in both acute stroke care and post-stroke systems of care to improve stroke outcomes in Zambia.