Survival status and predictors of mortality among severely acute malnourished under-5 children admitted to stabilisation centers in selected government hospitals in Addis Ababa, Ethiopia, 2022: a retrospective cohort study

Objective This study aims to assess the survival status and predictors of mortality among under-5 children with severe acute malnutrition in Addis Ababa, Ethiopia. Design A retrospective cohort study was employed on randomly selected 422 medical records of children under the age of 5 admitted to stabilisation centres in Addis Ababa, Ethiopia. Survival analysis and Cox regression analysis were conducted to determine time spent before the outcome and predictors of desired outcome. Settings The stabilisation centres in four governmental hospitals in Addis Ababa, Ethiopia: Tikur Anbessa Specialised Hospital, Zewditu Memorial Hospital, Yekatit 12 Hospital and Tirunesh Beijing Hospital Participants Of 435 severely malnourished children under the age of 5 admitted to four governmental hospitals in Addis Ababa, Ethiopia, from January 2020 to December 2022, we were able to trace 422 complete records. The remaining 13 medical records were found to be incomplete due to missing medical history information for those children. Primary and secondary outcome measures The primary outcome is the survival status of under-5 children with severe acute malnutrition after admission to the stabilisation centres. The secondary outcome is predictors of survival among these children. Results Of 422 children, 44 (10.4%) died, with an incidence rate of 10.3 per 1000 person-days. The median hospital stay was 8 days. Full vaccination (adjusted HR (AHR) 0.2, 95% CI 0.088 to 0.583, p<0.05), feeding practices (F-75) (AHR 0.2, 95% CI 0.062 to 0.651, p<0.01), intravenous fluid administration (AHR 3.7, 95% CI 1.525 to 8.743, p<0.01), presence of HIV (AHR 2.2, 95% CI 1.001 to 4.650, p<0.05), pneumonia (AHR 2.2, 95% CI 1.001 to 4.650, p<0.01) and occurrence of shock (AHR3.5, 95% CI 1.451 to 8.321, p<0.01) were identified as significant predictors of mortality. Conclusion The study identified a survival rate slightly higher than the acceptable range set by the social and public health economics study group. Factors like vaccination status, HIV, pneumonia, shock, intravenous fluid and the absence of feeding F-75 predicted mortality.