Birth asphyxia related mortality in Northwest Ethiopia: A multi-centre cohort study

Birth asphyxia is the second leading cause of neonatal death in Ethiopia, next to preterm-associated infections. Understanding the causes of death in asphyxiated newborns will help to design appropriate care. This study identifies predictors of neonatal mortality in asphyxiated newborns in selected hospitals in Northwest Ethiopia.

An institution-based prospective cohort study of 480 newborns with birth asphyxia was conducted at Debre Markos Comprehensive Specialized Hospital, Shegaw Motta District Hospital, and Injibara General Hospital. All newborns with asphyxia admitted to the neonatal critical care unit from the first of November 2018 to the first of November 2019 were included. Data were obtained prospectively from mothers using an interviewer's administered questionnaire. The Kaplan-Meier survival curve was used to estimate survival time, and Log rank test was used to compare the survival curves. Bivariable and multivariable Cox proportional hazards models were fitted to identify the independent predictors of mortality in asphyxiated newborns. Adjusted hazard Ratios (AHRs) with 95% Cis (Confidence Intervals) were used to measure the strength of association and test statistical significance.

The overall cumulative incidence of mortality among asphyxiated newborns was 42.29% (95% CI: 38%, 46). Asphyxiated neonates with other comorbidities (sepsis, neonatal anemia) (AHR = 2.63, 95% CI:1.69, 4.10), oxygen saturation of 50-69 (AHR = 4.62, 95% CI:2.55, 8.37), oxygen saturation of 70-89 (AHR = 2.82, 95% CI: 1.80, 4.42), severe Apgar score at one minute (AHR = 1.59, 95% CI:1.12, 2.25), neonates with Hypoxic Ischemic Encephalopathy (HIE) (AHR = 6.12, 95% CI:2.23, 16.75) were at higher risk of mortality.

The mortality rate among asphyxiated neonates remains high, and slightly higher than previous studies. Asphyxiated newborns with other comorbidities, severe Apgar score at one minute, who develop HIE, and low oxygen saturation were at higher risk of death. Therefore, designing appropriate interventions and prevention methods should be considered for identified variables.