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Predictors of preterm neonatal mortality in India and Pakistan
A secondary analysis of data from purpose study
Tikmani, S. S., Saleem, S., Sadia, A., M. Bann, C., Bozdar, M. H., Raza, J., Dhaded, S. M., Goudar, S. S., Gowdar, G., Yasmin, H., Mcclure, E. M., & Goldenberg, R. L. (2024). Predictors of preterm neonatal mortality in India and Pakistan: A secondary analysis of data from purpose study. Global Pediatric Health, 11, Article 2333794X241236617. https://doi.org/10.1177/2333794X241236617
Objective. To create a prediction model for preterm neonatal mortality. Methods. A secondary analysis was conducted using data from a prospective cohort study, the Project to Understand and Research Preterm Pregnancy Outcome South Asia. The Cox proportional hazard model was used and adjusted hazard ratios (AHR) with 95% confidence intervals (95% CI) were reported. Results. Overall, 3446 preterm neonates were included. The mean age of preterm neonates was 0.65 (1.25) hours and 52% were female. The preterm neonatal mortality rate was 23.3%. The maternal factors predicting preterm neonatal death was any antepartum hemorrhage, AHR 1.99 (1.60-2.47), while neonatal predictors were preterm who received positive pressure ventilation AHR 1.30 (1.08-1.57), temperature <35.5degree celsius AHR 1.18 (1.00-1.39), and congenital malformations AHR 3.31 (2.64-4.16). Conclusion. This study identified key maternal and neonatal predictors of preterm neonatal mortality, emphasizing the need for targeted interventions and collaborative public health efforts to address disparities and regional variations.
