Analytical Modeling of Maternal and Neonatal Outcomes in Premature Rapture of Membranes Using Survival Analysis, MHD and Electro-Osmotic Flow Toward SDG 3

Abstract

Background: Premature rupture of membranes (PROM) contributes significantly to maternal and neonatal morbidity and mortality globally, particularly in low-resource settings. Understanding its clinical consequences requires advanced analytical approaches. Integrating survival analysis with magnetohydrodynamic (MHD) and electro-osmotic flow modeling offers a novel framework for explaining biophysical transport and predicting perinatal outcomes in affected pregnancies toward improving SDG 3 targets.

 Objectives: To evaluate maternal and neonatal outcomes of PROM using survival analysis and biophysical flow modeling techniques. Subjects and Methods: ulticenter cohort data from Nigerian teaching hospitals analyzed using survival models, MHD equations, and electro-osmotic flow simulations.

Results: A total cohort of pregnant women with confirmed PROM was analyzed across multiple teaching hospitals in Nigeria. Maternal outcomes included infection, prolonged labor, and postpartum complications, while neonatal outcomes included low birth weight, respiratory distress, and early neonatal mortality. Survival analysis demonstrated significant variation in perinatal survival probabilities based on gestational age at rupture, latency period, and infection status. The hazard ratio for adverse neonatal outcome increased with prolonged rupture-to-delivery interval. Integration of magnetohydrodynamic (MHD) modeling revealed that ionic transport and fluid conductivity influenced amniotic fluid dynamics under pathological conditions. Electro-osmotic flow simulations further demonstrated altered microfluidic movement across membrane interfaces, correlating with increased infection risk and fetal stress exposure. Predictive modeling showed strong concordance between observed and simulated outcomes, with improved accuracy in forecasting neonatal survival. The combined analytical framework enhanced stratification of high-risk pregnancies and improved outcome prediction reliability across participating centers.

Conclusion: PROM outcomes are predictable using integrated survival, MHD, and electro-osmotic models supporting improved clinical decision-making.