MATERNAL AND NEONATAL OUTCOMES IN HIGH-RISK PREGNANCIES: A MULTI-CENTER PROSPECTIVE ANALYSIS

Abstract

This study investigates the maternal and neonatal outcomes associated with high-risk pregnancies through a multi-center prospective analysis, integrating clinical, biochemical, and demographic variables. The research aimed to identify key maternal risk factors influencing neonatal health and to develop predictive associations using statistical and computational modeling. Data were collected from multiple healthcare centers encompassing diverse maternal profiles including preeclampsia, gestational diabetes mellitus, multiple gestations, and intrauterine growth restriction. Quantitative analysis demonstrated significant correlations between maternal hypertension, advanced age, and abnormal biochemical markers with adverse neonatal outcomes such as low birth weight, reduced Apgar scores, and increased NICU admissions. Regression and correlation models indicated that maternal systolic blood pressure and creatinine levels were the most predictive parameters for neonatal complications. The inclusion of visual analytics such as line, bar, scatter, and hybrid plots enhanced understanding of data variability across gestational stages and care settings. The findings highlight disparities in maternal care quality across centers, suggesting that standardized protocols and early intervention strategies could substantially improve perinatal outcomes. Overall, this research emphasizes the importance of integrated monitoring systems, data-driven predictive tools, and interprofessional collaboration for reducing morbidity and mortality in high-risk pregnancies. The results establish a scientific foundation for precision obstetrics—bridging clinical insight with machine-assisted prediction to ensure safer maternal and neonatal health trajectories.