Multivariate Prediction of NICU Admission Based on Maternal and Intrapartum Risk Factors
Multivariate Model for NICU Admission Risk
Keywords:
Cesarean section, Hypertensive crisis, Intensive Care Units, Infant, Logistic models, Newborn, Pregnancy outcome, Risk factorsAbstract
Background: Neonatal intensive care unit (NICU) admission is a significant outcome of the process of providing perinatal care. This outcome often correlates with severe morbidity of the newborns. Awareness of risk factors concerning the mother and pregnancy generally helps to address the situation appropriately. To determine the maternal and obstetric predictors independently associated with NICU admission in singleton deliveries using multivariate statistical analysis.
Methods: This was a retrospective, analytical cross-sectional study of 2,511 singleton deliveries. Bivariate comparisons were conducted using chi-square tests and t-tests, followed by multivariate logistic regression to identify independent predictors. Odds ratios (OR), confidence intervals (CI), area under the ROC curve (AUC), and variance inflation factors (VIF) were reported.
Results: NICU admissions occurred in 322 neonates (12.8%). The primary predictors of NICU admissions, after adjustment for all other terms, included cesarean delivery, with an AOR of 48.7; advanced maternal age >35 years, with an AOR of 18.2; prolonged labor >12 hours, with an AOR of 8.1; preterm birth, with an AOR of 6.6; and hypertensive crisis, with an AOR of 3.7. The model demonstrated good prediction accuracy with an AUC of 0.95.
Conclusion: Advanced maternal age, hypertensive crisis, cesarean delivery, preterm birth, and long labor have emerged as significant predictors of NICU admission.
DOI: https://doi.org/10.59564/amrj/04.01/003
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