Development and validation of a nomogram for predicting early-onset severe intraventricular hemorrhage in extremely preterm infants

作者：Yuan Hu, Qin Li, Qin Huang, Ling Yan · 发表于：Frontiers in Pediatrics · 年份：2025 · DOI：10.3389/fped.2025.1644298 · 被引用次数：3 · 研究领域：Neonatal and fetal brain pathology、Neonatal Respiratory Health Research、Preterm Birth and Chorioamnionitis

Objective Severe intraventricular hemorrhage (IVH) remains a major complication in extremely preterm infants, with significant clinical implications. We aimed to develop and internally validate a nomogram for forecasting the likelihood of early onset of severe IVH in extremely preterm neonates. Methods In this study, a retrospective review of clinical data was conducted among premature infants born before 32 weeks’ gestation who were treated at the pediatric unit of the First Affiliated Hospital of the Army Medical University in Chongqing, China, from January 2017 through December 2023. The group of infants was split randomly into two segments—a training group consisting of 230 individuals and an internal validation group with 98—essentially a 7:3 split. According to the Volpe classification of IVH, the training group was divided into a severe IVH group (Volpe grades III–IV, n = 46) and a mild/no IVH group (Volpe grades I–II and no IVH, n = 184). Key predictive variables were identified through least absolute shrinkage and selection operator (LASSO) regression. The predictive model's performance was assessed using multiple metrics: receiver operating characteristic (ROC) curve analysis to measure discrimination, calibration plots to evaluate accuracy, and decision curve analysis (DCA) to determine clinical utility. Results Six predictors were identified in the training cohort: gestational age, 5-min Apgar score, septic shock, pulmonary hemorrhage, hemoglobin count, and thromb...