ArticleInternational journal of women's health2026
Development and Validation of a Nomogram Model for Predicting Chorioamnionitis in Patients with Term Premature Rupture of Membranes.
Article in International journal of women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: This study aims to construct and validate a nomogram model based on clinical and laboratory indicators to predict the risk of histological chorioamnionitis in patients with premature rupture of membranes at term, and to evaluate its predictive efficacy and effectiveness. Methods: A total of 319 PROM patients admitted between May 2023 and December 2024 were randomly divided into a modeling group (n=221) and a validation group (n=98) at a 7:3 ratio. Based on placental and fetal membrane histopathology, the modeling group was classified into a non-HCA group (grade 0, n=138) and an HCA group (grades I-II, n=83). Results: Compared with the non-HCA group, patients in the HCA group had significantly higher rates of body temperature ≥37.3 °C, baseline fetal heart rate ≥160 beats/min, rupture-to-delivery time ≥12 h, cesarean delivery, WBC ≥15×10 Conclusion: Body temperature, delivery mode, WBC, neutrophil percentage, and PCT are significantly associated with HCA in PROM patients. The nomogram model shows good discrimination, calibration, and stability, and may assist in predicting HCA risk in clinical practice.
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