Risk Factors and a Preliminary Clinical Prediction Model for Postpartum Hemorrhage or the Need for Hemostatic Intervention in Twin Cesarean Deliveries

双胎剖宫产术后出血或止血干预需求的风险因素及初步临床预测模型

阅读:1

Abstract

OBJECTIVE: Postpartum hemorrhage (PPH) remains the leading cause of maternal mortality globally. Twin pregnancies demonstrate significantly higher PPH risk compared to singleton gestations. The predictive capacity for PPH in twin pregnancies requires improvement. This study conducted a retrospective analysis of clinical cases involving twin pregnancies delivered by cesarean section to determine risk factors for PPH or required hemostatic interventions and to construct a preliminary prediction model. The findings aim to enhance clinical anticipation and management of PPH in twin cesarean deliveries. METHODS: This retrospective study analyzed twin pregnancies delivered by cesarean section with live births at Mianyang Central Hospital from March 6, 2020 to March 6, 2025. The primary outcome was postpartum hemorrhage, defined as a blood loss of≥1000 mL within 24 hours after delivery, or the requirement for hemostatic intervention. Risk factors were identified using logistic regression analysis. Based on these factors, a preliminary clinical prediction model was developed, visualized as a nomogram, and internally validated. RESULTS: Multivariate analysis revealed six independent risk factors (all P<0.05): first twin birth weight (P=0.018), second twin amniotic fluid depth (P=0.042), prolonged operative time (P=0.008), employed status (P=0.016), placenta implantation (P=0.009), and general anesthesia (P=0.019). We developed a clinical nomogram incorporating these six independent risk factors. The prediction model demonstrated moderate discriminative ability in the training set (AUC=0.722, 95% CI: 0.656-0.789) and clinically relevant predictive value in the validation set (AUC=0.613, 95% CI: 0.503-0.722). CONCLUSION: This study successfully identified independent risk factors for postpartum hemorrhage or the need for hemostatic intervention in twin cesarean deliveries and preliminarily established a clinical nomogram prediction model, aiming to facilitate early detection and management of high-risk populations for bleeding in twin cesarean sections.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。