| 注册
首页|期刊导航|中外医学研究|硬膜外分娩镇痛后产时发热风险预测模型的建立与验证

硬膜外分娩镇痛后产时发热风险预测模型的建立与验证

何云英 黄红晓 罗家祺 张娟 吴丹燕

中外医学研究2026,Vol.24Issue(10):11-15,5.
中外医学研究2026,Vol.24Issue(10):11-15,5.DOI:10.14033/j.cnki.cfmr.2026.10.003

硬膜外分娩镇痛后产时发热风险预测模型的建立与验证

Establishment and Validation of a Risk Prediction Model for Postpartum Fever After Epidural Analgesia During Delivery

何云英 1黄红晓 1罗家祺 1张娟 1吴丹燕1

作者信息

  • 1. 佛山市妇幼保健院 广东 佛山 528000
  • 折叠

摘要

Abstract

Objective:To explore the influencing factors of postpartum fever after epidural analgesia,construct a risk prediction model,and verify its predictive effect,so as to provide guidance for the monitoring and management of the labor process.Method:A retrospective study was conducted,with 8 847 parturients included in the modeling group,including 896 cases in the fever group and 7 951 cases in the control group.The validation group included 2 212 parturients using the same inclusion criteria,including 246 cases in the fever group and 1 966 cases in the control group.Using univariate analysis and logistic regression to analyze the influencing factors of the fever group,establish a risk prediction model and draw a column chart.The Hosmer-Lemeshow test and ROC curve were used to validate the model.Result:In this study,six risk factors,namely ICP,BMI,duration from admission to delivery,duration of epidural labor analgesia,birth weight and NLR,are ultimately included to construct a risk prediction model.The area under the ROC curve of the modeling group is 0.730,the 95%CI is 0.713 to 0.746,the optimal cut-off value is 0.088,the sensitivity is 0.632,and the specificity is 0.707.The results of external validation through R language show that the area under the ROC curve(AUC)of the validation group is 0.731,the 95%CI is 0.700~0.762,the optimal cut-off value is 0.088,the sensitivity is 0.610,and the specificity is 0.714.Conclusion:BMI,the duration from admission to delivery,duration of epidural analgesia during delivery,estimated weight of the newborn,and NLR are risk factors for fever after epidural analgesia during delivery.The risk prediction model constructed in this study has good performance and can provide guidance for predicting fever during labor.

关键词

产时发热/硬膜外分娩镇痛/中性粒细胞/淋巴细胞比值/体质量指数/分娩时长

Key words

Intrapartum fever/Epidural labor analgesia/NLR/BMI/Delivery duration

引用本文复制引用

何云英,黄红晓,罗家祺,张娟,吴丹燕..硬膜外分娩镇痛后产时发热风险预测模型的建立与验证[J].中外医学研究,2026,24(10):11-15,5.

基金项目

2023年佛山市自筹经费类科技计划项目(2520001000412) (2520001000412)

中外医学研究

1674-6805

访问量0
|
下载量0
段落导航相关论文