汕头大学医学院学报2024，Vol.37Issue(3)：142-146,5.DOI:10.13401/j.cnki.jsumc.2024.03.003
重度子痫前期患者发生胎盘早剥的相关因素分析
Analysis of factors associated with placental abruption in patients with severe preeclampsia
王玉婷 1张夏兰 2黄若玲 3李丽贤 4陈晓琳 5李洲敏2
作者信息
- 1. 汕头大学医学院第二附属医院妇产科,广东 汕头 515041||普宁市人民医院产科,广东 普宁 515300
- 2. 汕头大学医学院第二附属医院妇产科,广东 汕头 515041
- 3. 普宁市人民医院产科,广东 普宁 515300
- 4. 普宁市人民医院医务股,广东 普宁 515300
- 5. 揭阳市人民医院妇科,广东 揭阳 522000
- 折叠
摘要
Abstract
Objective:To investigate the factors associated with the occurrence of placental abruption in patients with severe preeclampsia and to construct a clinical prediction model.Methods:237 patients with severe preeclampsia awaiting labor and delivery in Jieyang People's Hospital and Puning People's Hospital from January 2014 to October 2023 were selected as the study subjects,and were randomly divided into a training set(189 cases)and a validation set(48 cases)according to the ratio of 8:2.Logistic regression analysis was used to screen the factors related to the occurrence of placental abruption in patients with severe preeclampsia,and a nomogram prediction model was constructed for the occurrence of placental abruption in patients with severe preeclampsia.The goodness of fit of the predictive model was assessed using the Hosmer-Lemeshow(HL)goodness-of-fit test.The area under curve(AUC)of the receiver operating characteristic(ROC)was used to assess the discrimination of the predictive model.Results:Gestational age(OR=0.36,95%CI:0.16-0.81),diastolic blood pressure(OR=3.38,95%CI:1.46-7.84),white blood cell count(OR=3.95,95%CI:1.72-9.05),prothrombin time(OR=3.07,95%CI:1.32-7.14),fibrinogen(OR=0.24,95%CI:0.10-0.56),and lactate dehydrogenase(OR=5.90,95%CI:2.48-14.06)were correlates of placental abruption in patients with severe preeclampsia.The P-value of HL test for the training set=0.960(>0.05)and the P-value of HL test for the validation set=0.173(>0.05)indicated that the predictive model had a good fit.The ROC curves showed that the model predicted the occurrence of preterm placental abruption in patients with severe preeclampsia with an AUC of 0.89(95%CI:0.83-0.94)for the training set,and an AUC of 0.76 for the validation set(95%CI:0.62-0.90),indicating that the model had a high discriminatory ability to predict the occurrence of placental abruption in patients with severe preeclampsia.Conclusion:The established nomogram prediction model including gestational age,diastolic blood pressure,white blood cell count,prothrombin time,fibrinogen,and lactate dehydrogenase has the ability to predict the occurrence of placental abruption in patients with severe preeclampsia.关键词
重度子痫前期/胎盘早剥/预测模型/列线图Key words
severe preeclampsia/placental abruption/predictive model/nomogram分类
医药卫生引用本文复制引用
王玉婷,张夏兰,黄若玲,李丽贤,陈晓琳,李洲敏..重度子痫前期患者发生胎盘早剥的相关因素分析[J].汕头大学医学院学报,2024,37(3):142-146,5.
