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妊娠期高血压疾病的早期预测模型构建

方艳 王群华 陈红波

现代妇产科进展2024,Vol.33Issue(7):506-511,6.
现代妇产科进展2024,Vol.33Issue(7):506-511,6.DOI:10.13283/j.cnki.xdfckjz.2024.07.005

妊娠期高血压疾病的早期预测模型构建

Construction of an early prediction model for hypertensive disorders in pregnancy

方艳 1王群华 2陈红波3

作者信息

  • 1. 安徽医科大学附属妇幼保健院(合肥市妇幼保健院)妇产科,合肥 230001||安徽医科大学第五临床医学院,合肥 230001
  • 2. 中国科学技术大学附属第一医院妇产科,合肥 230001
  • 3. 安徽医科大学附属妇幼保健院(合肥市妇幼保健院)妇产科,合肥 230001
  • 折叠

摘要

Abstract

Objective:To construct an early prediction model for hypertensive disorders in pregnancy(HDP)based on the results of blood routine and liver and kidney functions at 12~19+6 weeks of pregnancy.Method:858 pregnant women who underwent prenatal care and de-livered at Hefei Maternal and Child Health Hospital from January 2017 to December 2019 were included in the study.Among them,70 cases of gestational hypertension(GH)or preeclampsia(PE)were included in the HDP group,while the remaining 788 cases were included in the non-HDP group.Single factor comparison was conducted between two groups of blood routine and liver and kidney functions.Multivariate logistic regression was used to analyze the risk fac-tors of HDP and establish a predictive model.The regression modeling strategy package in R language software was used to establish a nomogram,and the model effectiveness was evaluated from multiple dimensions.Result:MCHC,PLT,MPV,AST,GGT,UA and Glu were independent risk factors for HDP,MHC was an independent protective factor for HDP.Based on the risk fac-tors screened by logistic regression,a predictive model for HDP was established,and the final formula was:Log(Pi)=-21.353+0.045×MCHC(g/L)+0.009×PLT(109/L)-0.270×MHC(pg)+0.353×MPV(fL)+0.011×AST(IU/L)+0.023×GGT(IU/L)+0.007×UA(μmol/L)+0.096×Glu(mmol/dL).The area under the receiver operating characteristic(ROC)curve(AUC)of this model was 0.762(95%CI:0.703~0.820),with an optimal threshold of 0.096.At this point,the specificity was 0.793,and the sensitivity was 0.571.After internal val-idation using Bootstrap sampling,the AUC was 0.741,the Brier score was 0.068,and the pre-dicted probability of the calibration curve was similar to the actual probability.Conclusion:Multiple indexes in the blood routine and liver and kidney functions at 12~19+6 weeks of preg-nancy are risk factors for HDP.The early nomogram prediction model for HDP constructed in this study has good predictive performance and clinical practical value.

关键词

妊娠期高血压疾病/预测模型/列线图/内部验证

Key words

Hypertensive disorders in pregnancy/Prediction model/Nomogram/Inter-nal validation

分类

医药卫生

引用本文复制引用

方艳,王群华,陈红波..妊娠期高血压疾病的早期预测模型构建[J].现代妇产科进展,2024,33(7):506-511,6.

基金项目

安徽省重点研究与开发计划(No ()

2022e07020001) ()

合肥市围生医学名医工作室建设项目(No:2018-164) (No:2018-164)

安徽省首届"青年江淮名医"培养项目(No:2022-392) (No:2022-392)

安徽省科研编制计划项目(No:2023AH053400) (No:2023AH053400)

现代妇产科进展

OACSTPCD

1004-7379

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