中国实用妇科与产科杂志2024，Vol.40Issue(12)：1241-1244,4.DOI:10.19538/j.fk2024120117
妊娠合并心脏病不良事件发生危险因素分析及风险预测模型初探
Risk factors analysis and preliminary study on risk prediction model of adverse events in pregnancy complicated with heart disease
摘要
Abstract
Objective To investigate the risk factors associated with adverse events in pregnant women with heart disease,and to make a preliminary study on the related risk prediction model.Methods Clinical data of 146 pregnant patients with heart disease treated in the Second Affiliated Hospital of Dalian Medical University from January 2016 to December 2022 were collected.With the occurrence of maternal-fetal adverse events as outcome variables,logistic regression analysis was adopted to explore the independent influencing factors for outcome variables,and the risk prediction model was preliminarily explored based on machine learning.Results The number of pregnancies,BMI,cardiac function grade,type of heart disease and whether assisted reproductive technology was used were independent risk factors for adverse events.Based on the results of binary logistic regression,the nomogram of the risk prediction model for adverse maternal and fetal outcomes was drawn,and the risk prediction value of adverse events in pregnant women with different high-risk factors was calculated.The nomogram and the multi-indicator combined ROC curve were drawn,and the area under ROC curve was 0.90.Conclusion The management of pregnant women with heart disease through real-time data monitoring and analysis,as well as the establishment of predictive models,can provide more accurate and real-time decision support for clinical practice.关键词
妊娠合并心脏病/母胎不良结局/风险预测模型Key words
pregnancy complicated with heart disease/adverse maternal-fetal outcomes/risk prediction model分类
医药卫生引用本文复制引用
路侨,陆俊玲,王馨犹,李亚,那晶,王军,李玉岩..妊娠合并心脏病不良事件发生危险因素分析及风险预测模型初探[J].中国实用妇科与产科杂志,2024,40(12):1241-1244,4.基金项目
辽宁省民生科技计划(2021JH2/1030006) （2021JH2/1030006）
