妊娠期亚临床甲状腺功能减退症的决策树模型构建
Construction of decision tree model for subclinical hypothyroidism in pregnancy
陈园园 1高武1
作者信息
摘要
目的:探讨妊娠期合并亚临床甲状腺功能减退症(SCH)的危险因素,并构建决策树模型.方法:回顾性分析 261 例产妇的临床资料,采用Logistic回归分析筛选SCH发生的危险因素,运用Modeler软件构建决策树模型.结果:SCH发生率为 12.64%.Logistic回归分析结果显示,年龄≧30 岁、BMI＜24kg/m2、初产、妊娠期糖尿病、子痫前期、贫血均是妊娠期产妇合并 SCH的影响因素(P＜0.05).决策树模型显示,贫血是妊娠期产妇合并 SCH最为重要的影响因素.ROC结果显示,多因素的AUC值高于决策树(Z=2.470,P=0.140).结论:年龄、BMI、孕产史、妊娠期糖尿病、子痫前期、贫血均是妊娠期产妇合并SCH的影响因素,基于上述因素构建的决策树风险预测模型具有较好的风险预测效能.
Abstract
Objective:To investigate the risk factors of subclinical hypothyroidism(SCH)during pregnancy and establish a decision tree model.Methods:The clinical data of 261 parturient women were retrospectively analyzed,the risk factors of SCH were screened by Logistic regression analysis,and the decision tree model was constructed by Modeler software.Results:The incidence of SCH was 12.64%.Logistic regression analysis showed that age≥30 years old,BMI＜24kg/m2,first delivery,gestational diabetes mellitus,preeclampsia and anemia were all influential factors for SCH in pregnant women(P＜0.05).Decision tree model shows that anemia is the most important factor affecting maternal SCH during pregnancy.ROC results showed that the AUC value of multi-factor was higher than that of decision tree(Z=2.470,P=0.140).Conclusion:Age,BMI,pregnancy and childbirth history,gestational diabetes,preeclampsia,and anemia are all influencing factors for SCH during pregnancy.The decision tree risk prediction model constructed based on these factors has good risk prediction performance.
关键词
妊娠/亚临床甲状腺功能减退症/危险因素/决策树Key words
spregnancy/Subclinical hypothyroidism/Risk factors/Decision tree引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据