| 多因素综合构建妊娠期糖尿病孕妇分娩巨大儿的预测模型 |
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| 引用本文： | 张艳红,吴翠霞,尹绪爱. 多因素综合构建妊娠期糖尿病孕妇分娩巨大儿的预测模型[J]. 蚌埠医学院学报, 2021, 46(7): 854-857. DOI: 10.13898/j.cnki.issn.1000-2200.2021.07.004 |
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| 作者姓名： | 张艳红 吴翠霞 尹绪爱 |
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| 作者单位： | 安徽医科大学附属巢湖医院 妇产科, 安徽 巢湖 238000 |
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| 基金项目： | 安徽省自然科学基金项目1908085MH293 |
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| 摘 要： | 目的:多因素综合构建妊娠期糖尿病孕妇分娩巨大儿的预测模型.方法:选取妊娠期糖尿病孕妇120例,根据新生儿出生体质量不同分为巨大儿组(n=33)和正常组(n=87).收集2组一般临床资料,采用logistic回归分析构建妊娠期糖尿病孕妇分娩巨大儿的预测模型,并绘制ROC曲线.结果:2组孕妇孕期增重、孕前体质量指数、分娩孕...
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| 关 键 词： | 妊娠期糖尿病 巨大儿 预测模型构建 空腹血糖 胰岛素抵抗指数 孕期增重 |
| 收稿时间： | 2020-06-12 |
Construction of the prediction model of macrosomia in pregnant women with gestational diabetes mellitus |
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| ZHANG Yan-hong,WU Cui-xia,YIN Xu-ai. Construction of the prediction model of macrosomia in pregnant women with gestational diabetes mellitus[J]. Journal of Bengbu Medical College, 2021, 46(7): 854-857. DOI: 10.13898/j.cnki.issn.1000-2200.2021.07.004 |
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| Authors: | ZHANG Yan-hong WU Cui-xia YIN Xu-ai |
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| Affiliation: | Department of Obstetrics and Gynaecology, Chaohu Hospital Affiliated to Anhui Medical University, Chaohu Anhui 238000, China |
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| Abstract: | ObjectiveTo construct the prediction model of macrosomia in pregnant women with gestational diabetes mellitus.MethodsOne hundred and twenty pregnant women with gestational diabetes mellitus were divided into the macrosomia group(n=33) and normal group(n=87) according to the different birth body mass of newborns.The general clinical data of two groups were collected, the logistic regression was used to construct the prediction model of macrosomia in pregnant women with gestational diabetes mellitus, and the receiver operating characteristic(ROC) curve of subjects was drawn.ResultsThe differences of the weight gain during pregnancy, pre-pregnancy body mass index, gestational age, fasting blood glucose, OGTT 0 h blood glucose and insulin resistance index between two groups were statistically significant(P < 0.01).The results of logistic regression analysis showed that the weight gain during pregnancy, fasting blood glucose, insulin resistance index were the independent risk factors of the delivery of macrosomia(P < 0.05).The weight gain during pregnancy, fasting blood glucose and insulin resistance index were taken as covariates X1, X2 and X3, respectively, and the prediction model expression was obtained as follows: Logit(P)=-10.522+0.521X1+0.337X2+0.216X3.The optimal critical value, sensitivity, specificity and area under the ROC curve of model were 0.522, 73.68%, 93.90% and 0.856(0.614-0.977), respectively.ConclusionsThe prediction model based on multiple factors has a high value in the prediction of macrosomia of pregnant women with gestational diabetes mellitus. |
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