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Risk prediction model of gestational diabetes mellitus based on nomogram in a Chinese population cohort study

Xiaomei Zhang1, Xin Zhao1, Lili Huo2

  • 1Department of Endocrinology, Peking University International Hospital, Beijing, China.

Scientific Reports
|December 5, 2020
PubMed

To build a risk prediction model of gestational diabetes mellitus using nomogram to provide a simple-to-use clinical basis for the early prediction of gestational diabetes mellitus (GDM). This study is a prospective cohort study including 1385 pregnant women. (1) It is showed that the risk of GDM in women aged ≥ 35 years was 5.5 times higher than that in women aged < 25 years (95% CI: 1.27-23.73, p < 0.05). In the first trimester, the risk of GDM in women with abnormal triglyceride who were in their first trimester was 2.1 times higher than that of lipid normal women (95% CI: 1.12-3.91, p < 0.05). The area under the ROC curve of the nomogram of was 0.728 (95% CI: 0.683-0.772), the sensitivity and specificity of the model were 0.716 and 0.652, respectively. This study provides a simple and economic nomogram for the early prediction of GDM risk in the first trimester, and it has certain accuracy.

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