妊娠期糖尿病
医学
前瞻性队列研究
怀孕
四分位数
产科
优势比
内科学
糖尿病
队列研究
内分泌学
妊娠期
生物
置信区间
遗传学
作者
Lingling Cui,Xiaoli Yang,Zhiqian Li,Yuting Gao,Zhengya Zhang,Dongmei Xu,Xinxin Liu
摘要
Abstract Aims Previous studies have found that a single liver enzyme may predict gestational diabetes mellitus (GDM), but the results have been inconsistent. This study aimed to explore the associations of liver enzymes in early pregnancy with risk of GDM, as well as to independently rank risk factors. Methods This prospective cohort study included 1295 women who underwent liver enzyme measurements during early pregnancy and completed GDM assessment in mid‐pregnancy. Logistic regression and restricted cubic spline analyses were conducted to assess the relationship between liver enzymes and risk of GDM. Back‐propagation artificial neural network was performed to rank independently risk factors of GDM. Results Women diagnosed with GDM exhibited significantly higher levels of liver enzymes than those without GDM (all p < 0.05). The highest quartile of liver enzymes was associated with higher risk of GDM compared with the lowest quartile, with adjusted odds ratio ( ORs ) ranging from 2.76 to 8.11 (all p < 0.05). Moreover, the ORs of GDM increased linearly with liver enzymes level (all P for overall association <0.001). Furthermore, Back‐propagation artificial neural network identified γ‐gamma‐glutamyl transferase (GGT) as accounting for the highest proportion in the ranking of GDM risk prediction weights (up to 20.8%). Conclusions Single or total elevations of liver enzymes in early pregnancy could predict the GDM occurrence, in which GGT, alkaline Phosphatase, and aspartate aminotransferase were the three most important independent risk factors.
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