Elevated liver enzymes in the first trimester are associated with gestational diabetes mellitus: A prospective cohort study

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
出处
期刊:Diabetes-metabolism Research and Reviews [Wiley]
卷期号:40 (4) 被引量:3
标识
DOI:10.1002/dmrr.3799
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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
FOD完成签到 ,获得积分10
刚刚
科目三应助666666采纳,获得10
刚刚
AdamJie应助芋泥桃桃采纳,获得10
刚刚
旺旺完成签到,获得积分10
刚刚
将个烂就发布了新的文献求助10
刚刚
1秒前
难过的安双完成签到,获得积分10
1秒前
WANGJD发布了新的文献求助10
1秒前
cdercder应助何kunpeng采纳,获得10
1秒前
huxiaomin发布了新的文献求助10
1秒前
尤涅若完成签到,获得积分20
1秒前
1秒前
Weiding完成签到,获得积分10
1秒前
稳重的小之完成签到,获得积分10
2秒前
无辜的摇伽完成签到,获得积分10
2秒前
饱满的丹翠完成签到,获得积分20
2秒前
Nothing完成签到,获得积分10
3秒前
小兔炖胡萝卜完成签到,获得积分10
3秒前
玻璃轮发布了新的文献求助10
3秒前
科研通AI6.2应助wangjia采纳,获得10
3秒前
76542cu完成签到,获得积分10
3秒前
小两完成签到,获得积分10
3秒前
SenioriousZ发布了新的文献求助10
3秒前
Lis完成签到,获得积分10
4秒前
小蘑菇应助Galaxy采纳,获得10
4秒前
4秒前
4秒前
xianhe发布了新的文献求助30
4秒前
4秒前
5秒前
bkagyin应助稳重的小之采纳,获得10
5秒前
于你无瓜发布了新的文献求助10
5秒前
小怪物发布了新的文献求助10
5秒前
酷酷断秋发布了新的文献求助10
6秒前
Jerry 刘发布了新的文献求助10
6秒前
molihuakai应助xiaoBA采纳,获得10
6秒前
7秒前
Orange应助你好这位仁兄采纳,获得10
8秒前
浅香千雪完成签到,获得积分10
8秒前
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Autoparametric Resonance in Mechanical Systems 1000
Effects of Two Weeks of Red Light Therapy on Choroidal Thickness and Axial Length in Young Adults 700
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7668970
求助须知:如何正确求助?哪些是违规求助? 9237242
关于积分的说明 19885832
捐赠科研通 7238078
什么是DOI,文献DOI怎么找? 3284183
关于科研通互助平台的介绍 2442994
邀请新用户注册赠送积分活动 2285906