Association between atherogenic index of plasma and gestational diabetes mellitus: a prospective cohort study based on the Korean population

妊娠期糖尿病 医学 混淆 前瞻性队列研究 内科学 接收机工作特性 糖尿病 队列研究 逻辑回归 人口 产科 怀孕 妊娠期 内分泌学 环境卫生 生物 遗传学
作者
Juan Zhang,Yaoyu Suo,Sheng Wang,Dong Liu,Yue Jia,Yajuan Fu,Weining Fan,Yideng Jiang
出处
期刊:Cardiovascular Diabetology [BioMed Central]
卷期号:23 (1)
标识
DOI:10.1186/s12933-024-02341-9
摘要

Abstract Background Atherogenic index of plasma (AIP) is a non-traditional lipid parameter that can reflect the burden of atherosclerosis. A lipid profile resembling atherosclerosis emerged during pregnancy. Although lipid metabolism is pivotal in diabetes pathogenesis, there is no evidence linking AIP to gestational diabetes mellitus (GDM). Therefore, our objective was to explore the relationship between AIP and GDM and assess AIP's predictive capability for GDM. Methods This was a secondary analysis based on data from a prospective cohort study in Korea involving 585 single pregnant women. AIP was calculated as log10 (TG/HDL). We examined the relationship between AIP and GDM using logistic regression models, curve fitting, sensitivity analyses, and subgroup analyses. Receiver operating characteristic (ROC) analysis was also used to determine the ability of AIP to predict GDM. Results The average age of the participants was 32.06 ± 3.76 years. The AIP was 0.24 ± 0.20 on average. The GDM incidence was 6.15%. After adjustment for potentially confounding variables, AIP showed a positive linear relationship with GDM ( P for non-linearity: 0.801, OR 1.58, 95% CI 1.27–1.97). The robustness of the connection between AIP and GDM was demonstrated by sensitivity analyses and subgroup analyses. An area under the ROC curve of 0.7879 (95% CI 0.7087–0.8671) indicates that AIP is an excellent predictor of GDM. With a specificity of 75.41% and sensitivity of 72.22%, the ideal AIP cut-off value for identifying GDM was 0.3557. Conclusions This study revealed that the AIP at 10–14 weeks of gestation was independently and positively correlated with GDM risk. AIP could serve as an early screening and monitoring tool for pregnant women at high risk of GDM, thereby optimizing GDM prevention strategies. Trial registration ClinicalTrials.gov registration no. NCT02276144. Graphical abstract

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
Marksman497发布了新的文献求助10
1秒前
李鹏发布了新的文献求助10
1秒前
1秒前
英俊的铭应助cyy123采纳,获得10
1秒前
1秒前
ohnono完成签到,获得积分10
2秒前
Jasper应助will采纳,获得30
3秒前
1194关注了科研通微信公众号
4秒前
Lily发布了新的文献求助10
5秒前
满意的穆完成签到 ,获得积分10
6秒前
三生一陌发布了新的文献求助10
6秒前
scalar发布了新的文献求助10
7秒前
Marksman497发布了新的文献求助10
7秒前
8秒前
btyyl完成签到,获得积分10
8秒前
molihuakai应助Asystasia7采纳,获得10
8秒前
小王完成签到 ,获得积分10
9秒前
9秒前
王晓静发布了新的文献求助10
10秒前
Yggdrasill完成签到,获得积分10
12秒前
LiShin发布了新的文献求助10
12秒前
13秒前
13秒前
Marksman497发布了新的文献求助30
14秒前
15秒前
英姑应助白糖采纳,获得10
15秒前
16秒前
16秒前
12完成签到,获得积分20
16秒前
16秒前
scalar完成签到,获得积分10
17秒前
xyx发布了新的文献求助10
18秒前
神勇问丝完成签到,获得积分10
18秒前
18秒前
18秒前
12发布了新的文献求助10
19秒前
明亮的电源完成签到 ,获得积分10
19秒前
yunqingbai完成签到 ,获得积分10
19秒前
Marksman497发布了新的文献求助10
20秒前
21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
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
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 7755881
求助须知:如何正确求助?哪些是违规求助? 9302384
关于积分的说明 20269009
捐赠科研通 7338996
什么是DOI,文献DOI怎么找? 3311330
关于科研通互助平台的介绍 2462344
邀请新用户注册赠送积分活动 2324799