Evidence map›Paper›PMID 42445879›Full record

ArticleFrontiers in endocrinology2026

Triglyceride-glucose index as predictor of gestational diabetes mellitus in early pregnancy: a prospective cohort study.

Ge Huang, Meng Su, Cheng Li, Hongzhuan Tan, Jing Deng, Mengshi Chen

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Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Ge HuangDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.
Meng SuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.
Cheng LiDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.
Hongzhuan TanDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.
Jing DengDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.
Mengshi ChenDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/objectives: Gestational diabetes mellitus (GDM) poses a serious threat to the health of both mothers and infants, and currently, methods for early and accurate prediction remain limited. This study aims to investigate the association between TyG levels in early pregnancy, TyG levels in mid-pregnancy, and their dynamic differences with the risk of developing gestational diabetes (GDM), thereby providing clinical guidance for the early prevention and control of GDM during pregnancy and the management of high-risk populations. Methods: A prospective cohort study design was employed, enrolling 870 pregnant women. Variables were screened using univariate Cox regression, followed by the construction of a multivariate Cox proportional hazards regression model to analyze the independent association between the percentage increase in TyG levels and the change in TyG levels at different time points and the incidence of GDM. Results: Among the 870 study participants, 119 developed GDM, resulting in an incidence rate of 13.68%. Multivariate Cox regression analysis showed that, after adjusting for confounding factors such as age, BMI, and family history of diabetes, elevated TyG levels in early pregnancy, elevated TyG levels in mid-pregnancy, and a greater percentage increase in the difference between TyG levels in early and mid-pregnancy were all independent risk factors for GDM, with elevated TyG levels in mid-pregnancy posing the highest risk. Conclusion: Elevated TyG indices during the first and second trimesters, as well as a progressive increase in TyG levels throughout pregnancy, are all independent risk factors for the development of gestational diabetes mellitus (GDM). These factors have certain reference value for evaluating GDM risk and provide a basis for the early prevention and management of gestational diabetes.

Indexed as

BiomarkersBlood GlucoseDiabetes, GestationalTriglyceridesAdultFemaleHumansIncidencePregnancyPrognosisProspective StudiesRisk FactorsBiomarkersBlood GlucoseTriglycerideschanges during pregnancygestational diabetesprospective cohort studyrisk of onsetTyG index

Identifiers

PMID42445879
PMCPMC13357217

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.