biostudies-literatureLiang XShenzhen Second People's Hospital Clinical Research Fund of Guangdong Province High-level Hospital Construction ProjectShenzhen Fund for Guangdong Provincial High-level Clinical Key SpecialtiesSanming Project of Medicine in Shenzhen170https://www.ebi.ac.uk/biostudies/studies/S-EPMC11834603biostudies-literatureUnknown25(1)<h4>Background</h4>Limited research has examined the potential association between triglyceride glucose-body mass index (TyG-BMI) and gestational diabetes mellitus (GDM). The objective of this investigation was to analyze this linkage and evaluate TyG-BMI's capability to predict GDM.<h4>Methods</h4>This research employed secondary data derived from a prospective cohort in South Korea, which included 588 pregnant women with singleton gestations, collected between November 2014 and July 2016. To investigate the connection between TyG-BMI and GDM, logistic regression and sensitivity analyses were performed. Furthermore, an analysis of receiver operating characteristics (ROC) was conducted to assess the prognostic accuracy of TyG-BMI in relation to GDM.<h4>Results</h4>The cohort exhibited a mean age of 32.07 ± 3.80 years, with 36 individuals (6.12%) manifesting GDM during the interval of 24 to 28 weeks of gestation. Following the adjustment for possible confounding variables, an increased TyG-BMI was associated with an elevated risk of GDM, as indicated by an odds ratio (OR) of 1.02 (95% CI: 1.01-1.04). Additionally, the area under the curve (AUC) for TyG-BMI's predictive performance was recorded at 0.7979 (0.7143-0.8814), with an optimal threshold established at 211.03, which resulted in a specificity of 86.23% and a sensitivity of 66.67%.<h4>Conclusions</h4>In this South Korean cohort, increased TyG-BMI during early pregnancy (10-14 weeks) was significantly associated with the onset of GDM (during pregnancy 24-28 weeks). TyG-BMI could be integrated into clinical practice as a complementary preliminary screening tool for detecting women who are at increased risk of GDM.BMC pregnancy and childbirthAssociation between triglyceride glucose-body mass index and gestational diabetes mellitus: a prospective cohort study.PMC11834603No. SZGSP006Grant No.20223357008, No.2023xgyj3357003No. SZSM202211016Li XGui SXing ZLi YLai KLiang XRen DfalseAssociation between triglyceride glucose-body mass index and gestational diabetes mellitus: a prospective cohort study.<h4>Background</h4>Limited research has examined the potential association between triglyceride glucose-body mass index (TyG-BMI) and gestational diabetes mellitus (GDM). The objective of this investigation was to analyze this linkage and evaluate TyG-BMI's capability to predict GDM.<h4>Methods</h4>This research employed secondary data derived from a prospective cohort in South Korea, which included 588 pregnant women with singleton gestations, collected between November 2014 and July 2016. To investigate the connection between TyG-BMI and GDM, logistic regression and sensitivity analyses were performed. Furthermore, an analysis of receiver operating characteristics (ROC) was conducted to assess the prognostic accuracy of TyG-BMI in relation to GDM.<h4>Results</h4>The cohort exhibited a mean age of 32.07 ± 3.80 years, with 36 individuals (6.12%) manifesting GDM during the interval of 24 to 28 weeks of gestation. Following the adjustment for possible confounding variables, an increased TyG-BMI was associated with an elevated risk of GDM, as indicated by an odds ratio (OR) of 1.02 (95% CI: 1.01-1.04). Additionally, the area under the curve (AUC) for TyG-BMI's predictive performance was recorded at 0.7979 (0.7143-0.8814), with an optimal threshold established at 211.03, which resulted in a specificity of 86.23% and a sensitivity of 66.67%.<h4>Conclusions</h4>In this South Korean cohort, increased TyG-BMI during early pregnancy (10-14 weeks) was significantly associated with the onset of GDM (during pregnancy 24-28 weeks). TyG-BMI could be integrated into clinical practice as a complementary preliminary screening tool for detecting women who are at increased risk of GDM.2025-01-01T00:00:00Z2025 Feb2026-06-02T01:57:39.368Z2025-04-04T02:12:42.668ZS-EPMC118346033996243410.1186/s12884-025-07294-9