Interaction between triglyceride-glucose index and body mass index on pregnancy loss in Chinese women with polycystic ovary syndrome: a secondary analysis of a randomized clinical trial

This study aims whether triglyceride-glucose Index (TyG) / body mass index (BMI) mediates associations of BMI/TyG with insulin resistance (IR), metabolic syndrome (MetS), and pregnancy outcomes and the extent of interaction or joint relations of TyG and BMI with IR, MetS, and pregnancy outcomes. This study is a secondary analysis of the Polycystic Ovary Syndrome Acupuncture and Clomiphene Trial. Eight hundred fifty-five women with PCOS were recruited from 27 hospitals in mainland China between 2012 and 2015. Mediation, interaction and joint analysed of BMI and TyG on IR, MetS and pregnancy outcomes, using generalized linear model, stepwise regression, multinomial logistic regression, and restricted cubic spline. The predictive performance of TyG + BMI for Pregnancy Loss was determined using receiver operating characteristic curve analysis. A significant interaction between BMI and TyG was observed for pregnancy loss (P < 0.05). Simple effects analysis further revealed distinct patterns across TyG strata: Within the TyG T2 tertile, pregnancy loss differed significantly between BMI < 24.0 kg/m², BMI 24.0–27.9 kg/m², and BMI ≥ 28.0 kg/m². Within the TyG T3 tertile, both BMI 24.0–27.9 kg/m² and BMI ≥ 28.0 kg/m² showed significant differences compared to BMI < 24.0 kg/m². Conversely, under BMI stratification: in the BMI ≥ 28.0 kg/m² subgroup, TyG T2 and T3 exhibited significant differences relative to TyG T1. The joint association analysis demonstrated that individuals with BMI ≥ 28.0 kg/m² and TyG T3 had substantially elevated risks compared to those with BMI < 24.0 kg/m² and TyG T1. Adjusted odds ratios (ORs) were as follows: IR (OR: 11.548, 95% CI: 3.468–38.452); MetS (OR: 46.207, 95% CI: 3.917–545.012); Ovulation (OR: 0.096, 95% CI: 0.025–0.371); Conception (OR: 0.204, 95% CI: 0.059–0.701); Clinical Pregnancy (OR: 0.196, 95% CI: 0.050–0.772). For the TyG + BMI, the AUC was 0.604 (sensitivity: 68%; specificity: 50%). Interaction was found between BMI and TyG on the prevalence of pregnancy loss. ClinicalTrials. gov NCT01573858 (2012.04.10); Chinese Clinical Trial Registry ChiCTR-TRC-12002081 (date: 2012.03.20).

Authors

Institutions

Publication Details

Journal
Reproductive Biology and Endocrinology
Published
2026-03-17
DOI
https://doi.org/10.1186/s12958-026-01531-2
Primary Topic
Ovarian function and disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interaction between triglyceride-glucose index and body mass index on pregnancy loss in Chinese women with polycystic ovary syndrome: a secondary analysis of a randomized clinical trial

Xiaoke Wu, Baichao Shi, Hang Ge, Jingshu Gao et al.
Reproductive Biology and Endocrinology
Ovarian function and disorders
article

Interaction between triglyceride-glucose index and body mass index on pregnancy loss in Chinese women with polycystic ovary syndrome: a secondary analysis of a randomized clinical trial

Xiaoke Wu, Baichao Shi, Hang Ge, Jingshu Gao, Jiaxing Feng, Fengjuan Lu, Muxin Guan, Jiannan Yu, Mengyi Zhu, Zhuwei Gao, Yu Xin Wang, Hong Yu
article en

Abstract

This study aims whether triglyceride-glucose Index (TyG) / body mass index (BMI) mediates associations of BMI/TyG with insulin resistance (IR), metabolic syndrome (MetS), and pregnancy outcomes and the extent of interaction or joint relations of TyG and BMI with IR, MetS, and pregnancy outcomes. This study is a secondary analysis of the Polycystic Ovary Syndrome Acupuncture and Clomiphene Trial. Eight hundred fifty-five women with PCOS were recruited from 27 hospitals in mainland China between 2012 and 2015. Mediation, interaction and joint analysed of BMI and TyG on IR, MetS and pregnancy outcomes, using generalized linear model, stepwise regression, multinomial logistic regression, and restricted cubic spline. The predictive performance of TyG + BMI for Pregnancy Loss was determined using receiver operating characteristic curve analysis. A significant interaction between BMI and TyG was observed for pregnancy loss (P < 0.05). Simple effects analysis further revealed distinct patterns across TyG strata: Within the TyG T2 tertile, pregnancy loss differed significantly between BMI < 24.0 kg/m², BMI 24.0–27.9 kg/m², and BMI ≥ 28.0 kg/m². Within the TyG T3 tertile, both BMI 24.0–27.9 kg/m² and BMI ≥ 28.0 kg/m² showed significant differences compared to BMI < 24.0 kg/m². Conversely, under BMI stratification: in the BMI ≥ 28.0 kg/m² subgroup, TyG T2 and T3 exhibited significant differences relative to TyG T1. The joint association analysis demonstrated that individuals with BMI ≥ 28.0 kg/m² and TyG T3 had substantially elevated risks compared to those with BMI < 24.0 kg/m² and TyG T1. Adjusted odds ratios (ORs) were as follows: IR (OR: 11.548, 95% CI: 3.468–38.452); MetS (OR: 46.207, 95% CI: 3.917–545.012); Ovulation (OR: 0.096, 95% CI: 0.025–0.371); Conception (OR: 0.204, 95% CI: 0.059–0.701); Clinical Pregnancy (OR: 0.196, 95% CI: 0.050–0.772). For the TyG + BMI, the AUC was 0.604 (sensitivity: 68%; specificity: 50%). Interaction was found between BMI and TyG on the prevalence of pregnancy loss. ClinicalTrials. gov NCT01573858 (2012.04.10); Chinese Clinical Trial Registry ChiCTR-TRC-12002081 (date: 2012.03.20).

Reproductive Biology and Endocrinology
Zhejiang Chinese Medical University (CN), Heilongjiang University of Chinese Medicine (CN), First Affiliated Hospital of Heilongjiang University of Chinese Medicine (CN)
Openalex Percentile: Top 18%
Ovarian function and disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.