Triglyceride-glucose index: A promising biomarker for predicting risks of adverse pregnancy outcomes in Hangzhou, China
Jinghua Zhang, Binbin Yin, Ya Xi, Yongying Bai
Abstract
The triglyceride-glucose (TyG) index has been recommended as an alternative indicator of insulin resistance (IR). However, the association between the TyG index and adverse pregnancy outcomes remains to be elucidated. The present retrospective study was conducted at Women's Hospital, Zhejiang University School of Medicine and involved a total of 8,514 participants. Maternal fasting lipid profiles and glucose concentrations were measured. Based on the TyG index, the participants were categorized into quartiles. Logistic regression analysis was used to calculate odds ratios (ORs) for each quartile with reference to the first quartile, while receiver operating characteristic (ROC) curve analysis, Hosmer–Lemeshow test, and calibration curve analysis were employed to evaluate the predictive ability of the TyG index for adverse pregnancy outcomes. The TyG index was higher in patients with preeclampsia, preterm birth, and macrosomia. On univariate analysis, there was an increased risk of developing adverse pregnancy outcomes with increasing quartiles of the TyG. After adjusting for potential confounders in multivariable logistic regression analysis, a positive independent correlation was found between the TyG index and preeclampsia, preterm birth, and macrosomia. In ROC curve analysis for predicting the risks of preeclampsia, preterm birth, and macrosomia, the area under the curve (AUC) could reach 0.665, 0.588, and 0.606, respectively. These predictive models demonstrated good calibration (all P > 0.05). The TyG index showed a good predictive capacity for assessing the risk of adverse pregnancy outcomes, and it should receive sufficient clinical attention.