The Predictive Value of TYG Index and TYG-BMI Index for Polycystic Ovarian Syndrome Combined with Metabolic Syndrome
- VernacularTitle:甘油三酯-葡萄糖指数及甘油三酯-葡萄糖-体质量指数对多囊卵巢综合征合并代谢综合征的预测价值
- Author:
Wenxin LIU
1
;
Shan LI
1
;
Xiaoli LI
1
Author Information
1. 邢台市人民医院妇产科,河北邢台 054001
- Publication Type:Journal Article
- Keywords:
Polycystic ovarian syndrome;
Metabolic syndrome;
Triglyceride-glucose index;
Triglyceride-glu-cose-body mass index;
Prediction
- From:
Journal of Practical Obstetrics and Gynecology
2025;41(8):693-698
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the predictive value of triglyceride-glucose(TYG)index and triglyceride-glu-cose-body mass index(TYG-BMI)for polycystic ovarian syndrome(PCOS)combined with metabolic syndrome(MetS).Methods:Clinical data of 109 PCOS patients who visited Xingtai People's Hospital from January 1,2022 to December 31,2023 were collected as the training group.They were divided into the MetS combined group(32 cases)and the non-Mets combined group(77 cases)according to whether they were combined with MetS.U-sing univariate and multivariate Logistic regression analysis to investigate the influencing factors of PCOS com-bined with MetS,as well as the predictive value of TYG index and TYG-BMI index for PCOS combined with MetS.In addition,according to a ratio of 7∶3 between the training group and the validation group,the clinical data of 47 patients with PCOS who visited the hospital from January 1,2024 to September 30,2024 were collected as the vali-dation group to conduct external validation of the prediction model.Results:①The serum testosterone(T),lute-inizing hormone(LH),low-density lipoprotein cholesterol(LDL-C),steady-state model insulin resistance index(HOMA-IR),TYG index,and TYG-BMI index in the MetS group were higher than those in the non MetS group(P＜0.05).② Multivariate Logistic regression analysis showed that abnormal values of LH,HOMA-IR,TYG in-dex,and TYG-BMI index were influencing factors for PCOS patients with MetS(OR＞1,P＜0.05).③The area under the curve(AUC)predicted by TYG index and TYG-BMI index for PCOS combined with MetS was 0.812 and 0.763,respectively.④Constructing predictive models for TYG index,TYG-BMI index,LH,and HOMA-IR,the clinical decision curve showed a maximum net benefit rate of 0.294.The column chart model showed that the con-sistency index(C-index)for predicting the presence of MetS in PCOS patients was 0.875.⑤The external valida-tion results of the prediction model show that the AUC of the model predicting PCOS patients with MetS was 0.948.Conclusions:TYG index and TYG-BMI index can be used for predicting MetS in PCOS patients.The risk prediction model constructed with LH and HOMA-IR can visualize the risk and has ideal predictive value.
