The Role of Triglyceride/Glucose Index in patients with Polycystic Ovary Syndrome
DOI:
https://doi.org/10.21613/GORM.2025.1586Keywords:
Insulin resistance, Polycystic ovary syndrome , Triglyceride/glucose indexAbstract
OBJECTIVE: Our study aimed to examine the function of triglyceride/glucose (TyG) index, TyG-BMI, HOMA-IR, and conventional lipid ratios in determining IR in women with PCOS and to evaluate whether the TyG index is a clinical marker for IR.
STUDY DESIGN: A total of 171 individuals with PCOS and 93 control patients who were admitted to our gynecology clinic between January 2018 and January 2024 were evaluated retrospectively. BMI, FBG, QUICKI, HOMA-β, HOMA-IR, FSH, LH, TyG-BMI, TyG, LDL-C, HDL-C, TG, TC, and fasting insulin levels of all patients were retrieved from the hospital database and evaluated retrospectively.
RESULTS: The TyG index was significantly higher (8.35±0.44) in the PCOS group compared to the control group (8.23±0.36) (p=0.04). The PCOS group had a significantly higher TyG-BMI index (217.93±46.2) than the control group (199.16±42.4) (p=0.026). The PCOS group had a substantially higher TC/HDL-C ratio (4.52±1.36) than the control group (3.94±1.62) (p=0.016). The PCOS group had a significantly higher TG/HDL-C ratio (2.75±1.18) than the control group (2.15±1.12) (p=0.008).
CONCLUSION: According to our research, the TyG index and TyG-BMI demonstrated a strong predictive power in identifying impaired insulin sensitivity in female PCOS patients. The TyG index can serve as a potential surrogate marker for calculating IR in female PCOS patients, as TG and glucose tests are both commonly performed and cost-effective. Further large-scale prospective and epidemiological studies are needed to validate these findings.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Ufuk Atlihan, Selcuk Erkilinc, Burak Ersak, Ferruh Acet, Ali Cenk Ozay, Onur Yavuz, Huseyin Aytug Avsar, Can Ata, Tevfik Berk Bildaci

This work is licensed under a Creative Commons Attribution 4.0 International License.
All the articles published in GORM are licensed with "Creative Commons Attribution 4.0 License (CC BY 4.0)". This license entitles all parties to copy, share and redistribute all the articles, data sets, figures and supplementary files published in this journal in data mining, search engines, web sites, blogs and other digital platforms under the condition of providing references.



