Evaluating the triglyceride glucose index as a novel method for assessing insulin resistance in Turkish women with polycystic ovary syndrome

Burçak Cavnar Helvacı; Sema Hepşen; Burcu Candemir; Erman Çakal

doi:10.47582/jompac.1601449

Evaluating the triglyceride glucose index as a novel method for assessing insulin resistance in Turkish women with polycystic ovary syndrome

Authors : Burçak Cavnar Helvacı, Sema Hepşen, Burcu Candemir, Erman Çakal

Pages : 33-38

Doi:10.47582/jompac.1601449

View : 52 | Download : 46

Publication Date : 2025-02-14

Article Type : Research Paper

Abstract :Aims: Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder in women of reproductive age, characterized by insulin resistance (IR), hyperandrogenism, and polycystic ovary morphology. IR is a significant contributor to the pathogenesis and long-term complications of PCOS, but current gold-standard methods for assessing IR are often impractical for routine clinical use. This study aimed to evaluate the performance of the triglyceride glucose (TyG) index in identifying IR among Turkish women with PCOS and to assess its variability across different PCOS phenotypes. Methods: This single-center, retrospective study included 247 patients diagnosed with PCOS according to the 2003 Rotterdam criteria. IR was assessed using both the TyG index and HOMA-IR. The study analyzed demographic and clinical data, including fasting plasma glucose, triglycerides, and various metabolic parameters. ROC curve analysis was used to determine the optimal TyG index cutoff for detecting IR. Results: The mean age of participants was 24.09±5.53 years, with a mean BMI of 28.12±6.38 kg/m². The study identified a mean HOMA-IR of 3.46±1.82 and a mean TyG index of 4.51±0.26. A significant positive correlation was found between HOMA-IR and the TyG index (r=0.370, p<0.001). The optimal TyG index cutoff for detecting IR was 4.44, with a sensitivity of 70% and a specificity of 60% (AUC=0.693, p=0.035). The TyG index effectively identified IR across different PCOS phenotypes, though HOMA-IR revealed significant differences between some phenotypes. Conclusion: This study is the first to demonstrate the effectiveness of the TyG index for predicting IR in Turkish women with PCOS and to explore its variability among phenotypes. The TyG index, based on fasting plasma glucose and triglyceride levels, offers a practical, cost-effective alternative to traditional methods for evaluating IR in PCOS.
Keywords : trigliserid glukoz indeksi, insülin direnci, polikistik over sendromu, insülin direncinin homeostatik model değerlendirmesi

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