Can triglyceride related indices be reliable markers in the assessment of polycystic ovarian syndrome?
Turkish Journal of Biochemistry, cilt.49, sa.2, ss.259-265, 2024 (SCI-Expanded, Scopus, TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 49 Sayı: 2
- Basım Tarihi: 2024
- Doi Numarası: 10.1515/tjb-2023-0215
- Dergi Adı: Turkish Journal of Biochemistry
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.259-265
- Anahtar Kelimeler: index, lipid accumulation product, polycystic ovary syndrome, triglyceride glucose, triglyceride glucose -body mass
- Sağlık Bilimleri Üniversitesi Adresli: Evet
Özet
Objectives: This study aimed to evaluate the diagnostic utility of the triglyceride glucose (TyG), triglyceride glucose–body mass (TyG-BMI), and lipid accumulation product (LAP) indices for both screening polycystic ovary syndrome (PCOS) and diagnosing insulin resistance (IR) in women diagnosed with PCOS. Methods: Retrospective data from medical records of 124 women were analyzed, with 71 in the PCOS group and 53 in the non-PCOS group. The PCOS diagnosis followed the 2003 Rotterdam criteria. Basic clinical and biochemical parameters were compared. The TyG index was computed using the formula ln [triglyceride (TG) (mmol/L) × fasting plasma glukose (FPG) (mg/dL)/2]. TyG-BMI value was derived as TyG × BMI. LAP was calculated as (waist circumference (WC-58) × TG (mmol/L). IR was identified if Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) was >2.7. Results: TyG-BMI (AUC=0.62) and LAP indices (AUC=0.61) did not demonstrate statistically significant diagnostic performance for PCOS. Regarding IR in PCOS patients, the highest AUC was for TyG-BMI (0.84, 95 % CI: 0.73–0.93, p<0.001) with a cutoff at 116.15, showing 80 % sensitivity and 86 % specificity. LAP had an AUC of 0.86 with a cutoff of 30.21 (sensitivity 80 %, specificity 81 %), while TyG showed an AUC of 0.78 (95 % CI: 0.67–0.89, p<0.001) with a cutoff of 4.47, demonstrating a sensitivity of 70 % and specificity of 72 %. Conclusions: Numerous biochemical markers have been explored for PCOS detection, however, many are expensive, not universally available, and necessitate specific test kits. TyG, TyG-BMI, and LAP indices might not serve as reliable markers for PCOS screening but could offer utility in identifying IR in Turkish women diagnosed with PCOS.