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    Can triglyceride related indices be reliable markers in the assessment of polycystic ovarian syndrome?
    (Walter De Gruyter Gmbh, 2024) Yavuzcan, Ali; Keyif, Betul; Yavuzcan, Gizem; Goynumer, Gokhan
    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) x fasting plasma glukose (FPG) (mg/dL)/2]. TyG-BMI value was derived as TyG x BMI. LAP was calculated as (waist circumference (WC-58) x 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.
  • Küçük Resim Yok
    Öğe
    Diagnosing Polycystic Ovary Syndrome Using Triglyceride-Related Indices: Is It Possible Without Rotterdam Criteria?
    (Aras Part Medical Int Press, 2023) Keyif, Betul; Yavuzcan, Ali; Kurdoglu, Mertihan
    [No abstract available]