Can triglyceride related indices be reliable markers in the assessment of polycystic ovarian syndrome?

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dc.authoridGoynumer, Fikret Gokhan/0000-0002-3739-6008en_US
dc.authorscopusid24171968300en_US
dc.authorscopusid55763400700en_US
dc.authorscopusid56422232200en_US
dc.authorscopusid59129061100en_US
dc.authorwosidGoynumer, Fikret Gokhan/HCI-7000-2022en_US
dc.contributor.authorYavuzcan, Ali
dc.contributor.authorKeyif, Betul
dc.contributor.authorYavuzcan, Gizem
dc.contributor.authorGoynumer, Gokhan
dc.date.accessioned2024-08-23T16:04:01Z
dc.date.available2024-08-23T16:04:01Z
dc.date.issued2024en_US
dc.departmentDüzce Üniversitesien_US
dc.description.abstractObjectives: 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.en_US
dc.identifier.doi10.1515/tjb-2023-0215
dc.identifier.endpage265en_US
dc.identifier.issn0250-4685
dc.identifier.issn1303-829X
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85193302790en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage259en_US
dc.identifier.trdizinid1243840en_US
dc.identifier.urihttps://doi.org/10.1515/tjb-2023-0215
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1243840
dc.identifier.urihttps://hdl.handle.net/20.500.12684/14006
dc.identifier.volume49en_US
dc.identifier.wosWOS:001174514800001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.publisherWalter De Gruyter Gmbhen_US
dc.relation.ispartofTurkish Journal of Biochemistry-Turk Biyokimya Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectindexen_US
dc.subjectlipid accumulation producten_US
dc.subjectpolycystic ovary syndromeen_US
dc.subjecttriglyceride glucoseen_US
dc.subjecttriglyceride glucose -body massen_US
dc.subjectLipid-Accumulation Producten_US
dc.subjectInsulin-Resistanceen_US
dc.subjectGlucose-Toleranceen_US
dc.subjectWomenen_US
dc.titleCan triglyceride related indices be reliable markers in the assessment of polycystic ovarian syndrome?en_US
dc.typeArticleen_US

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