PCOS phenotypes and hematological immune-inflammatory indices: A comparative evaluation

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dc.authorid0000-0002-0962-1036
dc.authorid0009-0001-7547-4695
dc.authorid0000-0002-4381-6099
dc.authorid0000-0003-2287-799X
dc.contributor.authorKından, Aykut
dc.contributor.authorKından, Goncagül
dc.contributor.authorSoysal, Çağanay
dc.contributor.authorTuran, Volkan
dc.date.accessioned2026-01-28T08:57:37Z
dc.date.available2026-01-28T08:57:37Z
dc.date.issued2025
dc.departmentFakülteler, Tıp Fakültesi, Cerrahi Tıp Bilimleri Bölümü, Kadın Hastalıkları ve Doğum Ana Bilim Dalı
dc.description.abstractTo evaluate hematological immune-inflammatory indices across different polycystic ovary syndrome (PCOS) phenotypes and assess their potential as diagnostic biomarkers. This retrospective cross-sectional study included 89 women aged 18–40 years diagnosed with PCOS according to the Rotterdam criteria, stratified into four phenotypes (A–D). Demographic, anthropometric, reproductive, biochemical, and hormonal data were extracted from clinical records. Hematological indices were calculated from complete blood counts. Group comparisons were performed using appropriate statistical tests, correlations with metabolic and hormonal parameters were assessed, and logistic regression analyses were conducted to identify independent predictors. Phenotype A demonstrated significantly higher body mass indeks (BMI), waist circumference, fasting glucose, insulin, and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) values compared with other phenotypes (all p < 0.01). Neutrophil-to-Lymphocyte Ratio (NLR), Monocyte-to-Lymphocyte Ratio (MLR), and Systemic Immune-Inflammation Index (SII) differed significantly across phenotypes, whereas Platelet-to-Lymphocyte Ratio (PLR) did not. ROC analysis revealed that SII had the highest discriminative ability (AUC=0.822, p < 0.001). NLR (AUC=0.663, p = 0.020) and MLR (AUC=0.642, p = 0.043) also showed moderate predictive value. Correlation analyses indicated positive associations of NLR and SII with total testosterone and Free Androgen Index (FAI), and negative correlations with Sex Hormone-Binding Globulin (SHBG) and High-Density Lipoprotein (HDL) cholesterol. Logistic regression identified BMI, SII, and LH/FSH ratio as independent pre dictors of specific phenotypes, further supporting their role as clinically relevant biomarkers. Hematological immune-inflammatory indices, particularly SII, may serve as cost-effective and accessible biomarkers for dis tinguishing PCOS phenotypes.
dc.identifier.citationKından, A., Kından, G., Soysal, Ç., & Turan, V. (2025). PCOS phenotypes and hematological immune-inflammatory indices: A comparative evaluation. Journal of Reproductive Immunology, 173, pp. 1-7. https://doi.org/10.1016/j.jri.2025.104823
dc.identifier.doi10.1016/j.jri.2025.104823
dc.identifier.endpage7
dc.identifier.issn0165-0378
dc.identifier.issn1872-7603
dc.identifier.pmidPMID: 41411880
dc.identifier.scopusqualityQ1
dc.identifier.startpage1
dc.identifier.urihttps://doi.org/10.1016/j.jri.2025.104823
dc.identifier.urihttps://hdl.handle.net/20.500.13055/1277
dc.identifier.volume173
dc.identifier.wosWOS:001644745300001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.indekslendigikaynak.otherSCI-E - Science Citation Index Expanded
dc.institutionauthorTuran, Volkan
dc.institutionauthorid0000-0003-2287-799X
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofJournal of Reproductive Immunology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectPolycystic Ovary Syndrome
dc.subjectPhenotypes
dc.subjectInflammatory Indices
dc.subjectSystemic Immune-Inflammation Index
dc.titlePCOS phenotypes and hematological immune-inflammatory indices: A comparative evaluation
dc.typeArticle
dspace.entity.typePublication

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