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Chinese women with PCOS phenotypes A, B, C show higher BMI, WC, and blood pressure than phenotype D

Chinese women with PCOS phenotypes A, B, C show higher BMI, WC, and blood pressure than phenotype D
Photo by CDC / Unsplash
Key Takeaway
Note associations between PCOS phenotypes and cardiometabolic measures; do not infer causality.

This cross-sectional study analyzed 206 Chinese women with polycystic ovary syndrome (PCOS) to compare clinical characteristics and cardiovascular disease (CVD) risk prediction across four PCOS phenotypes (A, B, C, D). Phenotype distribution was: 104 women (50.5%) had phenotype A, 36 (17.5%) phenotype B, 19 (9.2%) phenotype C, and 47 (22.8%) phenotype D. Phenotype D served as the comparator group.

The main finding was that body mass index (BMI), waist circumference (WC), systolic blood pressure (SBP), and diastolic blood pressure (DBP) were all significantly higher (P<0.05) in women with phenotypes A, B, and C compared to those with phenotype D. The study did not report specific numerical values for these measures, only the direction and statistical significance of the differences. Safety and tolerability data were not reported.

Key limitations include the cross-sectional design, which can only assess associations, not establish causation between phenotypes and CVD risk factors. The authors also noted that differences across phenotypes in Chinese women remain unclear. The study setting, funding, and conflicts of interest were not reported. For clinical practice, this evidence suggests that PCOS phenotype may be associated with different anthropometric and hemodynamic profiles, but the findings are preliminary and require validation in prospective cohorts.

Study Details

Study typeCohort
EvidenceLevel 3
PublishedApr 2026
View Original Abstract ↓
BackgroundPolycystic ovary syndrome (PCOS) is associated with increased cardiovascular disease (CVD) risk, but differences across phenotypes in Chinese women remain unclear. This study aimed to characterize clinical profiles of PCOS phenotypes, predict CVD risks, and evaluate associations between phenotypes and CVD risk.MethodsA total of 206 women with PCOS were included from an initial cohort of 211 and classified into four phenotypes according to Rotterdam criteria. Clinical data, laboratory results, and imaging measurements were collected. CVD risks were estimated using the China-PAR model. One-way ANOVA and the Kruskal-Wallis test were used for continuous variables, and Pearson’s chi-square or Fisher’s exact test for categorical variables. Firth logistic regression was employed to assess the association between PCOS phenotypes and CVD risk, and mediation analysis detected the indirect effects.ResultsAmong 206 patients with PCOS, 104 (50.5%), 36 (17.5%), 19 (9.2%) and 47 (22.8%) were classified as phenotype A, B, C and D. BMI, WC, SBP, and DBP were significantly higher in phenotypes A, B, and C than in D (P
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