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. 2024 Oct 1;7(10):e2440583.
doi: 10.1001/jamanetworkopen.2024.40583.

Prevalence, Phenotypes, and Comorbidities of Polycystic Ovary Syndrome Among Indian Women

Collaborators, Affiliations

Prevalence, Phenotypes, and Comorbidities of Polycystic Ovary Syndrome Among Indian Women

Mohd Ashraf Ganie et al. JAMA Netw Open. .

Abstract

Importance: The prevalence of polycystic ovary syndrome (PCOS) varies across the globe. Indian studies on PCOS are limited by poor design, small sizes, regional representations, and varying methods.

Objectives: To estimate the nationwide prevalence of PCOS in India, examine the phenotypic spectrum, and assess the magnitude of comorbidities associated with PCOS.

Design, setting, and participants: This cross-sectional study recruited 9824 women aged 18 to 40 years from November 1, 2018, to July 31, 2022, across 5 zones of the country. A prevalidated questionnaire dichotomized women into screen-positive and screen-negative groups. Relevant clinical, hormonal, and sonographic assessments categorized women as either women with criteria-based PCOS (ie, National Institutes of Health [NIH] 1990 criteria, Rotterdam 2003 criteria, or Androgen Excess and Polycystic Ovary Syndrome Society [AE-PCOS] criteria), women with partial phenotypes (hyperandrogenism, oligomenorrhea, or polycystic morphology labeled as pre-PCOS), or healthy women, in addition to quantitating various comorbidities.

Main outcomes and measures: The prevalence and phenotypes of PCOS among women of reproductive age and the burden of comorbidities associated with PCOS.

Results: A total of 8993 women (mean [SD] age, 29.5 [6.2] years) were enrolled in this study; 196 women were already diagnosed with PCOS, 2251 were categorized as screen positive, and 6546 were categorized as screen negative. The mean (SD) age of screen-positive women (28.1 [6.4] years) was lower than that of screen-negative women (29.7 [6.1] years) (P < .001), and the mean (SD) age at menarche was higher in the former group (13.2 [1.3] vs 13.1 [1.2] years; P < .001). The national prevalence of PCOS was 7.2% (95% CI, 4.8%-10.8%) by NIH 1990 criteria, 19.6% (95% CI, 12.7%-29.2%) by Rotterdam 2003 criteria, and 13.6% (95% CI, 8.4%-21.6%) by AE-PCOS criteria. Overall, PCOS phenotypes C (501 [40.8%]) and D (301 [24.6%]) were the most common, and 492 women (pre-PCOS subgroup) had oligomenorrhea (n = 75), hyperandrogenism (n = 257), or polycystic ovarian morphology (n = 160) only. Among women with PCOS (n = 1224), obesity was present in 529 (43.2%), dyslipidemia in 1126 (91.9%), nonalcoholic fatty liver disease in 403 (32.9%), metabolic syndrome in 305 (24.9%), impaired glucose tolerance in 111 (9.1%), diabetes in 41 (3.3%), and hypertension in 101 (8.3%). The pre-PCOS subgroup (n = 492) displayed similar metabolic aberrations (dyslipidemia: 390 [79.3%]; metabolic syndrome: 78 [15.9%]; nonalcoholic fatty liver disease: 163 [33.1%]; impaired glucose tolerance: 62 [12.6%]; diabetes: 7 [1.4%]; and hypertension: 26 [5.3%]).

Conclusions and relevance: In this cross-sectional study of reproductive-age women recruited across India, the prevalence of PCOS was high, with phenotype C being predominant. Most of these women had metabolic abnormalities. These findings are crucial for developing preventive and therapeutic strategies, potentially integrating PCOS management into national health programs.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Ganie reported receiving grants from the Indian Council of Medical Research during the conduct of the study. Dr Sahay reported receiving honoraria from Novo Nordisk, USV Ltd, and Sun Pharma outside the submitted work. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Flow Diagram of the Women Recruited Into the Study
PCOS indicates polycystic ovary syndrome.
Figure 2.
Figure 2.. Different Phenotypes of Polycystic Ovary Syndrome
Phenotype A includes hyperandrogenism, oligomenorrhea, and polycystic ovarian morphology; phenotype B includes hyperandrogenism and oligomenorrhea; phenotype C includes hyperandrogenism and polycystic ovarian morphology; and phenotype D includes oligomenorrhea and polycystic ovarian morphology.
Figure 3.
Figure 3.. Burden of Comorbidities in Women With Polycystic Ovary Syndrome (PCOS), Women With Pre-PCOS, and Healthy Women
BMI indicates body mass index (calculated as weight in kilograms divided by height in meters squared); HDL-C, high-density lipoprotein cholesterol; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; LDL-C, low-density lipoprotein cholesterol; NAFLD, nonalcoholic fatty liver disease; NCEP-ATP III, National Cholesterol Education Program Adult Treatment Panel III; WHO, World Health Organization. aP < .05 for classic PCOS vs pre-PCOS. bP < .05 for classic PCOS vs healthy. cP < .05 for pre-PCOS vs healthy.

References

    1. Teede HJ, Tay CT, Laven JJE, et al. ; International PCOS Network . Recommendations from the 2023 international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Eur J Endocrinol. 2023;189(2):G43-G64. doi:10.1093/ejendo/lvad096 - DOI - PubMed
    1. Ganie MA, Rashid A, Baba MS, et al. . Pre-polycystic ovary syndrome and polymenorrhoea as new facets of polycystic ovary syndrome (PCOS): evidences from a single centre data set. Clin Endocrinol (Oxf). 2023;99(6):566-578. doi:10.1111/cen.14964 - DOI - PubMed
    1. Brower M, Brennan K, Pall M, Azziz R. The severity of menstrual dysfunction as a predictor of insulin resistance in PCOS. J Clin Endocrinol Metab. 2013;98(12):E1967-E1971. doi:10.1210/jc.2013-2815 - DOI - PMC - PubMed
    1. Balen AH, Conway GS, Kaltsas G, et al. . Polycystic ovary syndrome: the spectrum of the disorder in 1741 patients. Hum Reprod. 1995;10(8):2107-2111. doi:10.1093/oxfordjournals.humrep.a136243 - DOI - PubMed
    1. Apridonidze T, Essah PA, Iuorno MJ, Nestler JE. Prevalence and characteristics of the metabolic syndrome in women with polycystic ovary syndrome. J Clin Endocrinol Metab. 2005;90(4):1929-1935. doi:10.1210/jc.2004-1045 - DOI - PubMed

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