Pre-polycystic ovary syndrome and polymenorrhoea as new facets of polycystic ovary syndrome (PCOS): Evidences from a single centre data set.

OBJECTIVE: Polycystic ovary syndrome (PCOS) is a complex disorder with diverse metabolic implications. Diagnosis typically relies on oligo-amenorrhoea (OA), hyperandrogenism (HA), and polycystic ovarian morphology (PCOM). However, the role of polymenorrhoea in PCOS remains understudied. Additionally, limited information exists regarding metabolic disturbances in women with partial PCOS phenotypes that do not meet diagnostic criteria. This extensive database aims to provide substantial evidence on the metabolic implications of polymenorrhoea and partial PCOS phenotypes. DESIGN: Prospective observational study. PATIENTS AND MEASUREMENTS: In this single-centre study, 6463 women with PCOS-like characteristics and 3142 age-matched healthy women were included. The study compared clinical (anthropometry, modified Ferriman Gallwey [mFG] score), hormonal (serum testosterone), and metabolic (plasma glucose, serum lipids, insulin) characteristics between women diagnosed with PCOS, those with partial PCOS phenotypes, and the healthy control group RESULTS: In all, 5174 women met Rotterdam criteria for PCOS diagnosis, while 737 were classified as Pre-PCOS, including HA (n = 538), OA (n = 121), or PCOM (n = 78). Common clinical features included oligomenorrhoea (75.5%), hirsutism (82.9%), obesity (27.2%), hypertension (1.6%), metabolic syndrome (19.6%), and diabetes mellitus (5.6%). Women diagnosed with PCOS, HA only, and OA only exhibited higher average body mass index, plasma glucose levels (both fasting and 2 h after the oral glucose tolerance test), and lipid fractions in comparison to those with PCOM and the healthy controls. However, indices of insulin resistance were similar among women with PCOS, HA, PCOM, and OA, albeit higher than in the healthy controls. The polymenorrhoea subgroup (5.9%) had lower BMI and serum testosterone, but similar mFG score, plasma glucose, insulin, and lipid levels as the oligomenorrhoea subgroup. CONCLUSION: The metabolic disturbances observed in Pre-PCOS women highlight the need to reassess diagnostic criteria. Including the polymenorrhoea subcategory in PCOS criteria is recommended due to similar metabolic dysfunctions as the oligomenorrhoea group.

Pattern of urinary albumin excretion in normotensive young and adolescent Indian women with polycystic ovary syndrome.

OBJECTIVE: Polycystic ovarian syndrome (PCOS) is a clinically heterogeneous endocrine disorder affecting up to 4-8% of women of reproductive age. The aim of this study was to evaluate the presence of microalbuminuria in women with PCOS and study its correlation with the various metabolic, clinical, and hormonal parameters. MATERIALS AND METHODS: A cross-sectional study involving 69 PCOS women was carried out in a tertiary care center hospital. The diagnosis of PCOS was made according to the Rotterdam criteria. Blood samples were collected in the follicular phase of the menstrual cycle and analyzed for fasting luteinizing hormone (LH), follicle stimulating hormone (FSH), prolactin (PRL), 17-hydroxyprogesterone (17-OHP), total testosterone (T), glucose, insulin, and lipid profile. Urinary albumin was measured in the first void spot urine sample. RESULTS: The mean age of the subjects was 22.0 ± 4.1 years and 21.8 ± 4.7 years in normoalbuminuric and microalbuminuric groups, respectively. Urinary albumin excretion (UAE) varied from 5 mg/l to 100 mg/ml, with a median of 5 mg/l. Microalbuminuria was observed in 17/69 (24.6%) of subjects. The mean UAE was 3.65 ± 4.44 mg/l in the normoalbuminuria group versus 45.29 ± 22.74 mg/l in the microalbuminuria group. Upon univariate analysis, hip circumference, diastolic blood pressure, and fasting blood glucose showed significant correlations with urinary albumin concentration (r = 0.264, 0.264, and 0.551, respectively; P = 0.028, 0.029, and 0.000, respectively). No association between UAE and the usual cardiovascular risk factors could be found upon regression analysis. CONCLUSION: About 24.6% of women with PCOS showed presence of microalbuminuria in the first void spot urine sample. Screening for the presence of microalbuminuria can help in early identification of a subset of PCOS women with a high risk for future CVD, who can be subjected to preventive strategies at the earliest. However, further studies are needed before recommending routine use of UAE in PCOS cases for the detection of CVD risk.