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Objective <p>To determine different clinical, hormonal and biochemical parameters among all four phenotypes of women with PCOS in Eastern India that may help in identifying and intervening the at risk group of women going to develop metabolic syndrome.</p> Methods <p>This is a cross-sectional study involving women from Eastern India, suffering from PCOS attending Gynaecological OPD at IPGMER, Kolkata. Consecutive 126 PCOS women recruited, diagnosed using revised Rotterdam criteria 2003, were categorized into four different PCOS phenotypes. Demographic, clinical, biochemical, endocrine and metabolic parameters were analyzed, using SPSS 11.0.</p> Results <p>The differences in the levels of Fasting Insulin, glycosylated hemoglobin (Hb A1C), Triglyceride, Cholesterol, high density lipoprotein cholesterol, Total Testosterone, Anti-Müllerian hormone and insulin resistance were statistically significant across the four groups. The prevalence of obesity, abnormal of lipid profile, insulin resistance were highest in phenotype B. Prevalence of metabolic syndrome was much higher in phenotypes A and B (19.51% and 20.0%) compared with phenotype C and D (7.69% and 7.41%).</p> Conclusion <p>It’s important to recognize PCOS phenotypes, correct the hormonal and metabolic disorder in time to rescue them before PCOS becomes a full blown metabolic syndrome.</p>

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Metabolic Risk Profile of Eastern Indian Women with Different Phenotypes of Polycystic Ovary Syndrome

  • 期刊论文

  • 发表日期：

    2025年8月7日

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  • Suparna Biswas,
  • Kasturi Mukherjee,
  • Raghunath Bhattacharyya,
  • Ananya Mukherjee,
  • Subhash Chandra Biswas,
  • Satinath Mukhopadhyay

摘要

Objective

To determine different clinical, hormonal and biochemical parameters among all four phenotypes of women with PCOS in Eastern India that may help in identifying and intervening the at risk group of women going to develop metabolic syndrome.

Methods

This is a cross-sectional study involving women from Eastern India, suffering from PCOS attending Gynaecological OPD at IPGMER, Kolkata. Consecutive 126 PCOS women recruited, diagnosed using revised Rotterdam criteria 2003, were categorized into four different PCOS phenotypes. Demographic, clinical, biochemical, endocrine and metabolic parameters were analyzed, using SPSS 11.0.

Results

The differences in the levels of Fasting Insulin, glycosylated hemoglobin (Hb A1C), Triglyceride, Cholesterol, high density lipoprotein cholesterol, Total Testosterone, Anti-Müllerian hormone and insulin resistance were statistically significant across the four groups. The prevalence of obesity, abnormal of lipid profile, insulin resistance were highest in phenotype B. Prevalence of metabolic syndrome was much higher in phenotypes A and B (19.51% and 20.0%) compared with phenotype C and D (7.69% and 7.41%).

Conclusion

It’s important to recognize PCOS phenotypes, correct the hormonal and metabolic disorder in time to rescue them before PCOS becomes a full blown metabolic syndrome.