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Updated: Jan 5, 2026

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Published on: March 5, 2022
Comparison of the Different PCOS Phenotypes Based on Clinical Metabolic, and Hormonal Profile, and their Response to
Garima Sachdeva1, Shalini Gainder1, Vanita Suri1
1Department of Obstetrics and Gynaecology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Objective:
To compare the different polycystic ovarian syndrome (PCOS) phenotypes based on their clinical, metabolic, hormonal profile, and their differential response to clomiphene.
Design:
Prospective observational study.
Setting:
Infertility clinic, a government hospital.
Sample Size:
164 women with PCOS-related infertility.
Materials And Methods:
Sample population was divided into four phenotypes based on the NIH (National Institute of Health) consensus panel criteria. The incremental dose of clomiphene from 50 to 150 mg/day over three cycles was given.
Outcome Measures:
Clinical history, metabolic, hormonal profile, and ultrasound features of each phenotype. Also, the response to clomiphene citrate was studied as presence or absence of ovulation.
Results:
The prevalence of phenotypes A, B, C, and D were 67.7%, 11%, 17.7%, and 3.6%, respectively. Phenotype A had significantly higher weight, body mass index, clinical, and biochemical hyperandrogenism, menstrual irregularities, ovarian reserve parameters, fasting insulin, HOMA-IR, and more deranged lipid profile (P < 0.05). Clomiphene resistance was significantly more common in phenotype A (P < 0.05). No significant differences were noted in the waist circumference, waist-hip ratio, blood pressure and blood sugar values (fasting, 1-hour postprandial, 2-hour postprandial). Also, the Follicle Stimulating Hormone (FSH), Luteinizing Hormone (LH), LH-FSH ratio, 17-hydroxyprogesterone, and vitamin D levels were not significantly different among various PCOS phenotypes.
Conclusion:
Full-blown PCOS (phenotype A) is at a higher risk of adverse metabolic and cardiovascular outcomes as compared with the others, and phenotype D is the least severe phenotype. Thus, the phenotypic division of patients with PCOS-related infertility can help in prognosticating the patients about the severity of the disease and the fertility outcome.
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