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Indian journal of endocrinology and metabolism · 2019

Comparison of the Different PCOS Phenotypes Based on Clinical Metabolic, and Hormonal Profile, and their Response to Clomiphene.

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Sachdeva Garima, Gainder Shalini, Suri Vanita, Sachdeva Naresh, Chopra Seema

Аннотация

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.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

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