Metabolic Syndrome Severity Score in Subjects with and without Poly Cystic Ovarian Syndrome.

Autor: Khan, Sikandar Hayat, Hafeez, Ayesha, Shahid, Rahat, Noor, Chaudhry Qamar Ul Haq, Hafeez, Javeria, Gillani, Mehreen
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Zdroj: Pakistan Armed Forces Medical Journal; Oct2024, Vol. 74 Issue 5, p1465-1465, 1p
Abstrakt: Objective: To compare polycystic ovarian syndrome and their defining criteria with metabolic syndrome severity score among females with and without polycystic ovarian syndrome. Study Design: Comparative cross-sectional study. Place and Duration of Study: Naval Hospital Islamabad, from Jan 2018 to Dec 2021. Methodology: We evaluated 293 female subjects for Poly Cystic Ovarian Syndrome after several exclusions who presented with an initial complaint of disturbances in menstrual cycles. These subjects underwent clinical examination including blood pressure and anthropometric indices and measurements of modified Ferriman Gallway score. Biochemical measurements included fasting plasma glucose, HDL cholesterol, triglycerides and insulin measurement. These parameters were measured for various components included in defining the Poly Cystic Ovarian Syndrome as per Rotterdam criteria and Metabolic Syndrome Severity Score equation to compare metabolic syndrome severity and insulin resistance among subjects with Poly Cystic Ovarian Syndrome and without Poly Cystic Ovarian Syndrome. Results: Mean age among participants were 29.46±6.74 years. Disturbances in menstrual cycle reporting oligo/anovulation was reported by (181/293) 61.8% in comparison to (112/293) 38.2%. Hirsutism (modified Ferriman Gallway score>8) was present in (142/293) 48.5%. Radiological findings pointing towards Poly Cystic Ovarian Syndrome diagnosis were found in (72/293) 24.6%. Metabolic Syndrome Severity Score showed higher correlation with age, and insulin resistance in contrast to hirsutism and free androgen indices. Hirsutism was higher among oligo/anovulation females than participants without menstrual complaints (14.17+8.99 vs. 11.16+7.88, p=0.004). Similarly, biochemical hyperandrogenism Free Androgen Index was higher among oligo/anovulation subjects vs. those without oligo/anovulation females (5.24+4.52 vs 3.66+2.97, p=0.001). Metabolic Syndrome Severity Score and insulin resistance were not found to be significantly different among females having oligo/anovulation or hirsutism. We observed that Body Mass Index was significantly associated with Metabolic Syndrome Severity Score and insulin resistance than Rotterdam defined Poly Cystic Ovarian Syndrome criteria. Conclusion: Metabolic Syndrome Severity Score equation does not associate with Poly Cystic Ovarian Syndrome criteria as defined by Rotterdam. Insulin resistance was mildly raised among Poly Cystic Ovarian Syndrome females. We interpret that obesity wherever associated with Poly Cystic Ovarian Syndrome was the reason behind mildly raised insulin resistance or relationship with Metabolic Syndrome Severity Score equation. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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