Analyzing the Biochemical, Clinical, and Hormonal Characteristics of Patients with Polycystic Ovary Syndrome

Authors : Tuğba GÜRBÜZ, Şebnem ALANYA TOSUN

Pages : 478-484

View : 40 | Download : 9

Publication Date : 2021-10-09

Article Type : Research Paper

Abstract :Aim: To analyze the biochemical, clinical, and hormonal characteristics of patients with four phenotypes of Polycystic ovary syndrome insert ignore into journalissuearticles values(PCOS);. Method: A total of 225 patients admitted to xxx Gynecology and Obstetric outpatient clinic and xxx University Faculty of Medicine Gynecology and Obstetric clinic between January 2019 and January 2020 diagnosed as PCOS and healthy controls were included in the study. The revised Rotterdam criteria were applied to diagnose PCOS. The patients with PCOS were divided into Type I classic, Type II classic, Ovulatory and Normoandrogenic PCOS. Biochemical, clinical, and hormonal values were compared. Results: The mean age of the participants is 28 insert ignore into journalissuearticles values(±5.7); and the mean body mass index insert ignore into journalissuearticles values(BMI); is 26.15insert ignore into journalissuearticles values(±5.36);. The mean Ferriman Gallwey Score insert ignore into journalissuearticles values(FGS); is 7.4insert ignore into journalissuearticles values(±5.4);, which is normal. There is a statistically significant difference between the four PCOS groups and control group in terms of age insert ignore into journalissuearticles values(p-value=0.000);, BMI insert ignore into journalissuearticles values(p-value=0.000);, Luteinizing hormone / Follicle stimulating hormone insert ignore into journalissuearticles values(LH/FSH); insert ignore into journalissuearticles values(p-value=0.000);, and fasting blood sugar insert ignore into journalissuearticles values(p-value=0.01);. There is a statistically significant difference among the four phenotypes in terms of BMI insert ignore into journalissuearticles values(p-value =0.002);, LH/FSH insert ignore into journalissuearticles values(p-value =0.000);, LH insert ignore into journalissuearticles values(p-value =0.000);, free T4 insert ignore into journalissuearticles values(p-value =0.01);, fasting insulin insert ignore into journalissuearticles values(p-value =0.001);, total testosterone insert ignore into journalissuearticles values(p-value =0.000);, FGS insert ignore into journalissuearticles values(p-value =0.000);, etc. Conclusion: Age, BMI, LH/FSH, FSH, LH, fasting blood sugar, and hirsutism are good predictors of PCOS.
Keywords : Polycystic Ovary Syndrome, Phenotype, Anovulation, Hyperandrogenism, Hirsutism

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