Polycystic Ovarian Syndrome: Clinical Correlation with Biochemical Status

Rahila Yousouf, Musadiq Khan, Zeenat Kounsar, Shahnawaz Ahangar, Wasim Abdullah Lone

Department of General Surgery, Government Medical College, Srinagar, Kashmir.
Department of Obstetrics and Gynecology, Government Medical College, Srinagar, Kashmir.

DOI: 10.4236/ss.2012.35048                

Abstract

Objective: To find out the correlation between various biochemical and clinical features of polycystic ovarian syndrome and to determine the best hormonal marker for the same. Material and Methods: The study included 100 patients of polycystic ovary syndrome (50 married & 50 unmarried) and a control group comprising of 50 women (25 married & 25 unmarried) in the age group of 18 - 30 years. The pregnant females and those having hyperandrogenism due to any other endocrine disorders were excluded. Results: Mean age was 27.66 years in the married study group and 25.46 years in the unmarried study group. About 71% of patients had oligomenorrhea. It significantly correlated with raised LH:FSH ratio and raised total testosterone levels. Body mass index was raised (>25 kg/m2) in 66.7% married and 72.66% unmarried patients in study group and in 22% in control group. 95% of the patients in the study group and 4% in the control group were detected to have polycystic ovaries on ultrasonography. 62% of the patients had raised LH levels; total testosterone was elevated in 57.7%. The LH:FSH ratio was raised in 41% in study group patients more in the unmarried group 56% than in married group 26%. 20% of patients in the control group had an elevated LH:FSH ratio. Total testosterone level was elevated in 60% of our patients. None of the patient in the control group had elevated testosterone levels. About 31% of the patients in study group were hirsute. Conclusion: Hormonal values correlate well with polycystic ovarian syndrome and serum total testosterone served as the best hormonal marker for such patients.

Keywords

Polycystic Ovarian Syndrome; Hormonal Analysis; Clinical Correlation; Best Marker

Conflicts of Interest

The authors declare no conflicts of interest.

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