Indian Journal of Obstetrics and Gynecology Research


Threshold BMI to predict Non-Insulin-resistance in PCOS


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Author Details: Sangeeta Shah

Volume : 3

Issue : 2

Online ISSN : 2394-2754

Print ISSN : 2394-2746

Article First Page : 153

Article End Page : 156


Abstract

 

Objectives: To suggest a threshold BMI at which IR becomes significant.
Methods: This is a cross sectional study conducted at Gandhi Hospital, a tertiary care centre, teaching hospital at Hyderabad, India. The study includes 167patients diagnosed as PCOS by revised Rotterdam criteria in the age-group of 18-30 years attending the gynaecology O.P between January 2013 to August2013. All were subjected to a uniform questionnaire, medical examination, investigations, inclusion and exclusion criteria.
Results: 40% of 167 PCOS patients studied had IR. 87.88% of 66 IR PCOS patients had a BMI >25 kg/m² (Sensitivity- 87.88%). 60.39% of 101 non-IR PCOS patients had BMI <25kg/m² (Specificity-60.39%). Among the 98 PCOS patients with BMI >25 kg/m²,58 (59.18%) had IR. Hence the predictive value of positive test is 59.18%. Among 69 PCOS patients with BMI <25,61(88.4%) had no IR. Hence the predictive value of negative test is 88.4%. Correlation coefficient (r- value) between the two data sets of BMI and IR was 0.842. This shows that increasing BMI and IR are strongly correlated.
Conclusion: IR strongly correlates with BMI. Hence BMI is a simple and easy tool to predict Non-IR among PCOS patients. BMI<25kg/m² is highly predictive of Non-IR and may be used as a threshold to demarcate between IR and non-IR patients.