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Threshold BMI to predict Non-Insulin-resistance in PCOS

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Original Article

Author Details : Sangeeta Shah

Volume : 3, Issue : 2, Year : 2016

Article Page : 153-156

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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/m?2; (Sensitivity- 87.88%). 60.39% of 101 non-IR PCOS patients had BMI <25kg/m?2; (Specificity-60.39%). Among the 98 PCOS patients with BMI >25 kg/m?2;,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/m?2; is highly predictive of Non-IR and may be used as a threshold to demarcate between IR and non-IR patients.

 

How to cite : Shah S, Threshold BMI to predict Non-Insulin-resistance in PCOS. Indian J Obstet Gynecol Res 2016;3(2):153-156

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