Koushik Bhattacharya1,2, Pallav Sengupta3, Sulagna Dutta4, Prasenjit Chaudhuri5, Lipika Das Mukhopadhyay6, Alak Kumar Syamal7. 1. Post Graduate Department of Physiology, Hooghly Mohsin College, University of Burdwan, Bardhaman, West Bengal, India. 2. Department of Physiology, Rungta College of Dental Sciences and Research, Bhilai, Chhattisgarh, India. 3. Faculty of Medicine, Bioscience and Nursing, MAHSA University, Jenjarom, Selangor, Malaysia. 4. Faculty of Dentistry, MAHSA University, Jenjarom, Selangor, Malaysia. 5. Department of Physiology, Government General Degree College, Paschim Medinipur, West Bengal, India. 6. Department of Obstetrics and Gynecology, KPC Medical College, Jadavpur, Kolkata, West Bengal, India. drlipikamukhopadhyay@yahoo.in. 7. Post Graduate Department of Physiology, Hooghly Mohsin College, University of Burdwan, Bardhaman, West Bengal, India. alaksyamal@gmail.com.
Abstract
PURPOSE: Polycystic ovarian syndrome (PCOS) is most commonly presented with insulin resistance (IR). Simple anthropometric indices may serve as surrogate markers of these conditions with population-based cut-off values. The present study suggests the cut-off values of waist-to-height ratio (WHtR) and body mass index (BMI) in early prediction of PCOS and IR in PCOS women based in Kolkata, a major metropolitan city in India. METHODS: This cross-sectional study included 66 women (aged 16-30 years) from Kolkata, India, with confirmed PCOS, using Rotterdam criteria. IR was defined following the homeostasis model assessment (HOMA). Anthropometric and biochemical data were obtained using standard protocol and compared among the PCOS subjects grouped as per IR prevalence, BMI, and WHtR values. The receiver operating characteristics (ROC) curve was applied to evaluate and compare the cut-off values of WHtR and BMI in the prediction of PCOS and IR in women with PCOS. RESULTS: As per ROC analysis, WHtR showed significantly higher AUC in the detection of PCOS and IR in PCOS subjects respectively, than that of BMI. The cut-off values of WHtR and BMI for PCOS were 0.560 and 28.47 respectively, and for IR in PCOS patients, were 0.620 and 29.14 respectively. CONCLUSIONS: The present study suggests a cut-off value of WHtR to be used as an inexpensive and noninvasive screening tool for early prediction of PCOS and IR among PCOS afflicted women based in Kolkata, India and for this prediction, the study also claims WHtR as a better index than BMI.
PURPOSE:Polycystic ovarian syndrome (PCOS) is most commonly presented with insulin resistance (IR). Simple anthropometric indices may serve as surrogate markers of these conditions with population-based cut-off values. The present study suggests the cut-off values of waist-to-height ratio (WHtR) and body mass index (BMI) in early prediction of PCOS and IR in PCOSwomen based in Kolkata, a major metropolitan city in India. METHODS: This cross-sectional study included 66 women (aged 16-30 years) from Kolkata, India, with confirmed PCOS, using Rotterdam criteria. IR was defined following the homeostasis model assessment (HOMA). Anthropometric and biochemical data were obtained using standard protocol and compared among the PCOS subjects grouped as per IR prevalence, BMI, and WHtR values. The receiver operating characteristics (ROC) curve was applied to evaluate and compare the cut-off values of WHtR and BMI in the prediction of PCOS and IR in women with PCOS. RESULTS: As per ROC analysis, WHtR showed significantly higher AUC in the detection of PCOS and IR in PCOS subjects respectively, than that of BMI. The cut-off values of WHtR and BMI for PCOS were 0.560 and 28.47 respectively, and for IR in PCOSpatients, were 0.620 and 29.14 respectively. CONCLUSIONS: The present study suggests a cut-off value of WHtR to be used as an inexpensive and noninvasive screening tool for early prediction of PCOS and IR among PCOS afflicted women based in Kolkata, India and for this prediction, the study also claims WHtR as a better index than BMI.
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