Assessment of insulin resistance and metabolic syndrome in young reproductive aged women with polycystic ovarian syndrome: analogy of surrogate indices

Abstract

Background

Polycystic ovarian syndrome has emerged as a cardiometabolic disorder and aim of this study was to evaluate various surrogate indices and their diagnostic potential to determine the most convenient and cost-effective marker of IR, CVD, and MetS in these women.

Materials and methods

Ninety-five PCOS women and 45 age matched healthy women were enrolled. Measures included anthropometric and biochemical parameters, BMI, WHR, WHtR, BAI, VAI, LAP, HOMA-IR, and lipid profile.

Results

LAP has highest AUC value 0.781 with cut-off value = 39.73 (sensitivity = 75% and specificity = 79.5%) for predicting IR and AUC value 0.83 with cut-off value = 35.63 (sensitivity = 94.4% and specificity = 77.3%) for predicting MetS in women with PCOS. LAP had statistically strong positive correlation with WC, BMI, WHR, fasting glucose, fasting insulin, HOMA-IR, TC, TG, and SBP.

Conclusions

LAP is a powerful and reliable marker for assessment of IR, CVD, and MetS risk in young Indian women with PCOS.

Keywords:

• PCOS
• LAP
• CVD
• metabolic syndrome
• insulin resistance

Acknowledgements

The authors appreciate the time and efforts of all the study participants. The authors also acknowledge the Department of Biotechnology, School of Chemical and Life Sciences, Jamia Hamdard for providing infrastructural support. PP gratefully acknowledges UGC-Faculty Recharge Program (UGC-FRP), UGC, Govt. of India for awarding UGC Assistant Professor position.

Author contributions

NR collected blood samples and clinical details of subjects, conducted the experiments, did data collection, tabulation and statistical analysis and wrote the manuscript; AN clinical coordinator of the study and analysed the data; SK contributed to major revision and improvement of the manuscript, data interpretation and did statistical analysis; PP contributed to statistical analysis; SKJ analysed the data and reviewed the manuscript; SW designed and conceptualised the study, provided research setup/instrumentation facilities, interpreted the data, was the principal investigator of the study, reviewed and finalised the manuscript. All authors read and approved the final manuscript.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The study was supported by University Grants Commission (UGC), India by providing fellowship and contingency to Nadia Rashid under CSIR-UGC NET JRF Scheme [23/06/2013(i)EU-V].