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Predictors of Insulin Resistance and Metabolic Complications in Polycystic Ovarian Syndrome in an Eastern Indian Population

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Abstract

The purpose of this study was to assess the predictive values of central obesity and hyperandrogenemia in development of insulin resistance and dyslipidemia in the polycystic ovarian syndrome (PCOS) patients in our region. Differences of fasting blood glucose level, insulin resistance index HOMA-IR, lipid parameters, waist hip ratio (WHR), body mass index, LH/FSH ratio and testosterone levels between 45 PCOS cases and 35 age matched controls were obtained. Strength of association between different parameters in the case group was assayed by Pearson’s correlation analysis. Dependence of insulin resistance and WHR on different predictors was assessed by multiple linear regression assay. Total cholesterol, LDL cholesterol, LH, FSH, LH/FSH ratio, WHR and insulin resistance were significantly higher in the case group (p < 0.05). Serum testosterone showed strong correlation with insulin resistance and LH/FSH ratio (r = 0.432 and 0.747, p = 0.01 and 0.001 respectively) in the PCOS patients while WHR and serum testosterone level stood out to be most significant predictors for the insulin resistance (β = 0.361 and 0.498; p = 0.048 and 0.049 respectively). Hyperandrogenemia and central obesity were the major factors predicting development of insulin resistance and its related metabolic and cardiovascular complications in our PCOS patients. We suggest early monitoring for androgen level and WHR in these patients for predicting an ensuing insulin resistance and modulating the treatment procedure accordingly to minimise future cardiovascular risks.

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Conflict of interest

There is no conflict of interest regarding any type of personal, administrative or financial matter with the present study.

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Author notes

  1. Anindya Dasgupta

    Present address: Department of Biochemistry, Calcutta National Medical College and Hospital, Kolkata, 700014, India

  2. Kanika M. Chowdhury

    Present address: Swastha Bhawan, Salt Lake City, Kolkata, India

Authors and Affiliations

  1. Department of Biochemistry, Burdwan Medical College and Hospital, Burdwan, 713104, India

    Anindya Dasgupta, Ushasi Banerjee, Mrinal Pal, Kanika M. Chowdhury & Sayantan Dasgupta

  2. Department of Gynaecology and Obstetrics, Burdwan Medical College and Hospital, Burdwan, 713104, India

    Aparna Khan

  3. Department of Radiology, Burdwan Medical College, Burdwan, 713104, India

    Mrinalkanti Ghosh

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  1. Anindya Dasgupta
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Correspondence to Anindya Dasgupta.

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Dasgupta, A., Khan, A., Banerjee, U. et al. Predictors of Insulin Resistance and Metabolic Complications in Polycystic Ovarian Syndrome in an Eastern Indian Population. Ind J Clin Biochem 28, 169–176 (2013). https://doi.org/10.1007/s12291-012-0253-4

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