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  1. Correlation of common biochemical markers for bone turnover, serum calcium, and alkaline phosphatase in post-menopausal women
    Bhattarai T, Bhattacharya K, Chaudhuri P, Sengupta P
    Malays J Med Sci, 2014 Jan;21(1):58-61.
    PMID: 24639613
    The quality of life for women after menopause is one of the key health issues today, and osteoporosis is a silently progressing metabolic bone disease widely prevalent in post-menopausal women in India. Rapid bone loss occurs in post-menopausal women due to hormonal factors that lead to an increased risk of fractures. Thus, the present study was undertaken to observe the serum calcium and alkaline phosphatase (ALP) levels in post-menopausal women as these substances are biochemical markers of bone metabolism. In this small-scale cross-sectional study, 100 samples were taken. Of these, 50 were taken from post-menopausal women (experimental group) and 50 were taken from pre-menopausal women (control group). Serum calcium and serum ALP were measured in the blood samples of both groups. The findings demonstrated that the serum calcium level was significantly lower in the post-menopausal group than in the pre-menopausal group, while the ALP level was slightly higher. Therefore, an increase in bone turnover accelerates bone mass reduction in post-menopausal women, whereas a decrease in bone turnover is associated with the preservation of bone mass.
  2. Waist-to-height ratio and BMI as predictive markers for insulin resistance in women with PCOS in Kolkata, India
    Bhattacharya K, Sengupta P, Dutta S, Chaudhuri P, Das Mukhopadhyay L, Syamal AK
    Endocrine, 2021 04;72(1):86-95.
    PMID: 33400176 DOI: 10.1007/s12020-020-02555-3
    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.

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