Post Graduate Department of Physiology, Hooghly Mohsin College, University of Burdwan, Bardhaman, West Bengal, India.
Department of Physiology, Rungta College of Dental Sciences and Research, Bhilai, Chhattisgarh, India.
Endocrine. 2021 Apr;72(1):86-95. doi: 10.1007/s12020-020-02555-3. Epub 2021 Jan 5.
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.
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.
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.
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.
多囊卵巢综合征（PCOS）最常表现为胰岛素抵抗（IR）。简单的人体测量指标可以作为这些疾病的替代标志物，具有基于人群的截断值。本研究提出了腰高比（WHtR）和体重指数（BMI）的截断值，以预测印度加尔各答主要大都市地区 PCOS 妇女的 PCOS 和 IR。
本横断面研究纳入了 66 名（年龄 16-30 岁）来自印度加尔各答的确诊 PCOS 患者，采用 Rotterdam 标准。IR 采用稳态模型评估（HOMA）定义。采用标准方案获得人体测量和生化数据，并根据 IR 发生率、BMI 和 WHtR 值对 PCOS 受试者进行分组比较。应用受试者工作特征（ROC）曲线评估和比较 WHtR 和 BMI 在预测 PCOS 妇女 PCOS 和 IR 中的截断值。
根据 ROC 分析，WHtR 在检测 PCOS 和 IR 方面的 AUC 明显高于 BMI。WHtR 和 BMI 用于诊断 PCOS 的截断值分别为 0.560 和 28.47，用于诊断 PCOS 患者的 IR 的截断值分别为 0.620 和 29.14。
本研究提出了 WHtR 的截断值，可作为一种廉价、非侵入性的筛查工具，用于预测印度加尔各答 PCOS 妇女的 PCOS 和 IR。对于这种预测，研究还声称 WHtR 是比 BMI 更好的指标。
