Ramdas Nayak Vineetha K, Nayak Kirtana Raghurama, Vidyasagar Sudha, P Rekha
Department of Physiology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, India; Department of Physiology, K S Hegde Medical Academy, Nitte Deemed to be University, Mangalore, Karnataka, 575018, India.
Department of Physiology, Kasturba Medical College, Manipal, Manipal, 576104, India; Department of Medical Education, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, India.
Diabetes Metab Syndr. 2020 Sep-Oct;14(5):1265-1272. doi: 10.1016/j.dsx.2020.06.045. Epub 2020 Jul 10.
Diabetes mellitus is one of the critical public health challenges in the Indian healthcare scenario. Novel anthropometric indices are promising surrogate markers to detect prediabetes compared to the traditional anthropometric indices that only reflect gross obesity. Thus, the authors aim to analyse the potential of three novel lipid combined anthropometric indices in predicting prediabetes in the Asian Indian population.
We conducted an age and gender-matched case-control study to identify the predictors of prediabetes. Prediabetes was diagnosed as per the American Diabetes Association (ADA) guidelines 2010. The traditional anthropometric measurements including waist circumference (WC), waist to hip ratio (WHR) and body mass index (BMI) were executed using standardised methods. Fasting lipid profile was obtained and using standardised formulas, the novel lipid combined anthropometric indices such as lipid accumulation product (LAP), visceral adiposity index (VAI) and triglyceride glucose index (TyG index) were derived. TyG related indices such as triglyceride glucose-waist circumference (TyG-WC) and triglyceride glucose-body mass index (TyG-BMI) were also calculated.
The novel lipid combined anthropometric indices LAP, VAI, TyG index, TyG-WC and TyG-BMI were significantly higher in subjects with prediabetes of both the genders (p < 0.05). During receiver operating characteristic (ROC) curve evaluation, TyG index (AUC = 0.802) was the superior predictive measure in males, while in females, TyG-WC (AUC = 0.767) was the best among all the markers.
TyG index and TyG-WC seem to be a superior indicator of prediabetes in the Asian Indian population in comparison with other anthropometric indices to screen prediabetes.
在印度的医疗保健环境中，糖尿病是关键的公共卫生挑战之一。与仅反映总体肥胖的传统人体测量指标相比，新型人体测量指标有望成为检测糖尿病前期的替代标志物。因此，作者旨在分析三种新型脂质联合人体测量指标在预测亚洲印度人群糖尿病前期方面的潜力。
我们进行了一项年龄和性别匹配的病例对照研究，以确定糖尿病前期的预测因素。根据2010年美国糖尿病协会（ADA）指南诊断糖尿病前期。使用标准化方法进行传统人体测量，包括腰围（WC）、腰臀比（WHR）和体重指数（BMI）。获取空腹血脂谱，并使用标准化公式得出新型脂质联合人体测量指标，如脂质蓄积产物（LAP）、内脏脂肪指数（VAI）和甘油三酯葡萄糖指数（TyG指数）。还计算了与TyG相关的指标，如甘油三酯葡萄糖 - 腰围（TyG-WC）和甘油三酯葡萄糖 - 体重指数（TyG-BMI）。
新型脂质联合人体测量指标LAP、VAI、TyG指数、TyG-WC和TyG-BMI在男女糖尿病前期患者中均显著更高（p < 0.05）。在受试者工作特征（ROC）曲线评估中，TyG指数（AUC = 0.802）在男性中是更好的预测指标，而在女性中，TyG-WC（AUC = 0.767）在所有标志物中是最佳的。
与其他人体测量指标相比，TyG指数和TyG-WC似乎是亚洲印度人群糖尿病前期的更好指标，可用于筛查糖尿病前期。
