Predictive performance of traditional and novel lipid combined anthropometric indices to identify prediabetes

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...

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Published inDiabetes & metabolic syndrome clinical research & reviews Vol. 14; no. 5; pp. 1265 - 1272
Main Authors Ramdas Nayak, Vineetha K., Nayak, Kirtana Raghurama, Vidyasagar, Sudha, P, Rekha
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.09.2020
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ISSN1871-4021
1878-0334
1878-0334
DOI10.1016/j.dsx.2020.06.045

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Summary: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. •Novel lipid combined anthropometric indices for the prediction of prediabetes risk in the Asian Indian population.•TyG index and TyG-WC had the best predictive ability for prediabetes.•LAP and VAI show promising results for visceral obesity characterisation.
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ISSN:1871-4021
1878-0334
1878-0334
DOI:10.1016/j.dsx.2020.06.045