Literature DB >> 27083984

Novel indexes for diagnosing metabolic syndrome in apparently healthy Gujarati Asian Indians: a cross-sectional study.

Hasit Joshi1, Komal Shah2, Priyanka Patel2, Jayesh Prajapati3, Meena Parmar3, Dhaval Doshi3, Shardul Chaurushia3.   

Abstract

BACKGROUND: We aimed to compare the diagnostic accuracy of four novel indexes-triglyceride/high-density lipoprotein cholesterol (TG/HDL-C) ratio, weight height ratio (WHtR), lipid accumulation product (LAP) and visceral adiposity index (VAI) with conventional components of metabolic syndrome (MetS) in order to identify a single index for the diagnosis of MetS in Gujarati Indian population.
METHODS: This observational and cross sectional study involved a total of 3329 healthy adults of 18-79 years of age. Demographic and clinical data such as body mass index, waist circumference, blood pressure were measured along with the levels of lipids and fasting blood glucose.
RESULTS: The overall prevalence of MetS was 34.32%, which was almost double in older individuals (45.5% vs. 20.8%) and slightly higher in males (37% vs. 31.2%). In comparison to individual components of MetS, three novel indexes-VAI, LAP and TG/HDL-C ratio showed superior diagnostic efficacy yielding an area under curve of 0.856, 0.821 and 0.821 respectively. The optimal cut-offs for VAI, LAP and TG/HDL Ratios for male, females, young and old population are (79.71, 88.12, 75.42, 87.4), (35.62, 34.73, 35.88, 34.7) and (2.249, 3.16, 2.49, 2.79) respectively. The diagnostic effectiveness of novel markers was unaffected by the age and gender of an individual. However, the efficacy of WHtR was comparable with the other conventional markers.
CONCLUSION: Three novel markers-LAP, VAI and TG/HDL-C ratio could be effectively used as a single 'Surrogate marker' for screening of asymptomatic Gujarati Asian Indians with MetS.
© The Author 2016. Published by Oxford University Press on behalf of the Association of Physicians. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2016        PMID: 27083984     DOI: 10.1093/qjmed/hcw056

Source DB:  PubMed          Journal:  QJM        ISSN: 1460-2393


  3 in total

1.  Clinical surrogate markers for predicting metabolic syndrome in middle-aged and elderly Chinese.

Authors:  Rui Li; Qi Li; Min Cui; Zegang Yin; Ling Li; Tingting Zhong; Yingchao Huo; Peng Xie
Journal:  J Diabetes Investig       Date:  2017-08-03       Impact factor: 4.232

2.  Optimised anthropometric indices as predictive screening tools for metabolic syndrome in adults: a cross-sectional study.

Authors:  Yating Wu; Hongyu Li; Xiujuan Tao; Yanna Fan; Qinghan Gao; Jianjun Yang
Journal:  BMJ Open       Date:  2021-01-31       Impact factor: 2.692

3.  Age-adjusted cut-off values of lipid accumulation product (LAP) for predicting hypertension.

Authors:  Anastasiya M Kaneva; Evgeny R Bojko
Journal:  Sci Rep       Date:  2021-05-27       Impact factor: 4.379

  3 in total

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