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. 2018 Mar;9(2):411-418.
doi: 10.1111/jdi.12708. Epub 2017 Aug 3.

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

Rui Li  1 , Qi Li  1 , Min Cui  2 , Zegang Yin  2 , Ling Li  2 , Tingting Zhong  2 , Yingchao Huo  2 , Peng Xie  1   3
Affiliations

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

Rui Li et al. J Diabetes Investig. 2018 Mar.

Abstract

Aims/introduction: The present study evaluated the ability of lipid accumulation product (LAP), visceral adiposity index (VAI), and the product of triglycerides and glucose (TyG), three novel markers, in identifying metabolic syndrome (MetS) with different criteria in middle-aged and elderly Chinese.

Materials and methods: During June 2012 to January 2013, 992 consecutive patients (age ≥40 years) were enrolled at Daping Hospital. The criteria of MetS were based on the International Diabetes Federation and the modified National Cholesterol Education Program's Adult Treatment Panel III. VAI, LAP and TyG were computed based on a published mathematical model.

Results: The prevalence of MetS was 42.8%. The receiver operating characteristic curve found LAP, VAI and TyG were positively related to MetS in both criteria. The optimal cut-offs of VAI, LAP and TyG for the modified National Cholesterol Education Program's Adult Treatment Panel III and International Diabetes Federation criteria were 2.015, 31.465 and 8.706, and 2.035, 37.99 and 8.697, respectively. After adjustment of potential confounding factors, VAI, LAP and TyG were significantly correlated with MetS in all criteria according to optimal cut-offs. For MetS, reliable predictive value was observed in different subgroups (age and sex). LAP showed the greatest area under the curve in MetS with the International Diabetes Federation definition (area under the curve 0.887, 95% confidence interval 0.852-0.922).

Conclusions: AP, VAI and TyG were reliable surrogate markers for identifying MetS in middle-aged and elderly Chinese. LAP could be a better parameter than VAI and TyG for predicting MetS in the present study.

Keywords: Fasting triglycerides and glucose; Lipid accumulation product; Metabolic syndrome.

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Figures

Figure 1
Figure 1
The values of (a) visceral adiposity index (VAI), (b) lipid accumulation product (LAP) and (c) triglycerides and glucose (TyG) according to metabolic syndrome (MetS) components in both sexes.
Figure 2
Figure 2
Comparison of the diagnostic value of visceral adiposity index (VAI), lipid accumulation product (LAP) and triglycerides and glucose (TyG) in (a,c) men and (b,d) women in predicting metabolic syndrome using different criteria (modified National Cholesterol Education Program's Adult Treatment Panel III [ATPIII] and International Diabetes Federation [IDF]).
Figure 3
Figure 3
Comparison of the diagnostic value of visceral adiposity index (VAI), lipid accumulation product (LAP) and triglycerides and glucose (TyG) in (a,c) age ≥64 years and (b,d) age <64 years in predicting metabolic syndrome using different criteria (modified National Cholesterol Education Program's Adult Treatment Panel III [ATPIII] and International Diabetes Federation [IDF]).
See this image and copyright information in PMC

References

    1. Expert Panel on Detection E, Treatment of High Blood Cholesterol in A . Executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III). JAMA 2001; 285: 2486–2497. - PubMed
    1. Rodriguez‐Colon SM, Mo J, Duan Y, et al Metabolic syndrome clusters and the risk of incident stroke: the atherosclerosis risk in communities (ARIC) study. Stroke 2009; 40: 200–205. - PubMed
    1. Lakka HM, Laaksonen DE, Lakka TA, et al The metabolic syndrome and total and cardiovascular disease mortality in middle‐aged men. JAMA 2002; 288: 2709–2716. - PubMed
    1. Li R, Li W, Lun Z, et al Prevalence of metabolic syndrome in Mainland China: a meta‐analysis of published studies. BMC Public Health 2016; 16: 296. - PMC - PubMed
    1. Kahn HS. The “lipid accumulation product” performs better than the body mass index for recognizing cardiovascular risk: a population‐based comparison. BMC Cardiovasc Disord 2005; 5: 26. - PMC - PubMed