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

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...

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Autores principales: Li, Rui, Li, Qi, Cui, Min, Yin, Zegang, Li, Ling, Zhong, Tingting, Huo, Yingchao, Xie, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5835482/
https://www.ncbi.nlm.nih.gov/pubmed/28664593
http://dx.doi.org/10.1111/jdi.12708
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author Li, Rui
Li, Qi
Cui, Min
Yin, Zegang
Li, Ling
Zhong, Tingting
Huo, Yingchao
Xie, Peng
author_facet Li, Rui
Li, Qi
Cui, Min
Yin, Zegang
Li, Ling
Zhong, Tingting
Huo, Yingchao
Xie, Peng
author_sort Li, Rui
collection PubMed
description 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.
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spelling pubmed-58354822018-03-07 Clinical surrogate markers for predicting metabolic syndrome in middle‐aged and elderly Chinese Li, Rui Li, Qi Cui, Min Yin, Zegang Li, Ling Zhong, Tingting Huo, Yingchao Xie, Peng J Diabetes Investig Articles 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. John Wiley and Sons Inc. 2017-08-03 2018-03 /pmc/articles/PMC5835482/ /pubmed/28664593 http://dx.doi.org/10.1111/jdi.12708 Text en © 2017 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Articles
Li, Rui
Li, Qi
Cui, Min
Yin, Zegang
Li, Ling
Zhong, Tingting
Huo, Yingchao
Xie, Peng
Clinical surrogate markers for predicting metabolic syndrome in middle‐aged and elderly Chinese
title Clinical surrogate markers for predicting metabolic syndrome in middle‐aged and elderly Chinese
title_full Clinical surrogate markers for predicting metabolic syndrome in middle‐aged and elderly Chinese
title_fullStr Clinical surrogate markers for predicting metabolic syndrome in middle‐aged and elderly Chinese
title_full_unstemmed Clinical surrogate markers for predicting metabolic syndrome in middle‐aged and elderly Chinese
title_short Clinical surrogate markers for predicting metabolic syndrome in middle‐aged and elderly Chinese
title_sort clinical surrogate markers for predicting metabolic syndrome in middle‐aged and elderly chinese
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5835482/
https://www.ncbi.nlm.nih.gov/pubmed/28664593
http://dx.doi.org/10.1111/jdi.12708
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