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Relation of four nontraditional lipid profiles to diabetes in rural Chinese H-type hypertension population

BACKGROUND: Mounting evidence suggested that nontraditional lipid profiles have been recognized as a reliable indicator for unfavorable cardiovascular events. The purpose of this study was to explore the role of nontraditional lipid profiles as potential clinical indices for the assessment of preval...

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Autores principales: Wang, Haoyu, Guo, Xiaofan, Chen, Yintao, Li, Zhao, Xu, Jiaqi, Sun, Yingxian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5637264/
https://www.ncbi.nlm.nih.gov/pubmed/29020963
http://dx.doi.org/10.1186/s12944-017-0590-7
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author Wang, Haoyu
Guo, Xiaofan
Chen, Yintao
Li, Zhao
Xu, Jiaqi
Sun, Yingxian
author_facet Wang, Haoyu
Guo, Xiaofan
Chen, Yintao
Li, Zhao
Xu, Jiaqi
Sun, Yingxian
author_sort Wang, Haoyu
collection PubMed
description BACKGROUND: Mounting evidence suggested that nontraditional lipid profiles have been recognized as a reliable indicator for unfavorable cardiovascular events. The purpose of this study was to explore the role of nontraditional lipid profiles as potential clinical indices for the assessment of prevalent diabetes in rural Chinese H-type hypertension population. METHODS: During 2012 to 2013, we conducted a large cross-sectional study of 2944 H-type hypertension participants (≥35 years of age) from rural areas in northeast China. Subjects underwent accurate assessment of lipid profiles, fasting plasma glucose (FPG), homocysteine (Hcy) according to standard protocols. RESULTS: The proportion of diabetes showed a graded and linear increase across the quartiles for all four nontraditional lipid parameters. Nontraditional lipid variables were independent determinants of FPG, and its correlation for TG/HDL-C was strongest, whether potential confounders were adjusted or not. Multivariable logistic regression analysis established that the highest triglycerides (TG)/ high-density lipoprotein cholesterol (HDL-C) quartile manifested the largest ORs of prevalent diabetes (OR: 3.275, 95%CI: 2.109–5.087) compared with the lowest quartile. The fully adjusted ORs (95%CI) were 2.753 (1.783–4.252), 2.178 (1.415–2.351), 1.648 (1.097–2.478) for the top quartile of total cholesterol (TC)/HDL-C, low-density lipoprotein cholesterol (LDL-C)/HDL-C, and non-high-density lipoprotein cholesterol (non-HDL-C), respectively. On the basis of the area under receiver-operating characteristic curve (AUC), TG/HDL-C showed the optimal discriminating power for diabetes (AUC: 0.684, 95% CI: 0.650–0.718). CONCLUSIONS: Nontraditional lipid profiles (TG/HDL-C, TC/HDL-C, LDL-C/HDL-C and non-HDL-C) were all consistently and independently correlated with prevalent diabetes among the H-type hypertension population in rural China. TG/HDL-C was prone to be more profitable in assessing the risk of prevalent diabetes and should be encouraged as an effective clinical tool for monitoring and targeted intervention of diabetes in H-type hypertension adults.
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spelling pubmed-56372642017-10-18 Relation of four nontraditional lipid profiles to diabetes in rural Chinese H-type hypertension population Wang, Haoyu Guo, Xiaofan Chen, Yintao Li, Zhao Xu, Jiaqi Sun, Yingxian Lipids Health Dis Research BACKGROUND: Mounting evidence suggested that nontraditional lipid profiles have been recognized as a reliable indicator for unfavorable cardiovascular events. The purpose of this study was to explore the role of nontraditional lipid profiles as potential clinical indices for the assessment of prevalent diabetes in rural Chinese H-type hypertension population. METHODS: During 2012 to 2013, we conducted a large cross-sectional study of 2944 H-type hypertension participants (≥35 years of age) from rural areas in northeast China. Subjects underwent accurate assessment of lipid profiles, fasting plasma glucose (FPG), homocysteine (Hcy) according to standard protocols. RESULTS: The proportion of diabetes showed a graded and linear increase across the quartiles for all four nontraditional lipid parameters. Nontraditional lipid variables were independent determinants of FPG, and its correlation for TG/HDL-C was strongest, whether potential confounders were adjusted or not. Multivariable logistic regression analysis established that the highest triglycerides (TG)/ high-density lipoprotein cholesterol (HDL-C) quartile manifested the largest ORs of prevalent diabetes (OR: 3.275, 95%CI: 2.109–5.087) compared with the lowest quartile. The fully adjusted ORs (95%CI) were 2.753 (1.783–4.252), 2.178 (1.415–2.351), 1.648 (1.097–2.478) for the top quartile of total cholesterol (TC)/HDL-C, low-density lipoprotein cholesterol (LDL-C)/HDL-C, and non-high-density lipoprotein cholesterol (non-HDL-C), respectively. On the basis of the area under receiver-operating characteristic curve (AUC), TG/HDL-C showed the optimal discriminating power for diabetes (AUC: 0.684, 95% CI: 0.650–0.718). CONCLUSIONS: Nontraditional lipid profiles (TG/HDL-C, TC/HDL-C, LDL-C/HDL-C and non-HDL-C) were all consistently and independently correlated with prevalent diabetes among the H-type hypertension population in rural China. TG/HDL-C was prone to be more profitable in assessing the risk of prevalent diabetes and should be encouraged as an effective clinical tool for monitoring and targeted intervention of diabetes in H-type hypertension adults. BioMed Central 2017-10-11 /pmc/articles/PMC5637264/ /pubmed/29020963 http://dx.doi.org/10.1186/s12944-017-0590-7 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Wang, Haoyu
Guo, Xiaofan
Chen, Yintao
Li, Zhao
Xu, Jiaqi
Sun, Yingxian
Relation of four nontraditional lipid profiles to diabetes in rural Chinese H-type hypertension population
title Relation of four nontraditional lipid profiles to diabetes in rural Chinese H-type hypertension population
title_full Relation of four nontraditional lipid profiles to diabetes in rural Chinese H-type hypertension population
title_fullStr Relation of four nontraditional lipid profiles to diabetes in rural Chinese H-type hypertension population
title_full_unstemmed Relation of four nontraditional lipid profiles to diabetes in rural Chinese H-type hypertension population
title_short Relation of four nontraditional lipid profiles to diabetes in rural Chinese H-type hypertension population
title_sort relation of four nontraditional lipid profiles to diabetes in rural chinese h-type hypertension population
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5637264/
https://www.ncbi.nlm.nih.gov/pubmed/29020963
http://dx.doi.org/10.1186/s12944-017-0590-7
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