Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1783270595135275008 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5637264 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT wanghaoyu relationoffournontraditionallipidprofilestodiabetesinruralchinesehtypehypertensionpopulation AT guoxiaofan relationoffournontraditionallipidprofilestodiabetesinruralchinesehtypehypertensionpopulation AT chenyintao relationoffournontraditionallipidprofilestodiabetesinruralchinesehtypehypertensionpopulation AT lizhao relationoffournontraditionallipidprofilestodiabetesinruralchinesehtypehypertensionpopulation AT xujiaqi relationoffournontraditionallipidprofilestodiabetesinruralchinesehtypehypertensionpopulation AT sunyingxian relationoffournontraditionallipidprofilestodiabetesinruralchinesehtypehypertensionpopulation |