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Association of remnant cholesterol and non-high density lipoprotein cholesterol with risk of cardiovascular mortality among US general population

BACKGROUND: There are strong association between remnant cholesterol (RC)/non-high density lipoprotein cholesterol (NHDL-C) and increase cardiovascular (CV) risk. The aim of present study was to investigate the association between target lipid parameters (RC and NHDL-C) and the risk of CV mortality...

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Autores principales: Cheang, Iokfai, Zhu, Xu, Lu, Xinyi, Shi, Shi, Tang, Yuan, Yue, Xin, Liao, Shengen, Yao, Wenming, Zhou, Yanli, Zhang, Haifeng, Li, Yanxiu, Li, Xinli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399160/
https://www.ncbi.nlm.nih.gov/pubmed/36033296
http://dx.doi.org/10.1016/j.heliyon.2022.e10050
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author Cheang, Iokfai
Zhu, Xu
Lu, Xinyi
Shi, Shi
Tang, Yuan
Yue, Xin
Liao, Shengen
Yao, Wenming
Zhou, Yanli
Zhang, Haifeng
Li, Yanxiu
Li, Xinli
author_facet Cheang, Iokfai
Zhu, Xu
Lu, Xinyi
Shi, Shi
Tang, Yuan
Yue, Xin
Liao, Shengen
Yao, Wenming
Zhou, Yanli
Zhang, Haifeng
Li, Yanxiu
Li, Xinli
author_sort Cheang, Iokfai
collection PubMed
description BACKGROUND: There are strong association between remnant cholesterol (RC)/non-high density lipoprotein cholesterol (NHDL-C) and increase cardiovascular (CV) risk. The aim of present study was to investigate the association between target lipid parameters (RC and NHDL-C) and the risk of CV mortality in general population. METHODS: Data set from an open database—National Health and Nutrition Examination Surveys (NHANES) 2003–2014 were extracted (n = 14992). Kaplan-Meier, multivariable COX regression, and restricted cubic spline (RCS) parameters. RESULTS: Compared to the lowest quartile, RC (adjusted hazard ratio [HR] = 1.63 95%CI 1.05–2.52, P for trend = 0.037) and triglycerides (TG: Model 3: HR = 1.69 95%CI 1.10–2.60, P for trend = 0.049) in the highest quartile were independently associated with the increased cardiovascular mortality, while NHDL-C and apolipoprotein B (ApoB) in adjusted models did not show association (P for trend >0.05). In addition, RCS regression demonstrated that RC (P for nonlinearity = 0.011) and TG (P for nonlinearity = 0.010) levels had a similar J-shape association with CV mortality. Threshold effect analysis showed that when RC ≤ 29.3 mg/dL, the level of RC and CV mortality risk were positively correlated. CONCLUSIONS: Our findings suggest high RC levels are associated with an increased risk of CV mortality, which support that the integration of TG-rich lipoproteins parameters in risk assessment might optimize the identification and management of selected population.
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spelling pubmed-93991602022-08-25 Association of remnant cholesterol and non-high density lipoprotein cholesterol with risk of cardiovascular mortality among US general population Cheang, Iokfai Zhu, Xu Lu, Xinyi Shi, Shi Tang, Yuan Yue, Xin Liao, Shengen Yao, Wenming Zhou, Yanli Zhang, Haifeng Li, Yanxiu Li, Xinli Heliyon Research Article BACKGROUND: There are strong association between remnant cholesterol (RC)/non-high density lipoprotein cholesterol (NHDL-C) and increase cardiovascular (CV) risk. The aim of present study was to investigate the association between target lipid parameters (RC and NHDL-C) and the risk of CV mortality in general population. METHODS: Data set from an open database—National Health and Nutrition Examination Surveys (NHANES) 2003–2014 were extracted (n = 14992). Kaplan-Meier, multivariable COX regression, and restricted cubic spline (RCS) parameters. RESULTS: Compared to the lowest quartile, RC (adjusted hazard ratio [HR] = 1.63 95%CI 1.05–2.52, P for trend = 0.037) and triglycerides (TG: Model 3: HR = 1.69 95%CI 1.10–2.60, P for trend = 0.049) in the highest quartile were independently associated with the increased cardiovascular mortality, while NHDL-C and apolipoprotein B (ApoB) in adjusted models did not show association (P for trend >0.05). In addition, RCS regression demonstrated that RC (P for nonlinearity = 0.011) and TG (P for nonlinearity = 0.010) levels had a similar J-shape association with CV mortality. Threshold effect analysis showed that when RC ≤ 29.3 mg/dL, the level of RC and CV mortality risk were positively correlated. CONCLUSIONS: Our findings suggest high RC levels are associated with an increased risk of CV mortality, which support that the integration of TG-rich lipoproteins parameters in risk assessment might optimize the identification and management of selected population. Elsevier 2022-08-03 /pmc/articles/PMC9399160/ /pubmed/36033296 http://dx.doi.org/10.1016/j.heliyon.2022.e10050 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Cheang, Iokfai
Zhu, Xu
Lu, Xinyi
Shi, Shi
Tang, Yuan
Yue, Xin
Liao, Shengen
Yao, Wenming
Zhou, Yanli
Zhang, Haifeng
Li, Yanxiu
Li, Xinli
Association of remnant cholesterol and non-high density lipoprotein cholesterol with risk of cardiovascular mortality among US general population
title Association of remnant cholesterol and non-high density lipoprotein cholesterol with risk of cardiovascular mortality among US general population
title_full Association of remnant cholesterol and non-high density lipoprotein cholesterol with risk of cardiovascular mortality among US general population
title_fullStr Association of remnant cholesterol and non-high density lipoprotein cholesterol with risk of cardiovascular mortality among US general population
title_full_unstemmed Association of remnant cholesterol and non-high density lipoprotein cholesterol with risk of cardiovascular mortality among US general population
title_short Association of remnant cholesterol and non-high density lipoprotein cholesterol with risk of cardiovascular mortality among US general population
title_sort association of remnant cholesterol and non-high density lipoprotein cholesterol with risk of cardiovascular mortality among us general population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399160/
https://www.ncbi.nlm.nih.gov/pubmed/36033296
http://dx.doi.org/10.1016/j.heliyon.2022.e10050
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