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A nonlinear association of total cholesterol with all-cause and cause-specific mortality

BACKGROUND: The link between total cholesterol (TC) and all-cause and specific mortality has not been elucidated. Herein, we aimed to evaluate the effect of TC levels on all-cause, cardiovascular disease (CVD), and cancer mortality. METHODS: All data analyzed were obtained from the National Health a...

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Autores principales: He, Guo-dong, Liu, Xiao-cong, Liu, Lin, Yu, Yu-ling, Chen, Chao-lei, Huang, Jia-yi, Lo, Kenneth, Huang, Yu-qing, Feng, Ying-qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7945313/
https://www.ncbi.nlm.nih.gov/pubmed/33691735
http://dx.doi.org/10.1186/s12986-021-00548-1
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author He, Guo-dong
Liu, Xiao-cong
Liu, Lin
Yu, Yu-ling
Chen, Chao-lei
Huang, Jia-yi
Lo, Kenneth
Huang, Yu-qing
Feng, Ying-qing
author_facet He, Guo-dong
Liu, Xiao-cong
Liu, Lin
Yu, Yu-ling
Chen, Chao-lei
Huang, Jia-yi
Lo, Kenneth
Huang, Yu-qing
Feng, Ying-qing
author_sort He, Guo-dong
collection PubMed
description BACKGROUND: The link between total cholesterol (TC) and all-cause and specific mortality has not been elucidated. Herein, we aimed to evaluate the effect of TC levels on all-cause, cardiovascular disease (CVD), and cancer mortality. METHODS: All data analyzed were obtained from the National Health and Nutrition Examination Survey 1999–2014. The relationship between levels of TC and mortality was determined through Cox proportional hazard regression analysis coupled with multivariable adjustments. Two-piecewise linear regression models and Cox models with penalized splines were applied to explore nonlinear and irregular shape relationships. Kaplan–Meier survival curve and subgroup analyses were conducted. RESULTS: The sample studied comprised 14,662 men and 16,025 women, categorized as 25,429 adults aged 18–65 and 5,258 adults over 65 years old. A total of 2,570 deaths were recorded. All-cause, cardiovascular, and cancer mortality showed U-curve associations after adjusting for confounding variables in the restricted cubic spline analysis. Hazard ratios (HRs) of all-cause and cancer mortality were particularly negatively related to TC levels in the lower range < 200 mg/dL, especially in the range < 120 mg/dL (HR 1.97; 95% CI 1.38, 2.83, HR 2.39; 95% CI 1.21, 4.71, respectively). However, the HRs of cardiovascular disease mortality in the range < 120 mg/dL were the lowest (HR 0.60; 95% CI 0.15, 2.42). In the upper range, a TC range of ≥ 280 mg/dL was correlated with mortality as a result of CVD and cancer (HR 1.31; 95% CI 0.87, 1.97 and HR 1.22; 95% CI 0.82, 1.79). The lowest cumulative survival rate of all-cause mortality was recorded in the lowest TC-level group, while the lowest cumulative survival rate of CVD mortality was recorded in the highest TC-level group. CONCLUSIONS: A nonlinear association of TC level with all-cause, cancer, and CVD mortality in the American population was observed, suggesting that too low or too high serum total cholesterol levels might correlate with adverse outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12986-021-00548-1.
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spelling pubmed-79453132021-03-10 A nonlinear association of total cholesterol with all-cause and cause-specific mortality He, Guo-dong Liu, Xiao-cong Liu, Lin Yu, Yu-ling Chen, Chao-lei Huang, Jia-yi Lo, Kenneth Huang, Yu-qing Feng, Ying-qing Nutr Metab (Lond) Research BACKGROUND: The link between total cholesterol (TC) and all-cause and specific mortality has not been elucidated. Herein, we aimed to evaluate the effect of TC levels on all-cause, cardiovascular disease (CVD), and cancer mortality. METHODS: All data analyzed were obtained from the National Health and Nutrition Examination Survey 1999–2014. The relationship between levels of TC and mortality was determined through Cox proportional hazard regression analysis coupled with multivariable adjustments. Two-piecewise linear regression models and Cox models with penalized splines were applied to explore nonlinear and irregular shape relationships. Kaplan–Meier survival curve and subgroup analyses were conducted. RESULTS: The sample studied comprised 14,662 men and 16,025 women, categorized as 25,429 adults aged 18–65 and 5,258 adults over 65 years old. A total of 2,570 deaths were recorded. All-cause, cardiovascular, and cancer mortality showed U-curve associations after adjusting for confounding variables in the restricted cubic spline analysis. Hazard ratios (HRs) of all-cause and cancer mortality were particularly negatively related to TC levels in the lower range < 200 mg/dL, especially in the range < 120 mg/dL (HR 1.97; 95% CI 1.38, 2.83, HR 2.39; 95% CI 1.21, 4.71, respectively). However, the HRs of cardiovascular disease mortality in the range < 120 mg/dL were the lowest (HR 0.60; 95% CI 0.15, 2.42). In the upper range, a TC range of ≥ 280 mg/dL was correlated with mortality as a result of CVD and cancer (HR 1.31; 95% CI 0.87, 1.97 and HR 1.22; 95% CI 0.82, 1.79). The lowest cumulative survival rate of all-cause mortality was recorded in the lowest TC-level group, while the lowest cumulative survival rate of CVD mortality was recorded in the highest TC-level group. CONCLUSIONS: A nonlinear association of TC level with all-cause, cancer, and CVD mortality in the American population was observed, suggesting that too low or too high serum total cholesterol levels might correlate with adverse outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12986-021-00548-1. BioMed Central 2021-03-10 /pmc/articles/PMC7945313/ /pubmed/33691735 http://dx.doi.org/10.1186/s12986-021-00548-1 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research
He, Guo-dong
Liu, Xiao-cong
Liu, Lin
Yu, Yu-ling
Chen, Chao-lei
Huang, Jia-yi
Lo, Kenneth
Huang, Yu-qing
Feng, Ying-qing
A nonlinear association of total cholesterol with all-cause and cause-specific mortality
title A nonlinear association of total cholesterol with all-cause and cause-specific mortality
title_full A nonlinear association of total cholesterol with all-cause and cause-specific mortality
title_fullStr A nonlinear association of total cholesterol with all-cause and cause-specific mortality
title_full_unstemmed A nonlinear association of total cholesterol with all-cause and cause-specific mortality
title_short A nonlinear association of total cholesterol with all-cause and cause-specific mortality
title_sort nonlinear association of total cholesterol with all-cause and cause-specific mortality
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7945313/
https://www.ncbi.nlm.nih.gov/pubmed/33691735
http://dx.doi.org/10.1186/s12986-021-00548-1
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