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Association of Lean Body Mass and Fat Mass With 1-Year Mortality Among Patients With Heart Failure

BACKGROUND: Prior studies have found an unexplained inverse or U-shaped relationship between body mass index (BMI) and mortality in heart failure (HF) patients. However, little is known about the independent effects of each body component, i.e., lean body mass (LBM) and fat mass (FM), on mortality....

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Autores principales: Ge, Yilan, Liu, Jiamin, Zhang, Lihua, Gao, Yan, Wang, Bin, Wang, Xiuling, Li, Jing, Zheng, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918916/
https://www.ncbi.nlm.nih.gov/pubmed/35295256
http://dx.doi.org/10.3389/fcvm.2022.824628
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author Ge, Yilan
Liu, Jiamin
Zhang, Lihua
Gao, Yan
Wang, Bin
Wang, Xiuling
Li, Jing
Zheng, Xin
author_facet Ge, Yilan
Liu, Jiamin
Zhang, Lihua
Gao, Yan
Wang, Bin
Wang, Xiuling
Li, Jing
Zheng, Xin
author_sort Ge, Yilan
collection PubMed
description BACKGROUND: Prior studies have found an unexplained inverse or U-shaped relationship between body mass index (BMI) and mortality in heart failure (HF) patients. However, little is known about the independent effects of each body component, i.e., lean body mass (LBM) and fat mass (FM), on mortality. METHODS: We used data from the China Patient-centered Evaluative Assessment of Cardiac Events-Prospective Heart Failure Study. LBM and FM were calculated using equations developed from the National Health and Nutrition Examination Survey. LBM and FM index, calculated by dividing LBM or FM in kilograms by the square of height in meters, were used for analysis. We used restricted cubic spline and Cox model to examine the association of LBM and FM index with 1-year all-cause mortality. RESULTS: Among 4,305 patients, median (interquartile range) age was 67 (57–76) years, 37.7% were women. During the 1-year follow-up, 691 (16.1%) patients died. After adjustments, LBM index was inversely associated with mortality in a linear way (P-overall association < 0.01; P-non-linearity = 0.52), but no association between FM index and mortality was observed (P-overall association = 0.19). Compared with patients in the 1st quartile of the LBM index, those in the 2nd, 3rd, and 4th quartiles had lower risk of death, with hazard ratio of 0.80 (95% CI 0.66–0.97), 0.65 (95% CI 0.52–0.83), and 0.61 (95% CI 0.45–0.82), respectively. In contrast, this association was not observed between FM index quartiles and mortality. CONCLUSION: Higher LBM, not FM, was associated with lower 1-year mortality among HF patients.
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spelling pubmed-89189162022-03-15 Association of Lean Body Mass and Fat Mass With 1-Year Mortality Among Patients With Heart Failure Ge, Yilan Liu, Jiamin Zhang, Lihua Gao, Yan Wang, Bin Wang, Xiuling Li, Jing Zheng, Xin Front Cardiovasc Med Cardiovascular Medicine BACKGROUND: Prior studies have found an unexplained inverse or U-shaped relationship between body mass index (BMI) and mortality in heart failure (HF) patients. However, little is known about the independent effects of each body component, i.e., lean body mass (LBM) and fat mass (FM), on mortality. METHODS: We used data from the China Patient-centered Evaluative Assessment of Cardiac Events-Prospective Heart Failure Study. LBM and FM were calculated using equations developed from the National Health and Nutrition Examination Survey. LBM and FM index, calculated by dividing LBM or FM in kilograms by the square of height in meters, were used for analysis. We used restricted cubic spline and Cox model to examine the association of LBM and FM index with 1-year all-cause mortality. RESULTS: Among 4,305 patients, median (interquartile range) age was 67 (57–76) years, 37.7% were women. During the 1-year follow-up, 691 (16.1%) patients died. After adjustments, LBM index was inversely associated with mortality in a linear way (P-overall association < 0.01; P-non-linearity = 0.52), but no association between FM index and mortality was observed (P-overall association = 0.19). Compared with patients in the 1st quartile of the LBM index, those in the 2nd, 3rd, and 4th quartiles had lower risk of death, with hazard ratio of 0.80 (95% CI 0.66–0.97), 0.65 (95% CI 0.52–0.83), and 0.61 (95% CI 0.45–0.82), respectively. In contrast, this association was not observed between FM index quartiles and mortality. CONCLUSION: Higher LBM, not FM, was associated with lower 1-year mortality among HF patients. Frontiers Media S.A. 2022-02-28 /pmc/articles/PMC8918916/ /pubmed/35295256 http://dx.doi.org/10.3389/fcvm.2022.824628 Text en Copyright © 2022 Ge, Liu, Zhang, Gao, Wang, Wang, Li and Zheng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Ge, Yilan
Liu, Jiamin
Zhang, Lihua
Gao, Yan
Wang, Bin
Wang, Xiuling
Li, Jing
Zheng, Xin
Association of Lean Body Mass and Fat Mass With 1-Year Mortality Among Patients With Heart Failure
title Association of Lean Body Mass and Fat Mass With 1-Year Mortality Among Patients With Heart Failure
title_full Association of Lean Body Mass and Fat Mass With 1-Year Mortality Among Patients With Heart Failure
title_fullStr Association of Lean Body Mass and Fat Mass With 1-Year Mortality Among Patients With Heart Failure
title_full_unstemmed Association of Lean Body Mass and Fat Mass With 1-Year Mortality Among Patients With Heart Failure
title_short Association of Lean Body Mass and Fat Mass With 1-Year Mortality Among Patients With Heart Failure
title_sort association of lean body mass and fat mass with 1-year mortality among patients with heart failure
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918916/
https://www.ncbi.nlm.nih.gov/pubmed/35295256
http://dx.doi.org/10.3389/fcvm.2022.824628
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