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Body Mass Index: An Effective Predictor of Ejection Fraction Improvement in Heart Failure

Background: Heart failure patients with higher body mass index (BMI) exhibit better clinical outcomes. Therefore, we assessed whether the BMI can predict left ventricular ejection fraction (EF) improvement following heart failure. Methods and Results: We included 184 patients newly diagnosed with di...

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Autores principales: Ye, Li-fang, Li, Xue-ling, Wang, Shao-mei, Wang, Yun-fan, Zheng, Ya-ru, Wang, Li-hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671453/
https://www.ncbi.nlm.nih.gov/pubmed/34926594
http://dx.doi.org/10.3389/fcvm.2021.586240
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author Ye, Li-fang
Li, Xue-ling
Wang, Shao-mei
Wang, Yun-fan
Zheng, Ya-ru
Wang, Li-hong
author_facet Ye, Li-fang
Li, Xue-ling
Wang, Shao-mei
Wang, Yun-fan
Zheng, Ya-ru
Wang, Li-hong
author_sort Ye, Li-fang
collection PubMed
description Background: Heart failure patients with higher body mass index (BMI) exhibit better clinical outcomes. Therefore, we assessed whether the BMI can predict left ventricular ejection fraction (EF) improvement following heart failure. Methods and Results: We included 184 patients newly diagnosed with dilated cardiomyopathy and reduced EF in our center and who underwent follow-up examination of EF via echocardiography after 6 months. The EF improved at 6 months in 88 participants, who were included in the heart failure with recovered EF (HFrecEF) subgroup. Patients in whom the EF remained reduced were included in the heart failure with persistently reduced EF (persistent HFrEF) subgroup. Our analyses revealed that EF increase correlated with age (r = −0.254, P = 0.001), left ventricular diastolic dimension (LVDD; r = −0.210, P = 0.004), diabetes (P = 0.034), brain natriuretic peptide (r = −0.199, P = 0.007), and BMI grade (P = 0.000). BMI grade was significantly associated with elevated EF after adjustment for other variables (P = 0.001). On multivariable analysis, compared to patients with persistent HFrEF, those with HFrecEF had higher BMI [odds ratio (OR) = 2.342 per one standard deviation increase; P = 0.001] and lower LVDD (OR = 0.466 per one standard deviation increase; P = 0.001). ROC-curve analysis data showed that BMI > 22.66 kg/m2 (sensitivity 84.1%, specificity 59.4%, AUC 0.745, P = 0.000) indicate high probability of EF recovery in 6 months. Conclusions: Our data suggest that higher BMI is strongly correlated with the recovered EF and that BMI is an effective predictor of EF improvement in patients with heart failure and reduced EF.
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spelling pubmed-86714532021-12-16 Body Mass Index: An Effective Predictor of Ejection Fraction Improvement in Heart Failure Ye, Li-fang Li, Xue-ling Wang, Shao-mei Wang, Yun-fan Zheng, Ya-ru Wang, Li-hong Front Cardiovasc Med Cardiovascular Medicine Background: Heart failure patients with higher body mass index (BMI) exhibit better clinical outcomes. Therefore, we assessed whether the BMI can predict left ventricular ejection fraction (EF) improvement following heart failure. Methods and Results: We included 184 patients newly diagnosed with dilated cardiomyopathy and reduced EF in our center and who underwent follow-up examination of EF via echocardiography after 6 months. The EF improved at 6 months in 88 participants, who were included in the heart failure with recovered EF (HFrecEF) subgroup. Patients in whom the EF remained reduced were included in the heart failure with persistently reduced EF (persistent HFrEF) subgroup. Our analyses revealed that EF increase correlated with age (r = −0.254, P = 0.001), left ventricular diastolic dimension (LVDD; r = −0.210, P = 0.004), diabetes (P = 0.034), brain natriuretic peptide (r = −0.199, P = 0.007), and BMI grade (P = 0.000). BMI grade was significantly associated with elevated EF after adjustment for other variables (P = 0.001). On multivariable analysis, compared to patients with persistent HFrEF, those with HFrecEF had higher BMI [odds ratio (OR) = 2.342 per one standard deviation increase; P = 0.001] and lower LVDD (OR = 0.466 per one standard deviation increase; P = 0.001). ROC-curve analysis data showed that BMI > 22.66 kg/m2 (sensitivity 84.1%, specificity 59.4%, AUC 0.745, P = 0.000) indicate high probability of EF recovery in 6 months. Conclusions: Our data suggest that higher BMI is strongly correlated with the recovered EF and that BMI is an effective predictor of EF improvement in patients with heart failure and reduced EF. Frontiers Media S.A. 2021-12-01 /pmc/articles/PMC8671453/ /pubmed/34926594 http://dx.doi.org/10.3389/fcvm.2021.586240 Text en Copyright © 2021 Ye, Li, Wang, Wang, Zheng and Wang. 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
Ye, Li-fang
Li, Xue-ling
Wang, Shao-mei
Wang, Yun-fan
Zheng, Ya-ru
Wang, Li-hong
Body Mass Index: An Effective Predictor of Ejection Fraction Improvement in Heart Failure
title Body Mass Index: An Effective Predictor of Ejection Fraction Improvement in Heart Failure
title_full Body Mass Index: An Effective Predictor of Ejection Fraction Improvement in Heart Failure
title_fullStr Body Mass Index: An Effective Predictor of Ejection Fraction Improvement in Heart Failure
title_full_unstemmed Body Mass Index: An Effective Predictor of Ejection Fraction Improvement in Heart Failure
title_short Body Mass Index: An Effective Predictor of Ejection Fraction Improvement in Heart Failure
title_sort body mass index: an effective predictor of ejection fraction improvement in heart failure
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671453/
https://www.ncbi.nlm.nih.gov/pubmed/34926594
http://dx.doi.org/10.3389/fcvm.2021.586240
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