Cargando…

Association of obesity phenotypes with electrocardiographic subclinical myocardial injury in the general population

BACKGROUND: As the debate continues about whether obesity in metabolically healthy individuals is associated with poor outcomes or not, investigating the association between the obesity phenotypes and markers of subclinical myocardial injury will help identify those at risk for future cardiovascular...

Descripción completa

Detalles Bibliográficos
Autores principales: Vasim, Izzah, Ahmad, Muhammad I., Mongraw‐Chaffin, Morgana, Soliman, Elsayed Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Periodicals, Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712312/
https://www.ncbi.nlm.nih.gov/pubmed/30652323
http://dx.doi.org/10.1002/clc.23155
_version_ 1783446654638096384
author Vasim, Izzah
Ahmad, Muhammad I.
Mongraw‐Chaffin, Morgana
Soliman, Elsayed Z.
author_facet Vasim, Izzah
Ahmad, Muhammad I.
Mongraw‐Chaffin, Morgana
Soliman, Elsayed Z.
author_sort Vasim, Izzah
collection PubMed
description BACKGROUND: As the debate continues about whether obesity in metabolically healthy individuals is associated with poor outcomes or not, investigating the association between the obesity phenotypes and markers of subclinical myocardial injury will help identify those at risk for future cardiovascular events (cardiovascular disease [CVD]). HYPOTHESIS: We hypothesize that obesity phenotypes including metabolically healthy obesity (MHO) is associated with subclinical myocardial injury (SC‐MI). METHODS: This analysis included 3423 participants (57.85 ± 13.06 years, 53.3% women) without known CVD from National Health and Nutrition Examination Survey (NHANES) III. Multivariable logistic regression models were used to examine the cross‐sectional association between four obesity phenotypes (metabolically healthy nonobese (MHNO) [reference], metabolically unhealthy nonobese (MUNO), MHO, and metabolically unhealthy obese (MUO) with SC‐MI. SC‐MI was defined from the 12‐lead electrocardiogram as cardiac infarction/injury score ≥ 10 units. Metabolic syndrome (MetS) was defined according to the International Diabetes Federation consensus definition. Obesity was defined as body mass index ≥30 kg/m(2). RESULTS: MUO was associated with higher odds of SC‐MI compared with MHNO (odds ratio [OR], 1.53; 95% confidence interval [CI], 1.22‐1.92, P = 0.0005). This association was stronger in men vs women (OR [95% CI]: 2.20 [1.58‐2.07] vs 1.08 [0.79‐1.48]), respectively; interaction P‐value = 0.002) but was consistent in subgroups stratified by age and race. There was no significant association of MHO or MUNO with SC‐MI compared with MHNO, but there was a trend toward higher odds of SC‐MI in the MUNO group (P‐value for trend across MHNO, MUNO, and MUO = 0.0002). CONCLUSIONS: Our findings suggest that a combination of obesity and MetS confers worse prognosis and early preventive strategies aimed at weight loss and management of MetS components may decrease the risk of future poor outcomes.
format Online
Article
Text
id pubmed-6712312
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Wiley Periodicals, Inc.
record_format MEDLINE/PubMed
spelling pubmed-67123122019-08-28 Association of obesity phenotypes with electrocardiographic subclinical myocardial injury in the general population Vasim, Izzah Ahmad, Muhammad I. Mongraw‐Chaffin, Morgana Soliman, Elsayed Z. Clin Cardiol Clinical Investigations BACKGROUND: As the debate continues about whether obesity in metabolically healthy individuals is associated with poor outcomes or not, investigating the association between the obesity phenotypes and markers of subclinical myocardial injury will help identify those at risk for future cardiovascular events (cardiovascular disease [CVD]). HYPOTHESIS: We hypothesize that obesity phenotypes including metabolically healthy obesity (MHO) is associated with subclinical myocardial injury (SC‐MI). METHODS: This analysis included 3423 participants (57.85 ± 13.06 years, 53.3% women) without known CVD from National Health and Nutrition Examination Survey (NHANES) III. Multivariable logistic regression models were used to examine the cross‐sectional association between four obesity phenotypes (metabolically healthy nonobese (MHNO) [reference], metabolically unhealthy nonobese (MUNO), MHO, and metabolically unhealthy obese (MUO) with SC‐MI. SC‐MI was defined from the 12‐lead electrocardiogram as cardiac infarction/injury score ≥ 10 units. Metabolic syndrome (MetS) was defined according to the International Diabetes Federation consensus definition. Obesity was defined as body mass index ≥30 kg/m(2). RESULTS: MUO was associated with higher odds of SC‐MI compared with MHNO (odds ratio [OR], 1.53; 95% confidence interval [CI], 1.22‐1.92, P = 0.0005). This association was stronger in men vs women (OR [95% CI]: 2.20 [1.58‐2.07] vs 1.08 [0.79‐1.48]), respectively; interaction P‐value = 0.002) but was consistent in subgroups stratified by age and race. There was no significant association of MHO or MUNO with SC‐MI compared with MHNO, but there was a trend toward higher odds of SC‐MI in the MUNO group (P‐value for trend across MHNO, MUNO, and MUO = 0.0002). CONCLUSIONS: Our findings suggest that a combination of obesity and MetS confers worse prognosis and early preventive strategies aimed at weight loss and management of MetS components may decrease the risk of future poor outcomes. Wiley Periodicals, Inc. 2019-02-06 /pmc/articles/PMC6712312/ /pubmed/30652323 http://dx.doi.org/10.1002/clc.23155 Text en © 2019 The Authors. Clinical Cardiology Published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Investigations
Vasim, Izzah
Ahmad, Muhammad I.
Mongraw‐Chaffin, Morgana
Soliman, Elsayed Z.
Association of obesity phenotypes with electrocardiographic subclinical myocardial injury in the general population
title Association of obesity phenotypes with electrocardiographic subclinical myocardial injury in the general population
title_full Association of obesity phenotypes with electrocardiographic subclinical myocardial injury in the general population
title_fullStr Association of obesity phenotypes with electrocardiographic subclinical myocardial injury in the general population
title_full_unstemmed Association of obesity phenotypes with electrocardiographic subclinical myocardial injury in the general population
title_short Association of obesity phenotypes with electrocardiographic subclinical myocardial injury in the general population
title_sort association of obesity phenotypes with electrocardiographic subclinical myocardial injury in the general population
topic Clinical Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712312/
https://www.ncbi.nlm.nih.gov/pubmed/30652323
http://dx.doi.org/10.1002/clc.23155
work_keys_str_mv AT vasimizzah associationofobesityphenotypeswithelectrocardiographicsubclinicalmyocardialinjuryinthegeneralpopulation
AT ahmadmuhammadi associationofobesityphenotypeswithelectrocardiographicsubclinicalmyocardialinjuryinthegeneralpopulation
AT mongrawchaffinmorgana associationofobesityphenotypeswithelectrocardiographicsubclinicalmyocardialinjuryinthegeneralpopulation
AT solimanelsayedz associationofobesityphenotypeswithelectrocardiographicsubclinicalmyocardialinjuryinthegeneralpopulation