Association between reduced myocardial contraction fraction and cardiovascular disease outcomes: The Multi-Ethnic Study of Atherosclerosis.


Journal

International journal of cardiology
ISSN: 1874-1754
Titre abrégé: Int J Cardiol
Pays: Netherlands
ID NLM: 8200291

Informations de publication

Date de publication:
15 10 2019
Historique:
received: 15 01 2019
revised: 04 07 2019
accepted: 10 07 2019
pubmed: 23 7 2019
medline: 14 7 2020
entrez: 23 7 2019
Statut: ppublish

Résumé

The myocardial contraction fraction (MCF: stroke volume to myocardial volume) is a volumetric measure of left ventricular myocardial shortening. We examined the relationship of MCF, measured by cardiac magnetic resonance imaging (cMRI), to incident cardiovascular (CV) events within the Multi-Ethnic Study of Atherosclerosis (MESA). Participants (n = 5000, aged 45-84 years) underwent cMRI. CVD events (myocardial infarction, resuscitated cardiac arrest, stroke, coronary heart disease: CHD death, and stroke death). CHD and heart failure (HF) events. Cox proportional hazards regression was used to estimate the hazard ratio (HR) and 95% confidence intervals (CI) for outcomes. There were 299 incident CVD, 188 CHD, and 151 HF events over 10.2 years. The lowest MCF quartile was associated with an increased risk for incident CVD [HR 2.42, CI: 1.58-3.72], CHD [HR 2.32, CI: 1.36-3.96] and HF events [HR 1.99, CI: 1.15-3.44]. In a model adjusted for demographics, CV risk factors, antihypertensive and lipid-lowering medication use, each standard deviation decrease in MCF was associated with incident CVD [HR 1.42, CI: 1.23-1.64], CHD [HR 1.40, CI: 1.17-1.67] and HF [HR 1.58, CI: 1.30-1.94]. In a subgroup analysis of participants with preserved ejection fraction and without left ventricular hypertrophy, the lowest MCF quartile and each standard deviation decrease in MCF was also associated with an increased risk for incident CVD in fully-adjusted analyses. MCF is a novel measure that can be measured using cMRI. In this multi-ethnic cohort, MCF is a measure that can be used to predict incident CVD events.

Sections du résumé

BACKGROUND
The myocardial contraction fraction (MCF: stroke volume to myocardial volume) is a volumetric measure of left ventricular myocardial shortening. We examined the relationship of MCF, measured by cardiac magnetic resonance imaging (cMRI), to incident cardiovascular (CV) events within the Multi-Ethnic Study of Atherosclerosis (MESA).
METHODS
Participants (n = 5000, aged 45-84 years) underwent cMRI.
PRIMARY OUTCOME
CVD events (myocardial infarction, resuscitated cardiac arrest, stroke, coronary heart disease: CHD death, and stroke death).
SECONDARY OUTCOMES
CHD and heart failure (HF) events. Cox proportional hazards regression was used to estimate the hazard ratio (HR) and 95% confidence intervals (CI) for outcomes.
RESULTS
There were 299 incident CVD, 188 CHD, and 151 HF events over 10.2 years. The lowest MCF quartile was associated with an increased risk for incident CVD [HR 2.42, CI: 1.58-3.72], CHD [HR 2.32, CI: 1.36-3.96] and HF events [HR 1.99, CI: 1.15-3.44]. In a model adjusted for demographics, CV risk factors, antihypertensive and lipid-lowering medication use, each standard deviation decrease in MCF was associated with incident CVD [HR 1.42, CI: 1.23-1.64], CHD [HR 1.40, CI: 1.17-1.67] and HF [HR 1.58, CI: 1.30-1.94]. In a subgroup analysis of participants with preserved ejection fraction and without left ventricular hypertrophy, the lowest MCF quartile and each standard deviation decrease in MCF was also associated with an increased risk for incident CVD in fully-adjusted analyses.
CONCLUSIONS
MCF is a novel measure that can be measured using cMRI. In this multi-ethnic cohort, MCF is a measure that can be used to predict incident CVD events.

Identifiants

pubmed: 31327521
pii: S0167-5273(19)30083-X
doi: 10.1016/j.ijcard.2019.07.040
pmc: PMC7175692
mid: NIHMS1535706
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

10-16

Subventions

Organisme : NHLBI NIH HHS
ID : HHSN268201500003C
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95160
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95163
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001079
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL127028
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95168
Pays : United States
Organisme : NHLBI NIH HHS
ID : K23 HL141682
Pays : United States
Organisme : American Heart Association-American Stroke Association
ID : 18AMFDP34380732
Pays : United States
Organisme : NIA NIH HHS
ID : K24 AG036778
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95165
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95159
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95161
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201500003I
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95167
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL117323
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000040
Pays : United States
Organisme : NHLBI NIH HHS
ID : K24 HL125704
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95166
Pays : United States
Organisme : NHLBI NIH HHS
ID : P01 HL047540
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95169
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95164
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001420
Pays : United States
Organisme : NCATS NIH HHS
ID : KL2 TR001874
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95162
Pays : United States

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

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Auteurs

Marwah Abdalla (M)

Department of Medicine, Division of Cardiology, Columbia University Medical Center, New York, NY, United States of America. Electronic address: ma2947@cumc.columbia.edu.

Elvis A Akwo (EA)

Department of Medicine, Division of Epidemiology, Vanderbilt University, Nashville, TN, United States of America.

David A Bluemke (DA)

Department of Radiology, School of Medicine and Public Health University of Wisconsin, Madison, WI, United States of America.

João A C Lima (JAC)

Department of Medicine, Division of Cardiology, School of Medicine, Johns Hopkins University, Baltimore, MD, United States of America.

Daichi Shimbo (D)

Department of Medicine, Division of Cardiology, Columbia University Medical Center, New York, NY, United States of America.

Mathew S Maurer (MS)

Department of Medicine, Division of Cardiology, Columbia University Medical Center, New York, NY, United States of America.

Alain G Bertoni (AG)

Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, United States of America.

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Classifications MeSH