Prognostic Value of Cardiac Magnetic Resonance Imaging in Acute Coronary Syndrome Patients With Troponin Elevation and Nonobstructive Coronary Arteries.


Journal

Mayo Clinic proceedings
ISSN: 1942-5546
Titre abrégé: Mayo Clin Proc
Pays: England
ID NLM: 0405543

Informations de publication

Date de publication:
07 2021
Historique:
received: 11 02 2020
revised: 27 10 2020
accepted: 04 11 2020
pubmed: 17 5 2021
medline: 23 7 2021
entrez: 16 5 2021
Statut: ppublish

Résumé

To define the diagnostic yield of cardiac magnetic resonance (CMR) in differentiating the underlying causes of myocardial infarction with nonobstructive coronary arteries (MINOCA) and to determine the long-term prognostic implications of such diagnoses. Cardiac magnetic resonance evaluation was performed in 227 patients (mean age, 56.4±14.9 years; 120 [53%] female) with a "working diagnosis" of MINOCA as defined by presentation with a troponin-positive acute coronary syndrome (troponin I >0.04 μg/L) and nonobstructed coronary arteries between January 1, 2007, and February 28, 2013. Follow-up was performed to assess the primary composite end point of myocardial infarction, heart failure, and all-cause mortality. Cardiac magnetic resonance identified nonstructural cardiomyopathies in 97 (43%) patients, myocardial infarction in 55 (24%) patients, structural cardiomyopathies in 27 (12%) patients, and pulmonary embolism in 1 patient. No CMR abnormalities were identified in the remaining patients. Kaplan-Meier analysis demonstrated the ability of a CMR diagnosis to predict the risk of the primary composite end point (P=.005) at 5-year follow-up. Worse outcomes were seen among patients with "true" MINOCA and a normal CMR image compared with those with CMR-confirmed myocardial infarction (P=.02). Use of antiplatelets (78% [37/45] vs 95% [52/55]; P=.01), beta blockers (56% [25/45] vs 82% [45/55]; P=.004), and statins (64% [29/45] vs 85% [47/55]; P=.01) was significantly lower in patients with true MINOCA with normal CMR imaging compared with those with CMR-confirmed myocardial infarction. Cardiac magnetic resonance carries a high diagnostic yield in patients with MINOCA and predicts long-term prognosis. Patients with MINOCA with normal CMR imaging had an increased rate of major adverse cardiac events and lower use of guideline-recommended myocardial infarction therapy compared with those with CMR-confirmed myocardial infarction.

Identifiants

pubmed: 33992454
pii: S0025-6196(20)31388-4
doi: 10.1016/j.mayocp.2020.11.026
pii:
doi:

Substances chimiques

Troponin 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1822-1834

Informations de copyright

Crown Copyright © 2020. Published by Elsevier Inc. All rights reserved.

Auteurs

Sushil Allen Luis (SA)

Department of Cardiology, The Prince Charles Hospital, Brisbane, Australia; School of Medicine, The University of Queensland, Brisbane, Australia; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN. Electronic address: luis.s@mayo.edu.

Chris R Luis (CR)

Department of Cardiology, The Prince Charles Hospital, Brisbane, Australia; School of Medicine, The University of Queensland, Brisbane, Australia.

Mohsen Habibian (M)

Department of Cardiology, The Prince Charles Hospital, Brisbane, Australia; School of Medicine, The University of Queensland, Brisbane, Australia.

Myo T Lwin (MT)

Department of Cardiology, The Prince Charles Hospital, Brisbane, Australia.

Tahlia C Gadowski (TC)

Department of Cardiology, The Prince Charles Hospital, Brisbane, Australia.

Jonathan Chan (J)

Department of Cardiology, The Prince Charles Hospital, Brisbane, Australia; School of Medicine, Griffith University, Gold Coast, Australia.

Christian Hamilton-Craig (C)

Department of Cardiology, The Prince Charles Hospital, Brisbane, Australia; School of Medicine, The University of Queensland, Brisbane, Australia.

Owen Christopher Raffel (OC)

Department of Cardiology, The Prince Charles Hospital, Brisbane, Australia; School of Medicine, The University of Queensland, Brisbane, Australia.

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Classifications MeSH