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Usefulness of Tissue Tracking by Cardiac Magnetic Resonance to Predict Events in Patients With Hypertrophic Cardiomyopathy.

Authors :
Martínez-Vives P
Cecconi A
Vera A
Fernández C
López-Melgar B
Sanz-García A
Rojas-González A
Nogales-Romo MT
Hernandez Muñiz S
Olivera MJ
Caballero P
Jiménez-Borreguero LJ
Alfonso F
Source :
The American journal of cardiology [Am J Cardiol] 2022 Jul 01; Vol. 174, pp. 126-135. Date of Electronic Publication: 2022 May 04.
Publication Year :
2022

Abstract

Hypertrophic cardiomyopathy (HC) is the most common cardiovascular inherited disease, and it is associated with arrhythmic events, heart failure, and death. Strain analysis by tissue tracking (TT) techniques on cardiac magnetic resonance (CMR) is a novel noninvasive diagnostic tool. However, the usefulness of CMR-TT to identify patients with HC at risk of adverse outcomes remains unknown. CMR strain parameters by CMR-TT were prospectively measured in a cohort of 136 consecutive patients with HC. Clinical (death or readmission for heart failure) and arrhythmic (any ventricular tachycardia) events during follow-up were prospectively recorded. Global radial systolic strain rate and global radial diastolic strain rate showed the best area under the receiver operating characteristic curve (ROC curve) to predict adverse clinical events. On Cox multivariate regression models, a global radial systolic strain rate value <1.4/s and a global radial diastolic strain rate value ≥ -1.38/s were independently associated with clinical events at follow-up (adjusted hazard ratio 6.57, 95% confidence interval [CI] 2.01 to 21.49, p = 0.002; adjusted hazard ratio 5.96, 95% CI 1.79 to 19.89, p = 0.004, respectively). Regarding arrhythmic events, global radial peak strain <27% showed the best area under the ROC curve and remained independently associated with ventricular tachycardia after adjustment for confounders (odds ratio 7.33, 95% CI 1.07 to 50.41, p = 0.043). CMR strain parameters by TT predict clinical and arrhythmic events in patients with HC.<br />Competing Interests: Disclosures The authors have no conflicts of interest to declare.<br /> (Copyright © 2022 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1879-1913
Volume :
174
Database :
MEDLINE
Journal :
The American journal of cardiology
Publication Type :
Academic Journal
Accession number :
35525624
Full Text :
https://doi.org/10.1016/j.amjcard.2022.03.024