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

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 use...

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Bibliographic Details
Published in:The American journal of cardiology 2022-07, Vol.174, p.126-135
Main Authors: Martínez-Vives, Pablo, Cecconi, Alberto, Vera, Alberto, Fernández, Cristina, López-Melgar, Beatriz, Sanz-García, Ancor, Rojas-González, Antonio, Nogales-Romo, María Teresa, Hernandez Muñiz, Susana, Olivera, María José, Caballero, Paloma, Jiménez-Borreguero, Luis Jesús, Alfonso, Fernando
Format: Article
Language:English
Subjects:
Cardiomyopathy
Confidence intervals
Congestive heart failure
Electrocardiography
Failure analysis
Health hazards
Heart failure
Hereditary diseases
Magnetic resonance
Parameters
Patients
Regression analysis
Regression models
Resonance
Software
Statistical analysis
Strain analysis
Strain rate
Survival analysis
Tachycardia
Tissue analysis
Tracking
Ventricle
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Summary: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
ISSN:0002-9149
1879-1913
DOI:10.1016/j.amjcard.2022.03.024