MRI Assessment of Myocardial Deformation for Risk Stratification of Major Arrhythmic Events in Patients With Non‐Ischemic Cardiomyopathy Eligible for Primary Prevention Implantable Cardioverter Defibrillators

Author:

Ghanbari Fahime1ORCID,Cirillo Julia1,Rodriguez Jennifer1,Yue Jennifer1,Morales Manuel A.1ORCID,Kramer Daniel B.1,Manning Warren J.12,Nezafat Reza1ORCID,Ngo Long H.1

Affiliation:

1. Department of Medicine, Cardiovascular Division Beth Israel Deaconess Medical Center and Harvard Medical School Boston Massachusetts USA

2. Department of Radiology Beth Israel Deaconess Medical Center and Harvard Medical School Boston Massachusetts USA

Abstract

BackgroundImplantable cardioverter‐defibrillator (ICD) intervention is an established prophylactic measure. Identifying high‐benefit patients poses challenges.PurposeTo assess the prognostic value of cardiac magnetic resonance imaging (MRI) parameters including myocardial deformation for risk stratification of ICD intervention in non‐ischemic cardiomyopathy (NICM) while accounting for competing mortality risk.Study TypeRetrospective and prospective.PopulationOne hundred and fifty‐nine NICM patients eligible for primary ICD (117 male, 54 ± 13 years) and 49 control subjects (38 male, 53 ± 5 years).Field Strength/SequenceBalanced steady state free precession (bSSFP) and three‐dimensional phase‐sensitive inversion‐recovery late gadolinium enhancement (LGE) sequences at 1.5 T or 3 T.AssessmentPatients underwent MRI before ICD implantation and were followed up. Functional parameters, left ventricular global radial, circumferential and longitudinal strain, right ventricular free wall longitudinal strain (RV FWLS) and left atrial strain were measured (Circle, cvi42). LGE presence was assessed visually. The primary endpoint was appropriate ICD intervention. Models were developed to determine outcome, with and without accounting for competing risk (non‐sudden cardiac death), and compared to a baseline model including LGE and clinical features.Statistical TestsWilcoxon non‐parametric test, Cox's proportional hazards regression, Fine‐Gray competing risk model, and cumulative incidence functions. Harrell's c statistic was used for model selection. A P value <0.05 was considered statistically significant.ResultsFollow‐up duration was 1176 ± 960 days (median: 896). Twenty‐six patients (16%) met the primary endpoint. RV FWLS demonstrated a significant difference between patients with and without events (−12.5% ± 5 vs. −16.4% ± 5.5). Univariable analyses showed LGE and RV FWLS were significantly associated with outcome (LGE: hazard ratio [HR] = 3.69, 95% CI = 1.28–10.62; RV FWLS: HR = 2.04, 95% CI = 1.30–3.22). RV FWLS significantly improved the prognostic value of baseline model and remained significant in multivariable analysis, accounting for competing risk (HR = 1.73, 95% CI = 1.12–2.66).Data ConclusionsIn NICM, RV FWLS may provide additional predictive value for predicting appropriate ICD intervention.Level of Evidence2Technical EfficacyStage 5

Funder

National Institutes of Health

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

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