Diagnostic Impact and Prognostic Value of Cardiac Magnetic Resonance in Patients With Ventricular Arrhythmias

Cardiac magnetic resonance (CMR) characterizes myocardial substrate relevant to sudden cardiac death (SCD). However, its clinical value in patients presenting with ventricular arrhythmias is still being defined.The authors sought to examine the diagnostic and prognostic value of multiparametric CMR in a cohort of consecutive patients referred for assessment of ventricular arrhythmias.Consecutive patients undergoing CMR for nonsustained ventricular tachycardia (NSVT) (n = 345) or sustained ventricular tachycardia (VT)/aborted SCD (n = 297) were followed over a median of 4.4 years. Major adverse cardiac events included death, recurrent VT/ventricular fibrillation requiring therapy, and hospitalization for congestive heart failure.Of the 642 patients, 256 were women (40%), mean age was 54 ± 15 years, and median left ventricular ejection fraction was 58% (IQR: 49%-63%). A structurally abnormal heart by CMR assessment was detected in 40% of patients with NSVT and 66% in those with VT/SCD (P < 0.001). CMR assessment yielded a diagnostic change in 27% of NSVT patients vs 41% of those with VT/SCD (P < 0.001). During follow-up, 51 patients (15%) with NSVT and 104 patients (35%) with VT/SCD experienced major adverse cardiac events (MACE). An abnormal CMR was associated with a higher annual rate for MACE for both NSVT (0.7% vs 7.7%; P < 0.001) and VT/SCD (3.8% vs 13.3%; P < 0.001) patients. In a multivariate model including left ventricular ejection fraction, an abnormal CMR remained strongly associated with MACE in NSVT (HR: 5.23 [95% CI: 2.28-12.0]; P < 0.001) and VT/SCD (HR: 1.88 [95% CI: 1.07-3.30]; P = 0.03). Adding CMR assessment to the multivariable model for MACE yielded a significant improvement in the integrated discrimination improvement and an improvement in the C-statistic in the NSVT cohort.In patients presenting with ventricular arrhythmias, multiparametric CMR assessment provides diagnostic clarification and effective risk stratification beyond current standard of care.