Usefulness of Addition of Magnetic Resonance Imaging to Echocardiographic Imaging to Predict Left Ventricular Reverse Remodeling in Patients With Nonischemic Cardiomyopathy

Defining short-term prognosis in nonischemic cardiomyopathy (NICM) is challenging in clinical practice. Although left ventricular reverse remodeling (LVRR) is a key prognostic marker in NICM there are few parameters able to predict it. We investigated whether a complete structural and functional cardiac magnetic resonance imaging (cMRI) evaluation was incremental to the classic clinical-echocardiographic approach in predicting LVRR in a large cohort of NICM patients receiving evidence-based treatment. Patients with a recent diagnosis of NICM (<3 months) who underwent complete clinical, echocardiographic and cMRI assessment were consecutively enrolled from 2008 to 2016. LVRR was defined as an increase in >= 10 points or normalization of left ventricular ejection fraction, associated with a >= 10% reduction or normalization of left ventricular end-diastolic diameter at midterm (median time 20 months) echocardiographic follow-up. Among 80 NICM patients included in the study, LVRR was observed in 43 (54%). At multivariate analysis, the clinical-echocardiographic evaluation failed to identify independent predictors of LVRR. However, absence of late gadolinium enhancement (odds ratio [OR] 9.07; confidence interval [CI] 2.7 to 13.1; p value 0.0003), left ventricular mass (OR 1.018; CI 1.001 to 1.036; p value 0.045) and peak circumferential strain (OR 1.213; CI 1.011 to 1.470; p value 0.049) assessed by cMRI were independently associated with LVRR. A model for LVRR prediction based on cMRI and clinical-echocardiographic parameters performed significantly better than the clinical-echocardiographic model alone (area under curve 0.84 vs 0.72; p value 0.023). In conclusion, an integrated imaging approach with the addition of a structural and functional cMRI study to the standard-of-care evaluation improves the prediction of LVRR in a large cohort of patients with recently diagnosed NICM receiving evidence-based treatment. (C) 2018 Elsevier Inc. All rights reserved.