Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8962778 | The American Journal of Cardiology | 2018 | 23 Pages |
Abstract
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 â¥10 points or normalization of left ventricular ejection fraction, associated with a â¥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.
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Authors
Marco MD, Marco MD, Giancarlo MD, Manuel MD, Giorgio MD, Federico MD, Andrea MD, Marco MD, Marta MD, Alessandro MD, Pierluigi MD, Giulia PhD, Federica PhD, Antonio MD, Gaetano MD, Maria Assunta MD, Davide MD, Gianfranco MD,