Dataset related to the article "CarDiac magnEtic Resonance for prophylactic Implantable-cardioVerter defibrillAtor ThErapy in Non Ischemic Cardiomyopathy: a new score based on Late Gadolinium Enhancement distribution"

This record contains raw data related to the article "CarDiac magnEtic Resonance for prophylactic Implantable-cardioVerter defibrillAtor ThErapy in Non Ischemic Cardiomyopathy: a new score based on Late Gadolinium Enhancement  distribution"

Background: Selection of the patients for implantable cardioverter defibrillator (ICD) primary prevention therapy in non-ischemic  cardiomyopathy (NICM) needs to be improved.Objectives: to evaluate the additional prognostic value of a new cardiac magnetic resonance (CMR) score based on late gadolinium enhancement (LGE) pattern distribution (DERIVATE Risk Score 2.0) as compared to previously published DERIVATE Risk Score 1.0 in a cohort of NICM patients enrolled in the DERIVATE registry.Methods: 1384 NICM patients with chronic heart failure (HF) and left ventricular ejection fraction (LVEF)<50% were evaluated for primary sudden cardiac death (SCD) prevention therapy. Major adverse arrhythmic cardiac events (MAACE) were the primary endpoint.Results: During a median follow-up of 959 days, MAACE occurred in 128 (9.2%) patients. In the multivariate analyses, male gender (HR: 1.605 [95% CI: 1.051-2.451]; p:0.028), LVEF per point % (HR:0.977[95%CI:0.961-0.993); p:0.005) and presence and location of midwall LGE (weighted HR:1.066 [95%CI:1.045-1.086), p<0.001) were independent predictors of MAACE. A multiparametric CMR weighted predictive derived score (DERIVATE Risk Score 2.0) provided a higher additional prognostic value vs TTE-LVEF cut-off of 35% as compared to the previous published DERIVATE Risk Score 1.0 with a net reclassification improvement (NRI) of 54.52% (CI95%: 36.52%-72.52%) (p<0.001). These findings were confirmed in the validation cohort.Conclusions: The presence of midwall LGE but also the location of scar confers an added and independent MAACE risk to a large NICM population.