The DERIVATE study was conceived to integrate the information resulted from clinical data, transthoracic echocardiography, and cardiac magnetic resonance (CMR) imaging to provide a more reliable risk stratification in patients affected by heart failure (HF) and worthy of prophylactic implanted cardioverter defibrillator (ICD) therapy. The main purposes of this multicenter registry are to: 1) determine CMR findings, and specifically late gadolinium enhancement (LGE) features, T1 mapping, and extracellular volume (ECV) that predict sudden cardiac death (SCD) and ventricular arrhythmia; 2) provide a comprehensive clinical and imaging score that effectively improves the selection of patients who deserve a prophylactic ICD therapy; 3) evaluate the contribution of machine learning to predict major adverse cardiac events (MACE) as compared to standard clinical scores.
The current guidelines provide indications for primary prevention implanted cardioverter defibrillator (ICD) therapy based on left ventricle ejection fraction (LVEF) and New York Heart Association (NYHA) class. This strategy is able to intercept only part of fatal arrhythmic events and, on the other hand, led to useless ICD implantations mainly among those patients with severe heart failure (HF) who will never incur in sever arrhythmias but rather will die because of decompensated HF. Cardiac magnetic resonance offers the possibility of identifying and quantitatively assessing myocardium fibrosis both localized in a specific area and diffuse and has already proved a significant prognostic meaning. DERIVATE is a prospective, international, multicenter, observational registry of stable HF patients with reduced LVEF who underwent clinical evaluation, transthoracic echocardiography (TTE) and cardiac magnetic resonance (CMR). Specifically, the primary aim of DERIVATE is to determine CMR findings that predict outcomes, with incremental value over LVEF and NYHA classification. The DERIVATE registry uses a collaborative design with contribution and merger of similar prospectively enrolled cohorts from 33 sites in 6 countries in Europe and North America. The targeted population for the DERIVATE registry is a large sample of patients with clinical history of chronic HF who have undergone CMR by referral physician. Indication for CMR exams was recorded and classified according to the known causes of HF. All DERIVATE study patients are followed for all-cause mortality, sudden cardiac death (SCD), cardiovascular death (including death caused by acute myocardial infarction and stroke), sustained ventricular tachycardia (VT), aborted SCD, hospitalization or cardiac death related to chronic HF. The follow up minimum period is 12 months. Complete risk factors, clinical presentation, echocardiography and CMR data recording, and follow-up for all-outcomes will contribute data for common analysis.
Study Type
OBSERVATIONAL
Enrollment
4,000
Loyola University of Chicago,
Chicago, Illinois, United States
Medical University of South Carolina
Charleston, South Carolina, United States
KU Leuven-University of Leuven
Leuven, Belgium
St.Luke's Hospital Thessaloniki
Thessaloniki, Greece
Ospedale Medico-Chirurgico Accreditato Villa dei Fiori
Acerra, Italy
University Hospital Policlinico Consorziale
Bari, Italy
Azienda Ospedaliera Papa Giovanni XXIII
Bergamo, Italy
A.O. Desio e Vimercate - P.O. Desio
Desio, Italy
Ospedali Riuniti University Hospital
Foggia, Italy
University of Messina
Messina, Italy
...and 19 more locations
all-cause mortality
Time frame: The follow up minimum period is 12 months
sudden cardiac death (SCD)
Time frame: The follow up minimum period is 12 months
aborted sudden cardiac death (SCD)
Time frame: The follow up minimum period is 12 months
heart failure (HF) death
Time frame: The follow up minimum period is 12 months
sustained ventricular tachycardia (VT)
Time frame: The follow up minimum period is 12 months
major adverse cardiac events (MACE)
composite end point of SCD, aborted SCD, cardiovascular death, and sustained VT
Time frame: The follow up minimum period is 12 months
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