Risk score for the exclusion of arrhythmic events in arrhythmogenic right ventricular cardiomyopathy at first presentation. (1st September 2019)

• Record Type: Journal Article
• Authors: Vischer, Annina S.; Castelletti, Silvia; Syrris, Petros; Bastiaenen, Rachel; Miles, Chris; Akdis, Deniz; Denhaerynck, Kris; Jacoby, Daniel; Saguner, Ardan M.; Krahn, Andrew D.; Behr, Elijah R.; McKenna, William J.; Pantazis, Antonios
• Is Part Of: International journal of cardiology. Volume 290(2019)
• Page Start: 100
• Page End: 105
• Publication Date: 2019-09-01
• Subjects: Arrhythmogenic right ventricular cardiomyopathy -- Arrhythmic risk -- Ventricular arrhythmia -- ICD -- Sudden cardiac death -- Risk stratification; Cardiology -- Periodicals; Electronic journals; 616.12
• DOI: 10.1016/j.ijcard.2019.04.090
• Languages: English
• ISSNs: 0167-5273

Abstract

Abstract: Aims: Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a genetically determined heart muscle disorder associated with an increased risk of life-threatening arrhythmias in some patients. Risk stratification remains challenging. Therefore, we sought a non-invasive, easily applicable risk score to predict sustained ventricular arrhythmias in these patients. Methods: Cohort of Patients who fulfilled the 2010 ARVC task force criteria were consecutively recruited. Detailed clinical data were collected at baseline and during follow up. The clinical endpoint was a composite of recurrent sustained ventricular arrhythmias and hospitalization due to ventricular arrhythmias. Multivariable logistic regression was used to develop models to predict the arrhythmic risk. A cohort including patients from other registries in UK, Canada and Switzerland was used as a validation population. Results: One hundred and thirty-five patients were included of whom 35 patients (31.9%) reached the endpoint. A model consisting of filtered QRS duration on signal-averaged ECG, non-sustained VT (NSVT) on 24 h-ECG, and absence of negative T waves in lead aVR on 12‑lead surface ECG was able to predict arrhythmic events with a sensitivity of 81.8%, specificity of 84.0% and a negative predictive value of 95.5% at the first presentation of the disease. This risk score was validated in international ARVC registry patients. Conclusion: A risk score consisting of a filtered QRS duration ≥117 ms, presence of NSVT on 24 h-ECG and absence of negative T waves in lead aVR was able to predict arrhythmic events at first presentation of the disease. Highlights: A risk score for ARVC utilizing ECG, signal averaged ECG and 24 h-ECG was developed. The risk score predicts the arrhythmic risk at the initial investigation. A risk score of 0 points virtually excludes an arrhythmic risk. A higher score indicates a higher arrhythmic risk. The risk score has been validated in an international cohort.