Arrhythmic risk prediction in arrhythmogenic right ventricular cardiomyopathy: external validation of the arrhythmogenic right ventricular cardiomyopathy risk calculator
- PMID: 35766180
- PMCID: PMC9392650
- DOI: 10.1093/eurheartj/ehac289
Arrhythmic risk prediction in arrhythmogenic right ventricular cardiomyopathy: external validation of the arrhythmogenic right ventricular cardiomyopathy risk calculator
Abstract
Aims: Arrhythmogenic right ventricular cardiomyopathy (ARVC) causes ventricular arrhythmias (VAs) and sudden cardiac death (SCD). In 2019, a risk prediction model that estimates the 5-year risk of incident VAs in ARVC was developed (ARVCrisk.com). This study aimed to externally validate this prediction model in a large international multicentre cohort and to compare its performance with the risk factor approach recommended for implantable cardioverter-defibrillator (ICD) use by published guidelines and expert consensus.
Methods and results: In a retrospective cohort of 429 individuals from 29 centres in North America and Europe, 103 (24%) experienced sustained VA during a median follow-up of 5.02 (2.05-7.90) years following diagnosis of ARVC. External validation yielded good discrimination [C-index of 0.70 (95% confidence interval-CI 0.65-0.75)] and calibration slope of 1.01 (95% CI 0.99-1.03). Compared with the three published consensus-based decision algorithms for ICD use in ARVC (Heart Rhythm Society consensus on arrhythmogenic cardiomyopathy, International Task Force consensus statement on the treatment of ARVC, and American Heart Association guidelines for VA and SCD), the risk calculator performed better with a superior net clinical benefit below risk threshold of 35%.
Conclusion: Using a large independent cohort of patients, this study shows that the ARVC risk model provides good prognostic information and outperforms other published decision algorithms for ICD use. These findings support the use of the model to facilitate shared decision making regarding ICD implantation in the primary prevention of SCD in ARVC.
Keywords: Arrhythmogenic right ventricular cardiomyopathy; Genetic cardiomyopathies; Implantable cardioverter-defibrillator; Risk stratification; Sudden cardiac death; Ventricular arrhythmias.
© The Author(s) 2022. Published by Oxford University Press on behalf of European Society of Cardiology.
Conflict of interest statement
Conflicts of interest: C.M.: honoraria from Abbott, I.O.: grants, consulting fees or honoraria from BSM, Cytokinetics, Shire, Genzyme, Amicus, Menarini International, Boston Scientific, and Tenaya, S.A.L.: grants from BMS/Pfizer, Boehringer Ingelheim, fitbit, IBM, and consulting fees from BMS/Pfizer, Invitae, and Blackstone, J.S.H.: research grants from Boston Scientific, Abbott, and Medtronic and is on Scientific Advisory Board for Boston Scientific, H.K.J.: grant from Novo Nordisk foundation and honoraria from Abbott and Biosense Webster, H.C.: consultant for Medtronic Inc., Biosense Webster, Pfizer, and Abbott. He receives research support from Boston Scientific Corp. C.A.J. receives salary support from this grant and consulting fees from Pfizer, J. C.-T. consulting fees from BMS/Pfizer and Bayer.
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Comment in
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Arrhythmogenic right ventricular cardiomyopathy: the never-ending quest for a risk calculator.Eur Heart J. 2022 Aug 21;43(32):3068-3070. doi: 10.1093/eurheartj/ehac324. Eur Heart J. 2022. PMID: 35766173 No abstract available.
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