Performance of the 2015 International Task Force Consensus Statement Risk Stratification Algorithm for Implantable

Gabriela M Orgeron1, Anneline Te Riele1, Crystal Tichnell1

  • 1From the Department of Medicine, Division of Cardiology (G.M.O., C.T., W.W., B.M., A.B., D.P.J., H.T., H.C., C.A.J.) and Department of Radiology (I.R.K., S.L.Z.), Johns Hopkins Hospital, Baltimore, MD; and Department of Heart and Lungs, Division of Cardiology, University Medical Center Utrecht, and Netherlands Heart Institute (A.t.R.).

Insights

The 2015 algorithm for implantable cardioverter-defibrillator placement in arrhythmogenic right ventricular dysplasia/cardiomyopathy (ARVC/HCM) needs refinement. It underestimated VT/VF risk and failed to differentiate risk between Class I and IIa indications.

Area of Science:

  • Cardiology
  • Electrophysiology
  • Genetics

Background:

  • Ventricular arrhythmias are a significant complication of arrhythmogenic right ventricular dysplasia/cardiomyopathy (ARVC/HCM).
  • A 2015 International Task Force Consensus Statement introduced a risk stratification algorithm for implantable cardioverter-defibrillator (ICD) placement in ARVC/HCM patients.

Purpose of the Study:

  • To evaluate the performance of the 2015 ARVC/HCM risk stratification algorithm.
  • To assess its accuracy in predicting ventricular arrhythmias (VT/VF) and ventricular fibrillation/flutter (VF).

Main Methods:

  • 365 ARVC/HCM patients were classified using the algorithm's indications (Class I, IIa, IIb, III).
  • Primary outcome was survival free from sustained VT/VF; secondary outcome was incidence of VF/flutter (cycle length <240 ms).
  • Follow-up duration was a median of 4.2 years.

Main Results:

  • The algorithm underestimated VT/VF incidence compared to expected rates.
  • It failed to differentiate VF/flutter risk between Class I and IIa indications (P=0.97).
  • VT/VF risk differentiation was also limited for primary prevention in Class I vs. IIa patients (P=0.22).

Conclusions:

  • The algorithm shows overall risk differentiation but lacks precision for specific patient groups.
  • Refinements are needed, particularly for distinguishing risk between Class I and IIa indications.
  • Incorporating Holter monitor results may improve risk stratification accuracy.
Abstract

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