Programmed ventricular stimulation in patients with active vs previous arrhythmic myocarditis

Giovanni Peretto1, Simone Sala1, Cristina Basso2

  • 1Department of Cardiac Electrophysiology and Arrhythmology, IRCCS San Raffaele Hospital and Vita-Salute University, Milan, Italy.

Insights

Programmed ventricular stimulation (PVS) helps stratify arrhythmic risk in nonactive myocarditis patients. However, risk stratification remains complex for active myocarditis patients with ventricular arrhythmias.

Area of Science:

  • Cardiology
  • Electrophysiology
  • Myocardial Diseases

Background:

  • Myocarditis poses a significant risk for ventricular arrhythmias (VA).
  • Programmed ventricular stimulation (PVS) is a diagnostic tool, but its role in myocarditis risk stratification is not well-established.
  • Current risk stratification for myocarditis patients with VA is complex and multifactorial.

Purpose of the Study:

  • To investigate the role of PVS in assessing arrhythmic risk in adult patients with myocarditis and VA.
  • To compare the effectiveness of PVS in active versus nonactive myocarditis.
  • To identify independent predictors of major VA in myocarditis patients.

Main Methods:

  • A single-center prospective study included 96 adult patients hospitalized with myocarditis and VA.
  • Patients were categorized into active (A) and nonactive (NA) myocarditis based on endomyocardial biopsy and cardiac MRI.
  • All patients underwent PVS; malignant VA episodes were assessed during follow-up (54 months).

Main Results:

  • PVS positivity was associated with future malignant VA (MVA) primarily in the nonactive myocarditis group (negative predictive value 90.0%).
  • In active myocarditis, PVS showed minimal predictive value for MVA (positive predictive value 43.8%).
  • Independent predictors of major VA included arrhythmic onset, fibrosis on biopsy, and positive PVS.

Conclusions:

  • PVS is a valuable tool for ruling out future MVA in nonactive myocarditis patients.
  • PVS has limited utility in predicting MVA in active myocarditis patients.
  • Comprehensive risk stratification incorporating clinical, imaging, and electrophysiological data is crucial for managing VA in myocarditis.
Abstract

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