Implantable cardioverter-defibrillator in cardiac sarcoidosis: A propensity-score matched analysis

Gabriel Yeap1, Hritvik Jain2, Nandan Patel2

  • 1Newcastle University Medical School, United Kingdom.

Insights

Implantable cardioverter-defibrillators (ICDs) in cardiac sarcoidosis (CS) reduced mortality and transplantation but increased heart failure and arrhythmias. Real-world data shows mixed outcomes, requiring cautious interpretation due to potential biases.

Area of Science:

  • Cardiology
  • Electrophysiology
  • Sarcoidosis Research

Background:

  • Cardiac sarcoidosis (CS) poses a risk of sudden cardiac death.
  • Implantable cardioverter-defibrillators (ICDs) are utilized for prevention, but real-world effectiveness is debated.
  • Treatment-selection bias can influence observed outcomes in CS patients.

Purpose of the Study:

  • To evaluate the real-world effectiveness of ICDs in patients with cardiac sarcoidosis.
  • To assess the impact of ICD implantation on mortality, cardiac events, and healthcare utilization.
  • To address uncertainties regarding ICD efficacy in CS, considering potential biases.

Main Methods:

  • Retrospective cohort study using the TriNetX Global Collaborative Network.
  • Propensity-score matching (1:1) balanced 4,554 adult CS patients (2,277 per cohort).
  • Primary composite endpoint: all-cause mortality, heart failure exacerbation, cardiac transplantation, ventricular arrhythmia.

Main Results:

  • ICD use was linked to reduced all-cause mortality (RR 0.83) and cardiac transplantation (RR 0.66).
  • Higher risks observed for heart failure exacerbation (RR 1.06) and ventricular arrhythmia (RR 1.70) in ICD recipients.
  • ICD recipients showed increased heart failure diagnoses (RR 1.11) and rehospitalisations (RR 1.18).

Conclusions:

  • ICD implantation in cardiac sarcoidosis is associated with decreased mortality and transplantation rates.
  • Findings suggest increased morbidity and healthcare utilization alongside survival benefits.
  • Results must be interpreted cautiously due to potential selection bias and differential surveillance in real-world data.
Abstract

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