Predictors of appropriate ICD therapy in patients with implantable cardioverter-defibrillator

Mohammad Reza Dehghani1, Arash Arya, Majid Haghjoo

  • 1Department of Pacemaker and Electrophysiology, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Mellat Park, Vali-e-Asr Avenue, Tehran 1996911151, Iran.

Insights

Male gender, dilated cardiomyopathy, and prolonged QRS width predict appropriate implantable cardioverter defibrillator (ICD) therapy. QRS width can help identify patients who will benefit most from ICD implantation.

Area of Science:

  • Cardiology
  • Electrophysiology
  • Medical Devices

Background:

  • Identifying appropriate candidates for implantable cardioverter defibrillator (ICD) implantation is crucial for effective therapy.
  • Predictors of appropriate ICD therapy can refine patient selection for primary and secondary prevention.

Purpose of the Study:

  • To identify predictors of appropriate implantable cardioverter defibrillator (ICD) therapy.
  • To evaluate the role of QRS width as a risk stratifier for ICD recipients.

Main Methods:

  • Retrospective analysis of 162 patients with ICDs (coronary artery disease [CAD] and dilated cardiomyopathy [DCM]).
  • Collected clinical, electrocardiographic, and device data.
  • Binary logistic regression analysis to determine predictors of appropriate ICD therapy (AICDT).

Main Results:

  • 33% of patients received appropriate ICD therapy (AICDT) during follow-up.
  • Male gender, DCM, and QRS width > 100 ms were significant predictors of AICDT.
  • QRS duration > 100 ms predicted AICDT in both CAD and DCM subgroups.

Conclusions:

  • QRS width is a simple, additional risk stratifier for identifying patients who will benefit from ICD implantation.
  • Patient selection for ICDs may be improved, particularly in resource-limited settings.
  • The indication for ICD implantation (primary vs. secondary prevention) did not influence AICDT probability.
Abstract

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