Predictors of death without prior appropriate therapy in ICD recipients: the comorbidities, frailty and functional

David G Wilson1,2, Archana Sharma-Oates3, James Sheldon4

  • 1Institute of Applied Health Sciences, University of Birmingham, Birmingham, UK david.wilson45@nhs.net.

Open Heart
|October 14, 2024
PubMed

Insights

Comorbidities and frailty predict death in implantable cardioverter-defibrillator (ICD) recipients. These factors, along with functional status, identify patients unlikely to benefit from ICD therapy, guiding personalized treatment decisions.

Area of Science:

  • Cardiology
  • Geriatrics
  • Medical Devices

Background:

  • Most implantable cardioverter-defibrillator (ICD) patients do not receive life-prolonging therapy.
  • Research on identifying patients who benefit least from ICD therapy is limited.
  • Aging and comorbidities increase mortality risk and diminish ICD benefit.

Purpose of the Study:

  • To evaluate the impact of comorbidity, frailty, and functional status on death without prior appropriate ICD therapy.
  • To identify predictors of mortality in ICD recipients who do not receive life-saving therapy.

Main Methods:

  • Prospective, multicentre observational study of 675 patients undergoing ICD or CRT-D implantation.
  • Collected baseline characteristics, including Fried frailty score, EQ-5D-5L functional status, and Charlson Comorbidity Index.
  • Followed patients for 2.5 years, with the primary outcome being death without prior appropriate therapy.

Main Results:

  • 9.5% of patients (63/675) died during follow-up, with 58 dying without appropriate ICD therapy.
  • Frailty was present in 12.7% and severe comorbidity in 10.2% of patients.
  • Multivariate analysis identified frailty, comorbidity, age, eGFR, and EQ-5D-5L as predictors of death without appropriate therapy.

Conclusions:

  • Comorbidities, frailty, and EQ-5D-5L scores are significant independent predictors of death without prior appropriate therapy in ICD/CRT-D recipients.
  • These factors can help identify patients unlikely to benefit from ICD therapy.
  • Findings support personalized risk assessment for ICD/CRT-D implantation.
Abstract

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