Does the Implantable Cardioverter-Defibrillator Benefit Vary With the Estimated Proportional Risk of Sudden Death in Heart Failure Patients?

Journal Article (Clinical Trial;Journal Article)

BACKGROUND: Prediction of which heart failure patients are most likely to die of sudden death vs. non-sudden death is an important factor in determining who will benefit the most from an ICD. OBJECTIVE: We developed the Seattle Proportional Risk Model (SPRM) to estimate the proportion of total mortality due to sudden death. We prospectively validated the model in HF-ACTION and tested whether the ICD benefit varied with the SPRM. METHODS: Among 2331 patients enrolled, 1947 patients were retained for analysis over a median follow-up of 2.5 years. The SPRM was calculated using age, gender, diabetes, BMI, SBP, EF, NYHA, sodium, creatinine, and digoxin use. RESULTS: ICD use (ICD or CRT-D) was present prior to death in 1204 patients (62%). SPRM was predictive of sudden death vs. non-sudden death in those without an ICD (P=0.002). The hazard ratio representing ICD versus no ICD was 0.63 for all-cause mortality (P=0.0002). The ICD benefit varied with the SPRM for all-cause mortality (P=0.001), with a greater benefit in those with a higher conditional probability of sudden death. CONCLUSIONS: In an ambulatory NYHA II-IV HF population and EF ≤35%, the SPRM was predictive of the proportional risk of sudden vs. non-sudden death. ICDs were associated with a decreased risk of all-cause mortality by 37% and the ICD benefit varied with the SPRM. The SPRM may have utility in risk stratifying patients for a primary prevention ICD.

Full Text

Duke Authors

Cited Authors

  • Levy, WC; Li, Y; Reed, SD; Zile, MR; Shadman, R; Dardas, T; Whellan, DJ; Schulman, KA; Ellis, SJ; Neilson, M; O'Connor, CM; HFACTION Investigators,

Published Date

  • March 2017

Published In

Volume / Issue

  • 3 / 3

Start / End Page

  • 291 - 298

PubMed ID

  • 28553663

Pubmed Central ID

  • PMC5441395

International Standard Serial Number (ISSN)

  • 2405-500X

Digital Object Identifier (DOI)

  • 10.1016/j.jacep.2016.09.006


  • eng

Conference Location

  • United States