Does the Implantable Cardioverter-Defibrillator Benefit Vary With the Estimated Proportional Risk of Sudden Death in Heart Failure Patients?
Publication/Presentation Date
3-1-2017
Abstract
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.
Volume
3
Issue
3
First Page
291
Last Page
298
ISSN
2405-500X
Published In/Presented At
Levy, W. C., Li, Y., Reed, S. D., Zile, M. R., Shadman, R., Dardas, T., Whellan, D. J., Schulman, K. A., Ellis, S. J., Neilson, M., O'Connor, C. M., & HFACTION Investigators (2017). Does the Implantable Cardioverter-Defibrillator Benefit Vary With the Estimated Proportional Risk of Sudden Death in Heart Failure Patients?. JACC. Clinical electrophysiology, 3(3), 291–298. https://doi.org/10.1016/j.jacep.2016.09.006
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
28553663
Department(s)
Administration and Leadership
Document Type
Article