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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 d
SUBMITTER: Levy WC
PROVIDER: S-EPMC5441395 | biostudies-literature | 2017 Mar
REPOSITORIES: biostudies-literature