Joint Shock/Death Risk Prediction Model for Patients Considering Implantable Cardioverter-Defibrillators.

ABSTRACT:

Background

The risk of death or appropriate therapy varies widely among recipients of implantable cardioverter-defibrillators (ICDs). The goals of this study were to develop a risk prediction tool that jointly considers future outcome probabilities of ICD shock and death.

Methods and results

We performed a secondary analysis of patients receiving ICDs as part of the SCD-HeFT trial (Sudden Cardiac Death in Heart Failure Trial). We applied an illness-death regression model to jointly model both ICD shocks and death under the semi-competing risks framework, which predicts for each patient their probability of having received ICD shocks, dying, or both at any given point in time. Among 803 ICD recipients (mean age, 60 years; 23% women) followed for a median of 41.1 months, 430 (

SUBMITTER: Reeder HT 

PROVIDER: S-EPMC6697057 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature