Improving the Use of Primary Prevention Implantable Cardioverter-Defibrillators Therapy With Validated Patient-Centric Risk Estimates

被引:16
作者
Levy, Wayne C. [1 ]
Hellkamp, Anne S. [2 ]
Mark, Daniel B. [3 ]
Poole, Jeanne E. [1 ]
Shadman, Ramin [4 ]
Dardas, Todd F. [1 ]
Anderson, Jill [5 ]
Johnson, George [5 ]
Fishbein, Daniel P. [1 ]
Lee, Kerry L. [2 ]
Linker, David T. [1 ]
Bardy, Gust H. [1 ,5 ]
机构
[1] Univ Washington, Sch Med, Dept Med, Div Cardiol, Seattle, WA 98177 USA
[2] Duke Univ, Duke Clin Res Inst, Dept Biostat, Durham, NC USA
[3] Duke Univ, Med Ctr, Div Cardiol, Durham, NC 27710 USA
[4] Southern Calif Permanente Med Grp, Div Cardiol, Dept Med, Los Angeles, CA USA
[5] Seattle Inst Cardiac Res, Seattle, WA USA
基金
美国国家卫生研究院;
关键词
heart failure; ICD; non-sudden death; prognosis; proportional risk; regression analysis; risk prediction model; sudden death;
D O I
10.1016/j.jacep.2018.04.015
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
OBJECTIVES The authors previously developed the Seattle Proportional Risk Model (SPRM) in systolic heart failure patients without implantable cardioverter-defibrillators (ICDs)to predict the proportion of deaths that were sudden. They subsequently validated the SPRM in 2 observational ICD data sets. The objectives in the present study were to determine whether this validated model could improve identification of clinically important variations in the expected magnitude of ICD survival benefit by using a pivotal randomized trial of primary prevention ICD therapy. BACKGROUND Recent data show that <50% of nominally eligible subjects receive guideline-recommended primary prevention ICDs. METHODS In the SCD-HeFT (Sudden Cardiac Death in Heart Failure Trial), a placebo-controlled ICD trial in 2,521 patients with an ejection fraction <= 35% and symptomatic heart failure, we tested the use of patient-level SPRM-predicted probability of sudden death (relative to that of non-sudden death) as a summary measurement of the potential for ICD benefit. A Cox proportional hazards model was used to estimate variations in the relationship between patient-level SPRM predictions and ICD benefit. RESULTS Relative to use of mortality predictions with the Seattle Heart Failure Model, the SPRM was much better at partitioning treatment benefit from ICD therapy (effect size was 2- to 3.6-fold larger for the ICDxSPRM interaction). ICD benefit varied significantly across SPRM-predicted risk quartiles: for all-cause mortality, a +10% increase with ICD therapy in the first quartile (highest risk of death, lowest proportion of sudden death) to a decrease of 66% in the fourth quartile (lowest risk of death, highest proportion of sudden death; p = 0.0013); for sudden death mortality, a 19% reduction in SPRM quartile 1 to 95% reduction in SPRM quartile 4 (p < 0.0001). CONCLUSIONS In symptomatic systolic heart failure patients with a Class I recommendation for primary prevention ICD therapy, the SPRM offers a useful patient-centric tool for guiding shared decision making. (C) 2018 by the American College of Cardiology Foundation.
引用
收藏
页码:1089 / 1102
页数:14
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