Abstract 4360720: MADIT-ICD Benefit Score – Assessing Utility in SCD-HeFT
Abstract
Background: The MADIT-ICD Benefit Score (MIBS) predicts ICD VT/VF shocks vs. non-arrhythmic death and divides patients into three predicted ICD benefit groups. Objective: The actual utility of the MIBS in primary prevention ICDs clinical trial with a control has not been evaluated. Methods: MIBS continuous score and categories (lowest, intermediate and highest ICD benefit) were derived for patients in SCD-HeFT in ICD and control arms. VT/VF therapy (Shock) vs. non-arrhythmic death (NAD) was compared across risk categories. The observed ICD hazard ratio for all-cause mortality was calculated for categories. SCD-HeFT ICD programming was 18 of 24 beats with a single rate zone of 188 bpm. Comparison was made with the Seattle Proportional Risk Model (SPRM) quartiles (predicts proportion of sudden vs. non-sudden death). Results: MIBS ranged from 2-91 with mean of 54±18 with lowest (<25), intermediate (25-75), and highest (>75) ICD benefit categories of 17%, 68% and 15%. The first event was a Shock (62%) vs. NAD (38%). The MIBS Category with highest ratio of Shock/NAD was the intermediate group with 2-fold difference due to higher Shock rates. Shock vs. NAD was similar in the lowest and highest ICD benefit groups. SPRM had a 10-fold difference in the Shock/NAD, due 90% lower NAD. The ICD benefit was least in the Intermediate MIBS group (interaction P=0.69) and the lowest quartile of the SPRM (interaction P<0.001). The ICD hazard ratio was similar for MIBS <50 (n=503, 0.72) vs. >50 (n=1173, 0.76) with a nonsignificant interaction p value (0.78). Conclusion: The MADIT-ICD Benefit Score did not validate for VT/VF Shock and Non-arrhythmic death or predict a variable ICD benefit for all-cause mortality in SCD-HeFT. The SPRM had a 10-fold difference in the ratio of Shock/NAD and a significant difference in ICD benefit. Reasons for this difference may be due to different patient populations, therapies (CRT or not), ICD programming, or background medications. Application: MADIT-ICD Benefit Score should be validated in other ICD trials to ascertain the utility of the risk model in predicting ICD benefit.
Article Details
Authors (5)
Wayne Levy
UNIVERSITY WASHINGTON, Seattle, Washington, United States
Jeanne Poole
UNIVERSITY WASHINGTON, Seattle, Washington, United States
Daniel Mark
DUKE UNIV MEDICAL CTR, Chapel Hill, North Carolina, United States
Daniel Fishbein
UNIVERSITY WASHINGTON, Seattle, Washington, United States
Gust Bardy
SEATTLE INST CARDIAC RESEARCH, Seattle, Washington, United States