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Effectiveness of high rate and delayed detection ICD programming by race: A MADIT‐RIT substudy
Author(s) -
Jackson Larry R.,
Thomas Kevin L.,
Polonsky Bronislava,
Zareba Wojciech,
Lahiri Marc,
Saba Samir,
McNitt Scott,
Schuger Claudio,
Daubert James P.,
Moss Arthur J.,
Kutyifa Valentina
Publication year - 2018
Publication title -
journal of cardiovascular electrophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.193
H-Index - 138
eISSN - 1540-8167
pISSN - 1045-3873
DOI - 10.1111/jce.13693
Subject(s) - medicine , cardiology
Data on inappropriate and appropriate ICD therapy, and efficacy of ICD programing strategies by race are limited. Methods In MADIT‐RIT, we evaluated the risk of ICD therapy by race, and the efficacy of high rate cut‐off ventricular tachycardia (VT) zone ≥200 beats per minute (bpm) (Arm B), or 60 seconds delay in VT zone 170–199 bpm (Arm C), compared to 2.5 seconds delay at 170 bpm (Arm A) among black and white patients. Results MADIT‐RIT enrolled 272 (20%) black and 1119 (80%) white patients. The risk of inappropriate therapy was similar among blacks and whites, HR 1.25, 95% CI (0.82–1.93), P = 0.30. High rate cut‐off or delayed VT therapy was associated with significant reductions in inappropriate therapy among whites, Arm B versus Arm A, HR 0.15, 95% CI (0.08–0.29), P < 0.0001, Arm C versus Arm A, HR 0.19, 95% CI (0.11–0.33), P < 0.001, and black individuals Arm B versus Arm A, HR 0.24, 95% CI (0.01–0.56), P = 0.0001, Arm C versus Arm A, HR 0.30, 95% CI (0.13–0.68), P = 0.004, P interaction > 0.10). However, delayed VT therapy was associated with a trend toward greater reduction in appropriate therapy in black individuals, HR 0.08, 95% CI (0.03–0.27), P < 0.0001 relative to white individuals, HR 0.27, 95% CI (0.16–0.43), P < 0.0001, P interaction = 0.077. Conclusion In MADIT‐RIT, high rate and delayed detection ICD programming provided similar benefit with reductions in both inappropriate therapy and unnecessary appropriate therapy among black and white individuals. Clinicaltrials.gov identifier NCT00947310