BACKGROUND: Atrial fibrillation (AF) contributes to increased risk of morbidity and mortality. Data regarding the effectiveness of implantable cardioverter-defibrillator (ICD) therapy in AF patients are limited. OBJECTIVES: The purpose of this study was to evaluate the effectiveness of ICD therapy in patients with AF enrolled in the Multicenter Automatic Defibrillator Implantation Trial II (MADIT II) and to identify their risk for the combined endpoint of hospitalization for congestive heart failure or death. METHODS: The MADIT II cohort served as the source for data on the clinical course, cardiac events, and effectiveness of ICD therapy in AF patients. RESULTS: AF was found as baseline rhythm at enrollment in 102 (8%) MADIT II patients. In comparison to 1,007 patients in sinus rhythm, AF patients were older, more frequently were males, had wider QRS complex, and had higher blood urea nitrogen and creatinine levels (P <.05 for all parameters). ICD therapy was effective in reducing 2-year mortality in AF patients from 39% in 41 conventionally treated patients to 22% in 61 ICD-treated patients (hazard ratio = 0.51, P = .079). However, the combined endpoint of hospitalization for heart failure or death at 2 years was 69% and 59%, respectively (NS). AF was predictive for the combined endpoint of heart failure hospitalization or death (hazard ratio = 1.68, P = .040). New-onset AF in patients with baseline sinus rhythm was associated with increased risk of mortality (hazard ratio = 2.70, P <.001). CONCLUSION: MADIT II patients with AF benefit from ICD therapy, which reduces their mortality. MADIT II patients with AF are at high risk for developing heart failure.
BACKGROUND:Atrial fibrillation (AF) contributes to increased risk of morbidity and mortality. Data regarding the effectiveness of implantable cardioverter-defibrillator (ICD) therapy in AFpatients are limited. OBJECTIVES: The purpose of this study was to evaluate the effectiveness of ICD therapy in patients with AF enrolled in the Multicenter Automatic Defibrillator Implantation Trial II (MADIT II) and to identify their risk for the combined endpoint of hospitalization for congestive heart failure or death. METHODS: The MADIT II cohort served as the source for data on the clinical course, cardiac events, and effectiveness of ICD therapy in AFpatients. RESULTS:AF was found as baseline rhythm at enrollment in 102 (8%) MADIT II patients. In comparison to 1,007 patients in sinus rhythm, AFpatients were older, more frequently were males, had wider QRS complex, and had higher blood ureanitrogen and creatinine levels (P <.05 for all parameters). ICD therapy was effective in reducing 2-year mortality in AFpatients from 39% in 41 conventionally treated patients to 22% in 61 ICD-treated patients (hazard ratio = 0.51, P = .079). However, the combined endpoint of hospitalization for heart failure or death at 2 years was 69% and 59%, respectively (NS). AF was predictive for the combined endpoint of heart failure hospitalization or death (hazard ratio = 1.68, P = .040). New-onset AF in patients with baseline sinus rhythm was associated with increased risk of mortality (hazard ratio = 2.70, P <.001). CONCLUSION: MADIT II patients with AF benefit from ICD therapy, which reduces their mortality. MADIT II patients with AF are at high risk for developing heart failure.
Authors: Ravi B Patel; Muthiah Vaduganathan; Aruna Rikhi; Hrishikesh Chakraborty; Stephen J Greene; Adrian F Hernandez; G Michael Felker; Margaret M Redfield; Javed Butler; Sanjiv J Shah Journal: JACC Heart Fail Date: 2018-11-05 Impact factor: 12.035
Authors: Fredrik Holmqvist; Pyotr G Platonov; Scott McNitt; Slava Polonsky; Jonas Carlson; Wojciech Zareba; Arthur J Moss Journal: Ann Noninvasive Electrocardiol Date: 2010-01 Impact factor: 1.468
Authors: Liang-Han Ling; Peter M Kistler; Jonathan M Kalman; Richard J Schilling; Ross J Hunter Journal: Nat Rev Cardiol Date: 2015-12-10 Impact factor: 32.419
Authors: Shaun Giancaterino; Marin Nishimura; Ulrika Birgersdotter-Green; Kurt S Hoffmayer; Frederick T Han; Farshad Raissi; Gordon Ho; David Krummen; Gregory K Feld; Jonathan C Hsu Journal: Pacing Clin Electrophysiol Date: 2020-05-02 Impact factor: 1.976