Adaptive servo-ventilation reduces atrial fibrillation burden in patients with heart failure and sleep apnea.

Abstract:

BACKGROUND:Patients with heart failure and sleep apnea are at increased risk for developing arrhythmias. Whether treatment of sleep apnea reduces arrhythmias is unknown. OBJECTIVE:The purpose of this study was to determine whether adaptive servo-ventilation (ASV) with optimal medical therapy (OMT) reduces atrial fibrillation (AF) and/or ventricular tachycardia/ventricular fibrillation (VT/VF) burden compared to OMT alone. METHODS:We conducted a prospective substudy of patients with pacemakers/defibrillators in the Cardiovascular Improvements with Minute Ventilation-Targeted ASV Therapy in Heart Failure (CAT-HF) trial. Change in arrhythmia burden was compared using a mixed model analysis to account for multiple measurements per patient. RESULTS:Among 35 randomized patients eligible and analyzed (19 ASV, 16 OMT only) in the AF cohort, mean age was 64 ± 12 years, 23% were women (n = 8), 49% had previous AF (n = 17), 89% had reduced ejection fraction (n = 31), and mean apnea hypopnea index was 41 ± 17 events per hour. Baseline characteristics were similar between groups. Change in AF burden from baseline to follow-up was -15.8% ± 36.5% with ASV vs +23.7% ± 36.2% with OMT (P = .034). There was no significant change in the AF cohort in the mean number of VT/VF events: +3.3 ± 14.9 events with ASV vs -0.3 ± 7.3 events with OMT (P = .58). Five subjects had appropriate therapies for VT/VF in the ASV arm vs 6 subjects in the OMT arm. CONCLUSION:This study provides proof of concept that treatment of sleep apnea with ASV leads to reduction in AF burden compared with OMT alone, without an increase in VT/VF events. This hypothesis should be tested in a large outcomes trial.

journal_name

Heart Rhythm

journal_title

Heart rhythm

authors

Piccini JP,Pokorney SD,Anstrom KJ,Oldenburg O,Punjabi NM,Fiuzat M,Tasissa G,Whellan DJ,Lindenfeld J,Benjafield A,Woehrle H,Blase A,O'Connor CM

doi

10.1016/j.hrthm.2018.07.027

subject

Has Abstract

pub_date

2019-01-01 00:00:00

pages

91-97

issue

1

eissn

1547-5271

issn

1556-3871

pii

S1547-5271(18)30719-7

journal_volume

16

pub_type

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