Impact of Resynchronization Therapy on Sleep Disordered Breathing in Advanced Congestive Heart Failure

Brief summary

Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.

Background and Introduction: SDB is increasingly recognized as a co-morbidity with significant impact on overall health. The disorder has been implicated in the development of hypertension, atherosclerotic cardiovascular disease as well as arrhythmia, stroke and the progression of congestive heart failure. The disorder is prevalent among males, estimated to affect upto 24% of the general population. Its prevalence increases with age, and it is particularly prevalent among patients with congestive heart failure with the prevalence rising to 51% in that group. Interestingly, recent evidence points to a potential impact for treating sleep disordered breathing, on heart failure patients. At the same time, recent reports of a beneficial impact of atrial overdrive pacing on SDB, have stirred interest in a potentially effective and well tolerated non-pharmacologic means of therapy for this disorder. Particularly at a time when cardiac resynchronization therapy utilizing biventricular pacing has demonstrated significant impact on heart failure, the interplay between CHF and SDB pacemaker based therapy begs further exploration. The interdependence of potential positive impact on each entity needs to be elucidated for further research and refinement of therapeutic tools. Furthermore, this study aims to explore potential neurohormonal influence on and affection by each of these disorders. Specific Aims and Hypotheses: Specific Aim #1: To assess the effect of cardiac resynchronization therapy (CRT) with or without atrial pacing on SDB in patients with advanced CHF at 8 and 16 weeks after implementation of therapy. Hypothesis #1: Resynchronization therapy improves SDB, the effect may anticipate or lag improvement in heart failure. Atrial pacing has a beneficial effect in addition to CRT. Specific Aim #2: To explore the effect of CRT on cardiac neuro-hormonal activity in relation to its effects on CHF and SDB. Hypothesis #2: CRT neuro-hormonal modulation is a common path in its effects on SDB and CHF. Specific Aim #3: To assess prevalence of sleep disordered breathing (SDB) in patients with advanced congestive heart failure (CHF). Hypothesis #3: SDB is prevalent yet under recognized in this patient population. Research Design: This is an observational study with a built in double blinded prospective randomized interventional substudy of a potential confounder i.e. atrial pacing. All patients will receive CRT with defibrillator for clinical indications (CRT-D). Investigators other than the EP physicians as well as patients will be blinded to the pacing mode. After screening and a run in period of back up pacing a baseline polysomnogram (PSG) will be performed. Patients will be randomized between atrial overdrive or atrial tracking pacing modes for six months, all patients receiving CRT. Sleep studies will be performed at baseline and at three month intervals. Subjects: Patients referred for implantation of CRT -D will be recruited for this trial. Patients are included only if they are indicated for such a device on clinical grounds. Outcome Measures: 1.Sleep quality related Parameters:The following will be collected at times of each PSG: MAP-PSQI, PSG parameters of sleep quality and architecture, apnea hypopnea index, and oxygen saturation as well as biochemical markers of sleep efficiency. 2.Heart Failure Parameters: The following will be obtained at times of each PSG: Minnesota Living with Heart Failure Questionnaire, Clinical and echocardiographic measures of heart failure progression and biochemical markers of heart failure severity. Power Analysis: An improvement in SDB in both initial randomization arms is assumed, however we further assume the atrial overdrive arm will offer improvement over the atrial tracking arm of equal magnitude. An arbitrary estimate would be twenty percent improvement in atrial overdrive arm. The corresponding estimate is 40% improvement due to CRT. To achieve 0.80 power thirty four data sets need to be collected.

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Last update posted Sep 17, 2012 · Synced Sep 17, 2026

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