Pacemaker-based Long-term Monitoring of Sleep Apnea

This is a prospective, non-interventional cohort study. It tests the hypothesis that * Pacemaker-derived monitoring of sleep-related breathing disorders and/or daily physical activity predicts clinical outcome. * Autonomic imbalance defined by an increased periodic repolarisation dynamics (PRD) predicts clinical outcome in pacemaker patients. * Autonomic imbalance defined by an increased periodic repolarisation dynamics (PRD) predicts the occurrence of device-detected atrial fibrillation and/or device-detected sleep apnea. * Enviromental factors such as ambient temperature, humidity, precipitation, air pressure impacts device-detected atrial fibrillation and/or device-detected sleep apnea. * Variation of night-to-night device-detected sleep apnea shows sex-specific patterns and impacts device-detected atrial fibrillation burden, ventricular pacing rate in sick sinus syndrome and clinical outcomes. * Burden / variation of device-detected sleep apnea and/or device-detected atrial fibrillation correlates with the incidence and severity of common ophthalmologic diseases.