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Recruiting NCT05127720

Pacemaker-based Long-term Monitoring of Sleep Apnea

Observational Bradycardia

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
This is an observational study: the protocol does not assign a study treatment.
Who it may be relevant to
Registry conditions: Bradycardia. Basic parameters: from 18 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Austria
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Official title

Schrittmacher-basiertes Schlafapnoe Langzeit-Monitoring

Overview

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.

Detailed description

All forms of arrhythmias, sleep apnea during sleeping hours and physical activity using sensors in modern implanted pacemakers as well as autonomic imbalance measures will be correlated with the incidence and progression (within 5 years of follow-up) of common co-morbidities such as arterial hypertension, coronary artery disease, heart failure, COPD, peripheral artery disease, iron insufficiency. In a long follow up perspective major adverse cardiovascular events will be recorded and new risk scores will be developed, incorporating machine learning techniques.

Primary outcome measures

  • 3P-MACE [Time frame: time to first event, follow up for 120 months]
  • device-detected atrial fibrillation [Time frame: time to first event, follow up for 120 months]
  • device-detected atrial fibrillation [Time frame: after 1, 3, 5 years]
  • device-detected sleep apnea [Time frame: after 1, 3, 5 years]
  • device-detected sleep apnea [Time frame: after 1, 3, 5 years]
Secondary outcome measures (5)
  • incidence of common opthalmological disease [Time frame: assessed within the first year after study enrollment]
  • Deterioration of lung function [Time frame: after 5 years]
  • Progression of subclinical peripheral artery disease [Time frame: after 5 years]
  • Progression of subclinical peripheral artery disease [Time frame: after 5 years]
  • QoL assessment [Time frame: after 5 years]

Eligibility criteria

Inclusion criteria

  • implanted Microport TEO SR/DR or BOREA SR/DR or ALIZEA SR/DR pacemaker device
  • signed informed consent

Exclusion criteria

  • any contraindication to perform a cardiac CT examination
  • eGFR < 30 ml/min/1.73 m2
  • allergy against CT contrast medium
  • hyperthyreoism
  • inability of the patient to understand the study purpose and plan
  • inability of the patient to perform baseline examinations
  • pregnancy or breast-feeding; women with childbearing potential
  • estimated life expectancy below one year

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: No

Study design

Observational model
Cohort

Study locations

Austria · 1 center
  • Medical University Innsbruck — Innsbruck

Publications

  • Gottlieb DJ, Yenokyan G, Newman AB, O'Connor GT, Punjabi NM, Quan SF, Redline S, Resnick HE, Tong EK, Diener-West M, Shahar E. Prospective study of obstructive sleep apnea and incident coronary heart disease and heart failure: the sleep heart health study. Circulation. 2010 Jul 27;122(4):352-60. doi: 10.1161/CIRCULATIONAHA.109.901801. Epub 2010 Jul 12. PMID 20625114
  • Luyster FS, Kip KE, Aiyer AN, Reis SE, Strollo PJ Jr. Relation of obstructive sleep apnea to coronary artery calcium in non-obese versus obese men and women aged 45-75 years. Am J Cardiol. 2014 Dec 1;114(11):1690-4. doi: 10.1016/j.amjcard.2014.08.040. Epub 2014 Sep 16. PMID 25307200
  • Hla KM, Young T, Hagen EW, Stein JH, Finn LA, Nieto FJ, Peppard PE. Coronary heart disease incidence in sleep disordered breathing: the Wisconsin Sleep Cohort Study. Sleep. 2015 May 1;38(5):677-84. doi: 10.5665/sleep.4654. PMID 25515104
  • Defaye P, de la Cruz I, Marti-Almor J, Villuendas R, Bru P, Senechal J, Tamisier R, Pepin JL. A pacemaker transthoracic impedance sensor with an advanced algorithm to identify severe sleep apnea: the DREAM European study. Heart Rhythm. 2014 May;11(5):842-8. doi: 10.1016/j.hrthm.2014.02.011. Epub 2014 Feb 19. PMID 24561163
  • Marti-Almor J, Marques P, Jesel L, Garcia R, Di Girolamo E, Locati F, Defaye P, Venables P, Dompnier A, Barcelo A, Nagele H, Burri H. Incidence of sleep apnea and association with atrial fibrillation in an unselected pacemaker population: Results of the observational RESPIRE study. Heart Rhythm. 2020 Feb;17(2):195-202. doi: 10.1016/j.hrthm.2019.09.001. Epub 2019 Sep 4. PMID 31493591
  • Moubarak G, Bouzeman A, de Geyer d'Orth T, Bouleti C, Beuzelin C, Cazeau S. Variability in obstructive sleep apnea: Analysis of pacemaker-detected respiratory disturbances. Heart Rhythm. 2017 Mar;14(3):359-364. doi: 10.1016/j.hrthm.2016.11.033. Epub 2016 Nov 23. PMID 27890735
  • Mazza A, Bendini MG, Leggio M, De Cristofaro R, Valsecchi S, Boriani G. Continuous monitoring of sleep-disordered breathing with pacemakers: Indexes for risk stratification of atrial fibrillation and risk of stroke. Clin Cardiol. 2020 Dec;43(12):1609-1615. doi: 10.1002/clc.23489. Epub 2020 Nov 12. PMID 33179808
  • Linz D, Brooks AG, Elliott AD, Nalliah CJ, Hendriks JML, Middeldorp ME, Gallagher C, Mahajan R, Kalman JM, McEvoy RD, Lau DH, Sanders P. Variability of Sleep Apnea Severity and Risk of Atrial Fibrillation: The VARIOSA-AF Study. JACC Clin Electrophysiol. 2019 Jun;5(6):692-701. doi: 10.1016/j.jacep.2019.03.005. Epub 2019 May 1. PMID 31221356

Identifiers

NCT: NCT05127720 · 1322/2020

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗