Skip to content

Pacemaker-based Long-term Monitoring of Sleep Apnea

Schrittmacher-basiertes Schlafapnoe Langzeit-Monitoring

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05127720
Acronym
ACaSA
Enrollment
1000
Registered
2021-11-19
Start date
2021-11-30
Completion date
2041-12-31
Last updated
2026-02-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Bradycardia

Brief summary

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.

Interventions

None listed

Sponsors

Medical University Innsbruck
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frameDescription
3P-MACEtime to first event, follow up for 120 monthsdeath, myocardial infarction and/or stroke
device-detected atrial fibrillationtime to first event, follow up for 120 monthsfirst episode lasting more than 6 minutes or 24 hours
device-detected sleep apneaafter 1, 3, 5 yearsseverity (RDI \< versus \> 20/h)

Secondary

MeasureTime frameDescription
incidence of common opthalmological diseaseassessed within the first year after study enrollmentin correlation to device-detected sleep apnea and device-detected atrial fibrillation
Deterioration of lung functionafter 5 yearsconventional lung function testing
Progression of subclinical peripheral artery diseaseafter 5 yearssonography
QoL assessmentafter 5 yearsEQ-5D-5L

Countries

Austria

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Apr 18, 2026