Evidence map›Paper›PMID 41730747›Full record

ArticleJournal of sleep research2026

Night-To-Night Variability in Sleep Apnea Is Associated With Persistence and Burden of Device-Detected Atrial Fibrillation.

Philipp Spitaler, Valentin Bilgeri, Patrick Rockenschaub, Fabian Barbieri, Birkan Tugrul, Agne Adukauskaite, Markus Stühlinger, Bernhard Erich Pfeifer, Peter Willeit, Axel Bauer and 1 more

Abstract read
In one paragraph

Article in Journal of sleep research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Philipp SpitalerDepartment of Internal Medicine III, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0002-5908-2923
Valentin BilgeriDepartment of Internal Medicine III, Medical University of Innsbruck, Innsbruck, Austria.
Patrick RockenschaubInstitute of Clinical Epidemiology, Public Health, Health Economics, Medical Statistics and Informatics, Medical University of Innsbruck, Innsbruck, Austria.
Fabian BarbieriDepartment of Cardiology, Angiology and Intensive Care Medicine, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
Birkan TugrulDepartment of Internal Medicine III, Medical University of Innsbruck, Innsbruck, Austria.
Agne AdukauskaiteDepartment of Internal Medicine III, Medical University of Innsbruck, Innsbruck, Austria.
Markus StühlingerDepartment of Internal Medicine III, Medical University of Innsbruck, Innsbruck, Austria.
Bernhard Erich PfeiferLandesinstitut für Integrierte Versorgung Tirol, Tirol Kliniken, Innsbruck, Austria.
Peter WilleitInstitute of Clinical Epidemiology, Public Health, Health Economics, Medical Statistics and Informatics, Medical University of Innsbruck, Innsbruck, Austria.
Axel BauerDepartment of Internal Medicine III, Medical University of Innsbruck, Innsbruck, Austria.
Wolfgang DichtlDepartment of Internal Medicine III, Medical University of Innsbruck, Innsbruck, Austria.

Funding

MicroPort
6 · The paper itself

Abstract

Using pacemaker-derived thoracic impedance monitoring, sleep apnea severity and its night-to-night variability can be continuously tracked in patients with implanted cardiac devices. In the prospective ACaSA study, 171 pacemaker patients without permanent atrial fibrillation at baseline were followed for a median of 539 days. During an initial 28-night run-in period free of atrial fibrillation, baseline night-to-night variability of the respiratory disturbance index (RDI) was quantified as the coefficient of variation. Patients were subsequently monitored for the onset of persistent device-detected atrial fibrillation (DDAF, ≥ 7 days) and cumulative DDAF burden. Median RDI variability was 38.7% (IQR 29.9%-47.6%), and 35 patients (20.5%) had high variability (≥ 50%). Over follow-up, 17 patients (9.9%) developed persistent DDAF. Each 10% increase in RDI variability was associated with a significantly higher risk of persistent DDAF (adjusted HR 1.89, 95% CI 1.26-2.84; p = 0.002). Patients with high variability also carried a greater cumulative DDAF burden compared to those with low variability (9.6% vs. 1.9%, p = 0.016). These results suggest that the dynamic instability of sleep apnea, reflected by night-to-night variability, is associated with DDAF persistence and burden. Continuous long-term monitoring through pacemaker systems offers a novel approach for risk stratification and may open opportunities for more personalised management strategies.

Indexed as

Atrial FibrillationPacemaker, ArtificialSleep Apnea SyndromesAgedFemaleHumansMaleMiddle AgedPolysomnographyProspective Studiesatrial fibrillationpacemakerremote monitoringrespiratory disturbance indexsleep apneavariability

Identifiers

PMID41730747
PMCPMC13357899

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.