Evidence map›Paper›PMID 33179808›Full record

ArticleClinical cardiology2020

Continuous monitoring of sleep-disordered breathing with pacemakers: Indexes for risk stratification of atrial fibrillation and risk of stroke.

Andrea Mazza, Maria Grazia Bendini, Massimo Leggio, Raffaele De Cristofaro, Sergio Valsecchi, Giuseppe Boriani

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Clinical cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05127720 (Schrittmacher-basiertes Schlafapnoe Langzeit-Monitoring), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 35% of its field
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.

NCT05127720 recruitingnot on this mapstarted 2021, after this paper: background citation

Schrittmacher-basiertes Schlafapnoe Langzeit-Monitoring

Typeobservational_patient_registrySponsorMedical University InnsbruckRan2021 to 2041Enrolled1,000ConditionsBradycardia
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Combination of an implantable defibrillator multi-sensor heart failure index and an apnea index for the prediction of atrial high-rate events.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Article
  4. 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

6 authors at 4 institutions in 3 countries.

Andrea MazzaCardiology Division, S. Maria della Stella Hospital, Orvieto, Italy.
Maria Grazia BendiniCardiology Division, S. Maria della Stella Hospital, Orvieto, Italy.
Massimo LeggioDepartment of Medicine and Rehabilitation, Cardiac Rehabilitation Operative Unit, S. Filippo Neri Hospital, Rome, Italy.
Raffaele De CristofaroCardiology Division, S. Maria della Stella Hospital, Orvieto, Italy.
Sergio ValsecchiRhythm Management Division, Boston Scientific, Milan, Italy.
Giuseppe BorianiCardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.ORCID https://orcid.org/0000-0002-9820-4815
Villa Maria Hospital · UGMetropolitana Milanese (Italy) · ITOspedale San Filippo Neri · ITUniversity of Modena and Reggio Emilia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSleep apnea (SA) is a risk factor for atrial fibrillation (AF). Advanced pacemakers are now able to calculate indexes of SA severity. HYPOTHESIS: We investigated the changes in pacemaker-measured indexes of SA, we assessed their predictive value for AF occurrence and the associated risk of stroke and death at long-term.

methodsWe enrolled 439 recipients of a pacemaker endowed with an algorithm for the calculation of a Respiratory Disturbance Index (RDI). The RDI variability was measured over the first 12 months after implantation, as well as its potential association with the occurrence of AF, defined as device-detected cumulative AF burden ≥6 hoursours in a day.

resultsThe individual RDI mean was 30 ± 18 episodes/h, and the RDI maximum was 59 ± 21 episodes/h. RDI ≥30 episodes/h was detected in 351 (80%) patients during at least one night. The proportion of nights with RDI ≥30 episodes/h was 14% (2%-36%). AF ≥6 hours was detected in 129 (29%) patients during the first 12 months. The risk of AF was higher in patients with RDI maximum ≥63 episodes/h (HR:1.74; 95%CI: 1.22-2.48; P = .001) and with RDI mean ≥ 46 episodes/h (HR:1.63; 95%CI: 1.03-2.57; P = .014). The risk of all-cause death or stroke was higher in patients with AF burden ≥6 hours (HR:1.75; 95%CI: 1.06-2.86; P = .016). Moreover, among patients with no previous history of AF the risk was higher in those with RDI maximum ≥63 episodes/h (HR:1.96; 95%CI: 1.06-3.63; P = .031).

conclusionsPacemaker-detected SA showed a considerable variability during follow-up. We confirmed the association between RDI and higher risk of AF, and we observed an association between higher RDI maximum and all-cause death or stroke among patients with no previous history of AF.

Indexed as

AlgorithmsPacemaker, ArtificialAgedAtrial FibrillationFemaleFollow-Up StudiesHumansMalePolysomnographyRetrospective StudiesRisk AssessmentRisk FactorsSeverity of Illness IndexSleep Apnea SyndromesStrokeatrial fibrillationpacemakersleep apneastroke

Identifiers

PMID33179808
PMCPMC7724201
OpenAlexW3103788245

What OpenQuestion holds

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Registered trials

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.