Evidence map›Paper›PMID 35478721›Full record

ArticleNature and science of sleep2022

Detection of Common Arrhythmias by the Watch-PAT: Expression of Electrical Arrhythmias by Pulse Recording.

Giora Pillar, Murray Berall, Richard B Berry, Tamar Etzioni, Yaakov Henkin, Dennis Hwang, Ibrahim Marai, Faheem Shehadeh, Prasanth Manthena, Anil Rama and 3 more

Abstract read
In one paragraph

Article in Nature and science of sleep, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Multidiagnostic chest-worn patch to detect obstructive sleep apnea and cardiac arrhythmias.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  2. Review
  3. Article
  4. Review
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

13 authors.

Giora PillarSleep Laboratory, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel.ORCID 0000-0002-0553-4226
Murray BerallCenter of Sleep and Chronobiology, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-6429-8115
Richard B BerryUF Health Sleep Center, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-6579-9883
Tamar EtzioniSleep Laboratory, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel.
Yaakov HenkinCardiology Department, Soroka Medical Center, Be'er Sheva, Israel.
Dennis HwangKaiser Permanente San Bernardino County Medical Center, Fontana, CA, USA.
Ibrahim MaraiCardiology Department, Rambam Medical Center, Haifa, Israel.
Faheem ShehadehCardiology Department, Rambam Medical Center, Haifa, Israel.
Prasanth ManthenaSleep clinic, Kaiser Permanente Los Angeles Medical Center, Los Angeles, CA, USA.
Anil RamaSleep Clinic, Kaiser Permanente San Jose Medical Center, San Jose, CA, USA.
Rebecca SpiegelDepartment of Neurology and Sleep Center, Stony Brook University Hospital, Stony Brook, NY, USA.ORCID 0000-0003-0106-0083
Thomas PenzelCharite Universitätsmedizin Berlin, Sleep Medicine Center, Berlin, Germany.ORCID 0000-0002-4304-0112
Riva TaumanSleep Disorders Center, Tel Aviv Sourasky Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The WatchPAT (WP) device was shown to be accurate for the diagnosis of sleep apnea and is widely used worldwide as an ambulatory diagnostic tool. While it records peripheral arterial tone (PAT) and not electrocardiogram (ECG), the ability of it to detect arrhythmias is unknown and was not studied previously. Common arrhythmias such as atrial fibrillation (AF) or premature beats may be uniquely presented while recording PAT/pulse wave. Purpose: To examine the potential detection of common arrhythmias by analyzing the PAT amplitude and pulse rate/volume changes. Patients and Methods: Patients with suspected sleep disordered breathing (SDB) were recruited with preference for patients with previously diagnosed AF or congestive heart failure (CHF). They underwent simultaneous WP and PSG studies in 11 sleep centers. A novel algorithm was developed to detect arrhythmias while measuring PAT and was tested on these patients. Manual scoring of ECG channel (recorded as part of the PSG) was blinded to the automatically analyzed WP data. Results: A total of 84 patients aged 57±16 (54 males) participated in this study. Their BMI was 30±5.7Kg/m2. Of them, 41 had heart failure (49%) and 17 (20%) had AF. The sensitivity and specificity of the WP to detect AF segments (of at least 60 seconds) were 0.77 and 0.99, respectively. The correlation between the WP derived detection of premature beats (events/min) to that of the PSG one was 0.98 (p<0.001). Conclusion: The novel automatic algorithm of the WP can reasonably detect AF and premature beats. We suggest that when the algorithm raises a flag for arrhythmia, the patients should shortly undergo ECG and/or Holter ECG study.

Indexed as

arrhythmiaatrial fibrillationhome sleep apnea testobstructive sleep apneaWatchPAT

Identifiers

PMID35478721
PMCPMC9038202

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.