Evidence map›Paper›PMID 33555260›Full record

ArticleJMIR cardio2021

Heart Rate Measurements in Patients with Obstructive Sleep Apnea and Atrial Fibrillation: Prospective Pilot Study Assessing Apple Watch's Agreement With Telemetry Data.

Pauline Huynh, Rongzi Shan, Ngozi Osuji, Jie Ding, Nino Isakadze, Francoise A Marvel, Garima Sharma, Seth S Martin

Open access · goldAbstract read
In one paragraph

Article in JMIR cardio, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 34% 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.

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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
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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

8 authors at 1 institution in 1 country.

Pauline Huynh *School of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-5878-1442
Rongzi Shan *Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-0445-5702
Ngozi OsujiCiccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-4772-8213
Jie DingCiccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-7071-7424
Nino IsakadzeSchool of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-5396-2110
Francoise A MarvelSchool of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-6422-1772
Garima SharmaSchool of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-7254-2077
Seth S MartinSchool of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-7021-7622
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with obstructive sleep apnea (OSA) are at a higher risk for atrial fibrillation (AF). Consumer wearable heart rate (HR) sensors may be a means for passive HR monitoring in patients with AF.

objectiveThe aim of this study was to assess the Apple Watch's agreement with telemetry in measuring HR in patients with OSA in AF.

methodsPatients with OSA in AF were prospectively recruited prior to cardioversion/ablation procedures. HR was sampled every 10 seconds for 60 seconds using telemetry and an Apple Watch concomitantly. Agreement of Apple Watch with telemetry, which is the current gold-standard device for measuring HR, was assessed using mixed effects limits agreement and Lin's concordance correlation coefficient.

resultsA total of 20 patients (mean 66 [SD 6.5] years, 85% [n=17] male) participated in this study, yielding 134 HR observations per device. Modified Bland-Altman plot revealed that the variability of the paired difference of the Apple Watch compared with telemetry increased as the magnitude of HR measurements increased. The Apple Watch produced regression-based 95% limits of agreement of 27.8 - 0.3 × average HR - 15.0 to 27.8 - 0.3 × average HR + 15.0 beats per minute (bpm) with a mean bias of 27.8 - 0.33 × average HR bpm. Lin's concordance correlation coefficient was 0.88 (95% CI 0.85-0.91), suggesting acceptable agreement between the Apple Watch and telemetry.

conclusionsIn patients with OSA in AF, the Apple Watch provided acceptable agreement with HR measurements by telemetry. Further studies with larger sample populations and wider range of HR are needed to confirm these findings.

Indexed as

atrial fibrillationdigital healthmHealthobstructive sleep apneawearables

Identifiers

PMID33555260
PMCPMC8411424
OpenAlexW3113301773

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.