Evidence map›Paper›PMID 38092993›Full record

ArticleCommunications medicine2023

Utility of smart watches for identifying arrhythmias in children.

Aydin Zahedivash, Henry Chubb, Heather Giacone, Nicole K Boramanand, Anne M Dubin, Anthony Trela, Erin Lencioni, Kara S Motonaga, William Goodyer, Brittany Navarre and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

17 authors.

Aydin ZahedivashStanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0001-6835-1139
Henry ChubbStanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.
Heather GiaconeStanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0002-6412-8543
Nicole K BoramanandStanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.
Anne M DubinStanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.
Anthony TrelaStanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.
Erin LencioniStanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.
Kara S MotonagaStanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.
William GoodyerStanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.
Brittany NavarreStanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.
Vishnu RaviStanford University, Stanford Byers Center for Biodesign, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0003-0359-1275
Paul SchmiedmayerStanford University, Stanford Byers Center for Biodesign, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0002-8607-9148
Vasiliki BikiaStanford University, Stanford Byers Center for Biodesign, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0002-4660-1560
Oliver AalamiStanford University, Stanford Byers Center for Biodesign, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0002-7799-2429
Xuefeng B LingStanford University, Department of Surgery, Palo Alto, CA, USA.
Marco PerezStanford University, Cardiovascular Medicine - Electrophysiology, Department of Medicine, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0003-2746-0202
Scott R CeresnakStanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA. ceresnak@stanford.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArrhythmia symptoms are frequent complaints in children and often require a pediatric cardiology evaluation. Data regarding the clinical utility of wearable technologies are limited in children. We hypothesize that an Apple Watch can capture arrhythmias in children.

methodsWe present an analysis of patients ≤18 years-of-age who had signs of an arrhythmia documented by an Apple Watch. We include patients evaluated at our center over a 4-year-period and highlight those receiving a formal arrhythmia diagnosis. We evaluate the role of the Apple Watch in arrhythmia diagnosis, the results of other ambulatory cardiac monitoring studies, and findings of any EP studies.

resultsWe identify 145 electronic-medical-record identifications of Apple Watch, and find arrhythmias confirmed in 41 patients (28%) [mean age 13.8 ± 3.2 years]. The arrythmias include: 36 SVT (88%), 3 VT (7%), 1 heart block (2.5%) and wide 1 complex tachycardia (2.5%). We show that invasive EP study confirmed diagnosis in 34 of the 36 patients (94%) with SVT (2 non-inducible). We find that the Apple Watch helped prompt a workup resulting in a new arrhythmia diagnosis for 29 patients (71%). We note traditional ambulatory cardiac monitors were worn by 35 patients (85%), which did not detect arrhythmias in 10 patients (29%). In 73 patients who used an Apple Watch for recreational or self-directed heart rate monitoring, 18 (25%) sought care due to device findings without any arrhythmias identified.

conclusionWe demonstrate that the Apple Watch can record arrhythmia events in children, including events not identified on traditionally used ambulatory monitors.

Identifiers

PMID38092993
PMCPMC10719318

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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.