Utility of smart watches for identifying arrhythmias in children.


Journal

Communications medicine
ISSN: 2730-664X
Titre abrégé: Commun Med (Lond)
Pays: England
ID NLM: 9918250414506676

Informations de publication

Date de publication:
13 Dec 2023
Historique:
received: 15 05 2023
accepted: 23 10 2023
medline: 14 12 2023
pubmed: 14 12 2023
entrez: 13 12 2023
Statut: epublish

Résumé

Arrhythmia 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. We 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. We 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. We demonstrate that the Apple Watch can record arrhythmia events in children, including events not identified on traditionally used ambulatory monitors. Wearable devices, such as smart watches, have become popular for the monitoring of health, particularly for people with heart conditions. Wearable devices have been well-studied in adults, however there is less information available on their effectiveness in monitoring children’s health. We reviewed the heart electrical recordings of a group of children who submitted recordings obtained from their Apple Watches during moments when they felt as though their heart’s rhythm was abnormal. The Apple Watches captured rhythm abnormalities that matched the diagnoses obtained using heart monitors used clinically. This study shows that use of Apple Watches can enable clinicians to identify abnormalities that many traditional at-home monitoring devices do not detect. Thus, wearable devices, such as the Apple Watch, could be used to help identify heart rhythm disorders in children.

Sections du résumé

BACKGROUND BACKGROUND
Arrhythmia 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.
METHODS METHODS
We 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.
RESULTS RESULTS
We 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.
CONCLUSION CONCLUSIONS
We demonstrate that the Apple Watch can record arrhythmia events in children, including events not identified on traditionally used ambulatory monitors.
Wearable devices, such as smart watches, have become popular for the monitoring of health, particularly for people with heart conditions. Wearable devices have been well-studied in adults, however there is less information available on their effectiveness in monitoring children’s health. We reviewed the heart electrical recordings of a group of children who submitted recordings obtained from their Apple Watches during moments when they felt as though their heart’s rhythm was abnormal. The Apple Watches captured rhythm abnormalities that matched the diagnoses obtained using heart monitors used clinically. This study shows that use of Apple Watches can enable clinicians to identify abnormalities that many traditional at-home monitoring devices do not detect. Thus, wearable devices, such as the Apple Watch, could be used to help identify heart rhythm disorders in children.

Autres résumés

Type: plain-language-summary (eng)
Wearable devices, such as smart watches, have become popular for the monitoring of health, particularly for people with heart conditions. Wearable devices have been well-studied in adults, however there is less information available on their effectiveness in monitoring children’s health. We reviewed the heart electrical recordings of a group of children who submitted recordings obtained from their Apple Watches during moments when they felt as though their heart’s rhythm was abnormal. The Apple Watches captured rhythm abnormalities that matched the diagnoses obtained using heart monitors used clinically. This study shows that use of Apple Watches can enable clinicians to identify abnormalities that many traditional at-home monitoring devices do not detect. Thus, wearable devices, such as the Apple Watch, could be used to help identify heart rhythm disorders in children.

Identifiants

pubmed: 38092993
doi: 10.1038/s43856-023-00392-9
pii: 10.1038/s43856-023-00392-9
doi:

Types de publication

Journal Article

Langues

eng

Pagination

167

Informations de copyright

© 2023. The Author(s).

Références

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Auteurs

Aydin Zahedivash (A)

Stanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.

Henry Chubb (H)

Stanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.

Heather Giacone (H)

Stanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.

Nicole K Boramanand (NK)

Stanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.

Anne M Dubin (AM)

Stanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.

Anthony Trela (A)

Stanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.

Erin Lencioni (E)

Stanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.

Kara S Motonaga (KS)

Stanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.

William Goodyer (W)

Stanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.

Brittany Navarre (B)

Stanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA.

Vishnu Ravi (V)

Stanford University, Stanford Byers Center for Biodesign, Palo Alto, CA, USA.

Paul Schmiedmayer (P)

Stanford University, Stanford Byers Center for Biodesign, Palo Alto, CA, USA.

Vasiliki Bikia (V)

Stanford University, Stanford Byers Center for Biodesign, Palo Alto, CA, USA.

Oliver Aalami (O)

Stanford University, Stanford Byers Center for Biodesign, Palo Alto, CA, USA.

Xuefeng B Ling (XB)

Stanford University, Department of Surgery, Palo Alto, CA, USA.

Marco Perez (M)

Stanford University, Cardiovascular Medicine - Electrophysiology, Department of Medicine, Palo Alto, CA, USA.

Scott R Ceresnak (SR)

Stanford University, Lucile Packard Children's Hospital, Department of Pediatrics, Pediatric Cardiology, Palo Alto, CA, USA. ceresnak@stanford.edu.

Classifications MeSH