Wearable electrocardiogram devices in patients with congenital long QT syndrome: The SMART-QT study

Arch Cardiovasc Dis. 2024 May;117(5):313-320. doi: 10.1016/j.acvd.2024.02.010. Epub 2024 Apr 24.

Abstract

Background: In patients with congenital long QT syndrome (LQTS), the risk of ventricular arrhythmia is correlated with the duration of the corrected QT interval and the changes in the ST-T wave pattern on the 12-lead surface electrocardiogram (12L-ECG). Remote monitoring of these variables could be useful.

Aim: To evaluate the abilities of two wearable electrocardiogram devices (Apple Watch and KardiaMobile 6L) to provide reliable electrocardiograms in terms of corrected QT interval and ST-T wave patterns in patients with LQTS.

Methods: In a prospective multicentre study (ClinicalTrials.gov identifier: NCT04728100), a 12L-ECG, a 6-lead KardiaMobile 6L electrocardiogram and two single-lead Apple Watch electrocardiograms were recorded in patients with LQTS. The corrected QT interval and ST-T wave patterns were evaluated manually.

Results: Overall, 98 patients with LQTS were included; 12.2% were children and 92.8% had a pathogenic variant in an LQTS gene. The main genotypes were LQTS type 1 (40.8%), LQTS type 2 (36.7%) and LQTS type 3 (7.1%); rarer genotypes were also represented. When comparing the ST-T wave patterns obtained with the 12L-ECG, the level of agreement was moderate with the Apple Watch (k=0.593) and substantial with the KardiaMobile 6L (k=0.651). Regarding the corrected QT interval, the correlation with 12L-ECG was strong for the Apple Watch (r=0.703 in lead II) and moderate for the KardiaMobile 6L (r=0.593). There was a slight overestimation of corrected QT interval with the Apple Watch and a subtle underestimation with the KardiaMobile 6L.

Conclusions: In patients with LQTS, the corrected QT interval and ST-T wave patterns obtained with the Apple Watch and the KardiaMobile 6L correlated with the 12L-ECG. Although wearable electrocardiogram devices cannot replace the 12L-ECG for the follow-up of these patients, they could be interesting additional monitoring tools.

Keywords: Digital health; Long QT syndrome; QT interval; Remote monitoring; Smartwatch.

Publication types

  • Multicenter Study
  • Comparative Study

MeSH terms

  • Action Potentials
  • Adolescent
  • Adult
  • Child
  • Child, Preschool
  • Electrocardiography / instrumentation
  • Electrocardiography, Ambulatory / instrumentation
  • Equipment Design
  • Female
  • Heart Conduction System / physiopathology
  • Heart Rate*
  • Humans
  • Long QT Syndrome* / congenital
  • Long QT Syndrome* / diagnosis
  • Long QT Syndrome* / genetics
  • Long QT Syndrome* / physiopathology
  • Male
  • Middle Aged
  • Predictive Value of Tests*
  • Prospective Studies
  • Reproducibility of Results
  • Time Factors
  • Wearable Electronic Devices*
  • Young Adult

Associated data

  • ClinicalTrials.gov/NCT04728100