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Cited by 63Cardiac electrophysiology and arrhythmiasECG Monitoring and AnalysisCardiac pacing and defibrillation studies

A wearable remote monitoring system for the identification of subjects with a prolonged QT interval or at risk for drug-induced long QT syndrome

Castelletti, Silvia, Dagradi, Federica, Goulene, Karine, Danza, Aurora I., Baldi, Enrico, Stramba-Badiale, Marco, Schwartz, Peter J.·2018·International Journal of Cardiology
DOI 10.1016/j.ijcard.2018.03.097
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Abstract

Background A correct measurement of the QT interval in the out-of-hospital setting is important whenever the long QT syndrome (LQTS) is suspected or a therapy might lead to drug-induced LQTS (diLQTS) because QT interval monitoring in the initial days of therapy could alert to dangerous QT prolongation. We explored whether automated QTc measurements (BGM) by BodyGuardian™ (BG), a wearable remote monitoring system, are sufficiently reliable compared to our own manual measurements (MM) performed on the same beats during 12‑lead Holter recordings in LQTS patients (pts) and in healthy controls.Methods We performed 351 measurements in 20 LQTS pts and 16 controls. MM and BGM were compared by a Bland-Altman plot (BAp). High values of BAp indicate large differences between measurements.Results In all 36 subjects QTc was 446 ± 41 and 445 ± 47 ms in MM and BGM, respectively. The mean ± SE BAp was -1.4 ± 1.8 ms for QTc in all subjects, 8.3 ± 2.3 and -7.2 ± 2.5 ms respectively in controls and LQTS. The disagreement between BGM and MM <15 ms in all, in controls, and in LQTS was respectively 57%, 63% and 54%. Among controls, there were only 3/132 false positive measurements (BGM QTc >470 ms when MM QTc <440 ms) in 3 different subjects. Among LQTS, there were 10/219 false negative measurements (BGM QTc <440 ms when MM QTc >470 ms) in 6 pts, but only two had multiple false negative values.Conclusions This wearable monitoring system reliably identifies a prolonged QT interval and probably also subjects at risk for diLQTS.

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  • Single-lead or 6-lead ECG can reasonably measure the QTc interval but with clinically significant variability.

    “Single-lead or 6-lead ECG was able to reasonably measure the QTc interval but with clinically significant variability”

    From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [78]

  • The single-lead ECG patch BodyGuardian compared with 24-h, 12-lead Holter monitoring had a mean Bland-Altman plot almost 0 with a small standard error (−1.4 ± 1.8 ms).

    “The single-lead ECG patch BodyGuardian (Preventice Solutions Group, USA) was compared with 24-h, 12-lead Holter monitoring in 25 patients with congenital long QT and in 20 healthy individuals and the mean of the Bland-Altman plot was almost 0 with a small standard error (−1.4 ± 1.8 ms)78.”

    From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [78]

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Authors
Castelletti, S., Dagradi, F., Goulene, K., Danza, A. I., Baldi, E., Stramba-Badiale, M., & Schwartz, P. J.
Affiliations
  • IRCCS Istituto Auxologico Italiano (IT)
  • University of Pavia (IT)
Corresponding author
Schwartz, Peter J.
ORCID
Venue
International Journal of Cardiology
Publisher
Elsevier BV
Published
2018-09
Volume
266
Pages
89-94
ISSN
0167-5273 (ISSN-L)
DOI
10.1016/j.ijcard.2018.03.097
OpenAlex
W2806889356
Cited by
63
References
19
Citations by year
2026: 1 · 2025: 3 · 2024: 10 · 2023: 4 · 2022: 9 · 2021: 15 · 2020: 13 · 2019: 6 · 2018: 2
FWCI
6.80
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • International Journal of Cardiology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac pacing and defibrillation studies
Keywords
long QT syndrome, drug-induced long QT syndrome, QTc interval, Holter monitoring, measurement agreement
MeSH terms
Wearable Electronic Devices, Adolescent, Adult, Electrocardiography, Female, Humans, Long QT Syndrome, Male, Middle Aged, Prospective Studies, Risk Factors, Electrocardiography, Ambulatory, Young Adult, Remote Sensing Technology, Drug-Related Side Effects and Adverse Reactions

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