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March 31, 2026Journal of Electrocardiology0 citations

Mobile ECG for QTc assessment in cLQTS: A step toward remote monitoring

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NSNicole J. van SteijnABAuke T. BergemanCWChristian van der Werf

Key Result

Handheld mobile ECG devices (KardiaMobile 1 L and 6 L) demonstrated excellent agreement with standard 12-lead ECGs for QTc assessment in cLQTS patients, with mean biases < 10 ms.

Key Points

  • This research aims to validate mobile ECG devices for measuring QTc intervals in patients with congenital long QT syndrome (cLQTS).
  • Studied 102 cLQTS patients (median age 36) using consecutive 12-lead ECGs and portable KardiaMobile devices.
  • Assessed agreement with 12-lead ECGs using Lin's concordance correlation coefficient and Bland-Altman analysis.
  • Evaluated mean biases and reproducibility of the measurements.
  • Mean biases were < 10 ms, indicating excellent agreement with standard 12-lead ECGs.
  • High reproducibility was observed across different measurements.
  • Findings support cautious integration of mobile ECG-based QTc monitoring for high-risk cLQTS patients.

Study Design

Type

Observational (n=102)

Structured PICO

Do handheld mobile ECG devices accurately measure QTc compared to standard 12-lead ECGs in patients with congenital long QT syndrome?

P
Population
102 patients with congenital long QT syndrome (cLQTS), median age 36
I
Intervention
Handheld mobile ECG (mECG) devices (KardiaMobile 1 L and 6 L recordings)
C
Comparator
Standard 12-lead ECGs
O
Outcome
Agreement of QTc assessment with 12-lead ECGs (assessed using Lin's concordance correlation coefficient and Bland-Altman analysis)surrogate

Handheld mobile ECG devices (KardiaMobile 1L and 6L) show excellent agreement with standard 12-lead ECGs for QTc assessment in patients with congenital long QT syndrome, supporting their potential use for remote monitoring.

Main Result

Effect estimate: Mean bias < 10 ms

Abstract

INTRODUCTION: Handheld mobile ECG (mECG) devices offer potential for remote QTc surveillance in congenital long QT syndrome (cLQTS), but validation against standard 12‑lead ECGs is limited. METHODS AND RESULTS: We studied 102 cLQTS patients (median age 36), using consecutive 12‑lead ECGs and KardiaMobile 1 L and 6 L recordings. Agreement with 12‑lead ECGs was assessed using Lin's concordance correlation coefficient (CCC) and Bland-Altman analysis. Mean biases were < 10 ms, within the predefined threshold for excellent agreement. Reproducibility was high. CONCLUSION: These findings support the cautious integration of mECG-based QTc monitoring for high-risk cLQTS patients.

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Cite This Study

Steijn et al. (2026) conducted an observational in Congenital long QT syndrome (cLQTS) (n=102). Handheld mobile ECG (KardiaMobile 1 L and 6 L) vs. Standard 12-lead ECG was evaluated on Agreement of QTc assessment between mobile ECG and 12-lead ECG (Mean bias < 10 ms). Handheld mobile ECG devices (KardiaMobile 1 L and 6 L) demonstrated excellent agreement with standard 12-lead ECGs for QTc assessment in cLQTS patients, with mean biases < 10 ms.

synapsesocial.com/papers/6a025c69edf6f481385945fbhttps://doi.org/10.1016/j.jelectrocard.2026.154239
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