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CompletedNCT05161065Updated Oct 3, 2023

Comparison of QT Interval Readings Between Smartwatch Combined With Cardiologs Artificial Intelligence and 12-lead ECG

An observational study in Atrial Fibrillation, sponsored by Cardiologs Technologies. Completed at 1 site in United States. Open to participants aged 22 Years and older. Per ClinicalTrials.gov, last updated 2023-10-03.

Sponsored by Cardiologs Technologies · Observational

Study type
Observational
Model
Case-only
Time perspective
Prospective
Enrollment
50
Ages
22 Years and older
Sex
All
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Study summary

The WatchQT study will compare the performance of a smartwatch combined with Cardiologs ECG AI Analysis system in monitoring corrected QT (QTc) intervals with that measured on a manually read 12-lead ECG in subjects with Normal Sinus Rhythm (NSR) during antiarrhythmic drug (AAD) initiation and follow-up at the hospital.

Read the detailed description

The WatchQT Study is a prospective, non-significant risk, non-randomized, monocentric, open, comparative, concordance pilot study.

Under subject consent, subjects hospitalized for AAD initiation and monitoring will have smartwatch ECG recordings done simultaneously with 12-lead ECG measurements before and after drug administration twice a day, in accordance with the existing in-stay subject monitoring protocol.

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Conditions studied

  • Atrial Fibrillation

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03

In context

Atrial Fibrillation

3,870 studies on the registry are indexed under Atrial Fibrillation; 924 are open to participants now.

This study's enrollment of 50 is below the median of 300 across 1,363 observational studies indexed under Atrial Fibrillation.

Browse Atrial Fibrillation studies →

Lead sponsor

Cardiologs Technologies is the lead sponsor of 4 studies on the registry; none are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
22 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

30 to 50 Subjects: Subjects who are being hospitalized for antiarrhythmic drug (AAD) initiation and monitoring per standard of care.

Inclusion criteria

  1. Subjects over 22, able and willing to participate in the study
  2. Subjects who are admitted to the hospital in NSR or AF and are eligible for AAD (class Ia or class III) dose initiation or re-initiation.
  3. Subjects having read the patient information letter and provided his/her consent to participate in writing, by dating and signing the informed consent prior to any trial-related procedure being conducted

Exclusion criteria

Exclusion Criteria:

  1. Subjects with Cardiac Implantable Electronic Devices (CIED)
  2. Pregnant or breast-feeding subjects
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Study design

Observational model
Case-only
Time perspective
Prospective
Enrollment
50 participants (actual)
Patient registry
No

Interventions

  • DeviceCardiologs

    Apple Watch recordings interpreted by Cardiologs AI done simultaneously with each 12-lead ECG

    Also known as: Apple Watch

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What researchers measure

Primary outcomes

  1. Concordance between QTc intervals (in ms) measured by smartwatch combined with Cardiologs AI and that measured by manually read 12-lead ECG

    Concordance between QTc intervals measured by smartwatch combined with Cardiologs AI and that measured by manually read 12-lead ECG for each measurement done during NSR. The Bazett (QTcB in ms) and Fridericia (QTcF in ms) methods will be used to correct QT intervals

    Time frame: Readings taken simultaneously right before and 2-3 hours after drug administration during hospitalization

Secondary outcomes

  1. Description of the sensitivity and specificity of the smartwatch combined with Cardiologs AI

    Description of the sensitivity and specificity of the smartwatch combined with Cardiologs AI in determining subjects at risk of AAD induced ventricular arrhythmia compared to that identified by manually read 12-lead ECG in subjects with a prolonged QTc \> 500 ms and/or subjects with a QTc prolongation of \> 15% after their initial AAD dose

    Time frame: Readings taken simultaneously right before and 2-3 hours after drug administration during hospitalization

  2. Concordance between QTcB and QTcF intervals measured by the different methods

    Concordance between QTcB and QTcF intervals measured by the different methods (smartwatch combined with Cardiologs AI, smartwatch read manually, 12-lead read manually, lead 1 from 12-lead read manually and automated interpretation of the 12 lead ECG machine)

    Time frame: Readings taken simultaneously right before and 2-3 hours after drug administration during hospitalization

  3. Description of the QTc interval measurements in NSR

    Description of the QTc interval measurements in NSR as a function of timepoints by the different methods

    Time frame: Readings taken simultaneously right before and 2-3 hours after drug administration during hospitalization

  4. Quantitative analysis to determine the interobserver variability

    Quantitative analysis to determine the interobserver variability in QTc interval measurements by the smartwatch and 12-lead ECG manual readings

    Time frame: Readings taken simultaneously right before and 2-3 hours after drug administration during hospitalization

  5. Description of the QT interval defined as uncertain by the smartwatch combined with Cardiologs AI

    Description of the QT interval defined as uncertain by the smartwatch combined with Cardiologs AI

    Time frame: Readings taken simultaneously right before and 2-3 hours after drug administration during hospitalization

  6. Descriptive analysis of QT interval measurements in AF measured by smartwatch combined with Cardiologs AI and manually read 12-lead ECG

    .Descriptive analysis of QT interval measurements in AF measured by smartwatch combined with Cardiologs AI and manually read 12-lead ECG at each timepoint and overall.

    Time frame: Readings taken simultaneously right before and 2-3 hours after drug administration during hospitalization

  7. Analysis of QT interval measured in subsets of subjects with and without wide QRS

    Patient with wide QRS is determined as a QRS\>120ms at D0 from automated interpretation of the 12-lead ECG machine. The analysis will be done in subset of 2 groups according to the QRS measured as wide or not machine

    Time frame: Readings taken simultaneously right before and 2-3 hours after drug administration during hospitalization

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Study locations

1 site
  • Massachusetts General Hospital
    Boston, Massachusetts 02114, United States
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References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Oct 3, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT05161065
Lead sponsor
Cardiologs Technologies
Responsible party
Sponsor
First posted
Dec 16, 2021
Start date
Feb 12, 2022
Primary completion
Feb 28, 2023
Completion
Feb 28, 2023
Last update
Oct 3, 2023

Study contacts

Jagmeet Singh, MD ScM DPhil
principal investigator · Massachusetts General Hospital

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Oct 2023. You cannot join it, but the record below documents what was studied.

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