Smartwatch Paroxysmal Arrhythmia Detection Compared with Holter

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

185 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-07-01

Study Completion Date

2026-07-01

Brief Summary

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The lifetime risk for development of atrial fibrillation, the commonest sustained arrhythmia in adults, is estimated to be 24%-27% for individuals of 40 years or older. Previous work showed that annual new diagnosis of AF is 11000-26000 in Hong Kong. Other arrhythmia such as supraventricular arrhythmia or premature beats were also common and of clinical significance.

12-lead ECG is a first line investigation for patients with suspected paroxysmal arrhythmia, but it has a low diagnostic yield with its 10-30 seconds recordings. 24-hour Holter exam is the usual next step of diagnosis. The diagnostic yield of Holter varies according to indication but is generally low at 1%-12%. This is because paroxysmal arrhythmia may not happen every day. In addition, even if arrhythmia is picked up in Holter, patient may not register the symptom, making the symptom arrhythmia correlation problematic.

Despite limitations, the demand for Holter exam is still high. In Prince of Wales Hospital, a tertiary referral centre with a catchment of about 1 million populations, the waiting time for a routine Holter exam is 3 years.

Smartwatch has gained popularity over past years as an adjunct to smartphone. Latest generations of smartwatch were equipped with wearer-initiated ECG rhythm strip recording capabilities. Smartwatch has evolved to become a health tracker with arrhythmia detection capabilities. It was found to be a useful tool for atrial fibrillation screening in general population. Other arrhythmias, such as supraventricular tachycardia, premature beats, and abnormal ECG patterns associated with sudden cardiac death could also be detected with smartwatch ECG recordings. Apple Heart study was the largest study utilizing smartwatch for arrhythmia detection. The general population was screened for atrial fibrillation using irregular pulse algorithm. The study found a 84% concordance rate between irregular pulse notification and ECG patches.

Therefore, investigators propose to conduct a study to compare its diagnostic yield with Holter, in patients with suspected arrhythmia and see if smartwatch recording following a systematic protocol for four-weeks will have better arrhythmia diagnosis yield than a 24-hour Holter exam.

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Detailed Description

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Conditions

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Arrythmia

Study Design

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Observational Model Type

OTHER

Study Time Perspective

PROSPECTIVE

Interventions

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Smart watch

not interventional

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

1. All patients referred for out-patient Holter exam from age 18 - 80 years old
2. The following indications for Holter exam will be allowed for recruitment

* Palpitation
* Pre-syncope
* Dizziness

Exclusion Criteria

1. Patients with a prior ECG diagnosis to explain the symptom
2. Primary symptom is syncope
3. Patient who has no clear indication for Holter exam
4. Pregnant ladies
5. Patients who failed to make a successful recording despite teaching attempts.
6. Patients who cannot read English or Chinese version of consent.
7. Anticipation of non-compliance with recording protocol.
8. Patients who do not have a compatible smart phone (Android 9.0 or newer, or iOS15 or newer)
9. Patients under custody

Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No