Abstract
Cardiac rhythm disorders account for a large portion of cardiovascular diseases, straining healthcare systems globally (1). Single-lead electrocardiograms incorporated into watches, phones and other ‘smart’ devices are increasingly being used by consumers to access healthcare (2).
We hypothesized that single lead electrocardiograms generated by smart devices may be useful in diagnostic pathways for the management of heart rhythm disorders. In addition, we sought to assess the impact of smart device data on the referral journey to the arrhythmia clinic.
From November 2023 to May 2024 adult (≥18 years) patients referred to the arrhythmia clinic of a district general hospital in the United Kingdom, were recruited into the study if their symptoms and/or clinical concerns were generated or captured by a single-lead ECG from a smart device. All study participants underwent clinical review, baseline ECG and subsequently traditional Holter monitoring and correlation with smart device data was assessed by a cardiac electrophysiologist.
A total of 24 patients (54% female; median age 49, IQR 19-80) with a mean follow up of 10 months were included in the study. Smart device data were generated from Garmin’s (4%), Apple Watches (46%), Fitbits (13%) and AliveCor KardiaMobile. The majority (75%) of patients sought medical attention due to smart device alerts, often in the absence of symptoms. Atrial fibrillation (30%), narrow complex tachycardia (42%) and normal sinus rhythm/bradycardia (12%) were detected. We observed a 100% positive correlation between traditional ECG monitoring in patients who had simultaneous recordings from smart devices.
These findings suggest that the current generation of smart devices are highly accurate and can serve as valuable adjuncts in the investigation and management of patients with suspected heart rhythm disorders. However, these devices generate alerts even in the absence of symptoms. Diagnostic pathways to accommodate an increasing number of referrals from concerned consumers will need to be designed. Participant demographics and results Recruitment process
