A smartwatch ECG can accurately detect heart failure (HF) in nonclinical environments, according to a study published in Nature Medicine. Researchers analysed Apple Watch ECG recordings with AI to identify patients with ventricular dysfunction. Study participants were able to remotely record their smartwatch ECGs at any time, with the data automatically and securely uploaded to their electronic health records via a smartphone app.
“Currently, we diagnose ventricular dysfunction – a weak heart pump – through an echocardiogram, CT scan or an MRI, but these are expensive, time consuming and at times inaccessible. The ability to diagnose a weak heart pump remotely, from an ECG that a person records using a consumer device, such as a smartwatch, allows a timely identification of this potentially life-threatening disease at massive scale,” says senior study author Paul Friedman, MD, chair of the Department of Cardiovascular Medicine at Mayo Clinic.
Ventricular dysfunction might not cause symptoms, but affects about 2% of the population and 9% of people over 60. Symptoms may develop with a low ejection fraction, including shortness of breath, a rapid heart rate and swelling in the legs. Early diagnosis is important because once identified, there are numerous treatments to improve quality of life and decrease the risks of heart failure and death.
Mayo researchers interpreted Apple Watch single-lead ECGs by modifying an earlier algorithm developed for 12-lead ECGs that is proven to detect a low ejection fraction.
While the data are early, the modified AI algorithm using single-lead ECG data had an area under the curve of 0.88 to detect low ejection fraction. By comparison, this measure of accuracy is as good as or slightly better than a medical treadmill diagnostic test.
“These data are encouraging because they show that digital tools allow convenient, inexpensive, scalable screening for important conditions. Through technology, we can remotely gather useful information about a patient’s heart in an accessible way that can meet the needs of people where they are,” says first author Zachi Attia, PhD, the lead AI scientist in the Department of Cardiovascular Medicine at Mayo Clinic.
“Building the capability to ingest data from wearable consumer electronics and provide analytic capabilities to prevent disease or improve health remotely in the manner demonstrated by this study can revolutionize health care. Solutions like this not only enable prediction and prevention of problems, but also will eventually help diminish health disparities and the burden on health systems and clinicians,” says co-author Bradley Leibovich, MD, the medical director for the Mayo Clinic Center for Digital Health.
Approximately 420 of the 2454 participants had an echocardiogram within 30 days of logging an Apple Watch ECG in the app. Of those, 16 patients had low ejection fraction confirmed by the echocardiogram, which provided a comparison for accuracy.
Source: Mayo Clinic
