Cardiovascular Business April 6, 2020
Smartphone cameras could play an important role in the diagnosis of AFib, according to new findings published in JAMA Network Open. Researchers warned, however, that using camera-based applications for such a purpose leads to a sharp rise in false-positive results.
The authors explored 10 studies focused on smartphone applications that measure the amplitude and frequency of the user’s fingertip pulse to diagnose AFib. The studies occurred in 2016-2018 and included data from more than 3,800 users.
Overall, the applications had a combined sensitivity of 94.2% and specificity of 95.8%. The positive predictive value (PPV) for detecting AFib in asymptomatic patients 65 years old and older was between 19.3% and 37.5%. The negative predictive value (NPV) for that same patient cohort,...
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