The WATCH AF Trial: SmartWATCHes for Detection of Atrial Fibrillation

• Published in: JACC. Clinical electrophysiology Vol. 5; no. 2; p. 199
• Main Authors: Dörr, Marcus, Nohturfft, Vivien, Brasier, Noé, Bosshard, Emil, Djurdjevic, Aleksandar, Gross, Stefan, Raichle, Christina J, Rhinisperger, Mattias, Stöckli, Raphael, Eckstein, Jens
• Format: Journal Article
• Language: English
• Published: United States 01.02.2019
• Subjects: Aged; Aged, 80 and over; Algorithms; Atrial Fibrillation - diagnosis; Case-Control Studies; Electrocardiography - instrumentation; Female; Humans; Male; Photoplethysmography - instrumentation; Photoplethysmography - methods; Prospective Studies; Pulse Wave Analysis - instrumentation; Reproducibility of Results; Sensitivity and Specificity; Wearable Electronic Devices; smartwatch; iECG screening; atrial fibrillation; screening; photoplethysmography; mobile ECG
• ISSN: 2405-5018
• DOI: 10.1016/j.jacep.2018.10.006

The WATCH AF (SmartWATCHes for Detection of Atrial Fibrillation) trial compared the diagnostic accuracy to detect atrial fibrillation (AF) by a smartwatch-based algorithm using photoplethysmographic (PPG) signals with cardiologists' diagnosis by electrocardiography (ECG). Timely detection of AF is crucial for stroke prevention. In this prospective, 2-center, case-control trial, a PPG pulse wave recording using a commercially available smartwatch was obtained along with Internet-enabled mobile ECG in 672 hospitalized subjects. PPG recordings were analyzed by a novel automated algorithm. Cardiologists' diagnoses were available for 650 subjects, although 142 (21.8%) datasets were not suitable for PPG analysis, among them 101 (15.1%) that were also not interpretable by the automated Internet-enabled mobile ECG algorithm, resulting in a sample size of 508 subjects (mean age 76.4 years, 225 women, 237 with AF) for the main analyses. For the PPG algorithm, we found a sensitivity of 93.7% (95% confidence interval [CI]: 89.8% to 96.4%), a specificity of 98.2% (95% CI: 95.8% to 99.4%), and 96.1% accuracy (95% CI: 94.0% to 97.5%) to detect AF. The results of the WATCH AF trial suggest that detection of AF using a commercially available smartwatch is in principle feasible, with very high diagnostic accuracy. Applicability of the tested algorithm is currently limited by a high dropout rate as a result of insufficient signal quality. Thus, achieving sufficient signal quality remains challenging, but real-time signal quality checks are expected to improve signal quality. Whether smartwatches may be useful complementary tools for convenient long-term AF screening in selected at-risk patients must be evaluated in larger population-based samples. (SmartWATCHes for Detection of Atrial Fibrillation [WATCH AF]:; NCT02956343).