PO-04-179 DIAGNOSTIC ACCURACY OF THE APPLE WATCH AND CART-I RING FOR DETECTING ATRIAL ARRHYTHMIAS (AF, AT, AND ATRIAL FLUTTERS)

Consumer-facing wearable devices have dedicated algorithms to detect AF that rely on identifying irregular R-R intervals. Regular atrial arrhythmias, such as tachycardias (AT) and flutters, which may also benefit from anticoagulation, remain undetected. We sought investigate the diagnostic accuracy of Apple Watch (APW) Series 6 CART-I ring’s (C-ring) in detecting arrhythmias (AF, AT, flutter). In this single-centre prospective study, participants underwent simultaneous 12-lead ECG recordings with a 30-second single-lead device ECG. The order was randomly assigned. Two cardiologists independently adjudicated all ECGs; any disagreements were resolved by third cardiologist. devices’ algorithm labelled ECGs "AF," "Not AF," or "Unclassified." Diagnostic for each determined calculating sensitivity specificity comparing them using McNemar’s Fisher tests. enrolled 400 consecutive patients. Seven patients had suboptimal excluded analysis. Baseline demographics are depicted Table 1. seen 166 patients, 39 an AT/atrial flutter. Automated detection AT/AF flutter poor both (Table 2). flutter, APW classified (15%) AF, 17 (44%) sinus rhythm, 16 (41%) unclassified. C-ring similar results, just 33% cases being AF. Physician-interpreted identified higher number flutters than (13 vs. 25, p = 0.01), but many incorrectly If included, automatic (AF flutter) significantly APW, at 57.6%(95%CI:50.7%–64.1%) 77.0%(95% CI:70.9%–82.3%), respectively. arrhythmia increased following exclusion unclassified still lower (mean difference 10.3%, p=0.012). high (94.1% 91.7% C-ring, 0.44). There no significant between automated physician interpretation. regular is low. excellent overall arrhythmia, mislabeled