Table 1 Patient population and basic Apple Watch findings.
From: Utility of smart watches for identifying arrhythmias in children
Patient population | N = 41 |
Age at diagnosis (years) | 13.8 ± 3.2 |
Female (n, %) | 27 (66%) |
Weight at diagnosis (kg) | 57 ± 18 |
Race (n, %) | |
White, Caucasian | 25 (61%) |
Hispanic, Latinx | 12 (29%) |
Asian | 2 (5%) |
Black, African American | 1 (2.5%) |
Two or more races | 1 (2.5%) |
Echocardiogram function (n, %) | |
Normal | 40 (98%) |
Moderately reduced | 1 (3%) |
LVEF on echocardiogram (%) | 65 ± 5% |
Congenital heart disease (n, %) | 5 (12%) |
Invasive EP study performed (n, %) | 36 (88)% |
Arrhythmia identified (n%) | |
SVT | 36 (88%) |
AVRT | 16 (44%) |
AVNRT | 11 (30%) |
EAT | 4 (11%) |
Atrial Fibrillation | 2 (6%) |
Atrial Flutter | 1 (3%) |
No EPS (patient or family preference) | 2 (6%) |
VT | 3 (7%) |
Wide complex tachycardia | 1 (2.5%) |
AV block with wide complex escape rhythm | 1 (2.5%) |
Arrhythmia rate on Apple Watch during arrhythmia (bpm) | 220 [191–230] |
Apple Watch role in arrhythmia diagnosis or management (n%) | |
Establish initial diagnosis | 29 (71%) |
New arrhythmia finding in a patient with a prior known diagnosis | 8 (19%) |
Identified an episode of a previously known arrhythmia | 4 (10%) |
Method of Apple Watch arrhythmia diagnosis (n, %) | |
High heart rate notification with symptoms | 23 (56%) |
Patient-triggered ECG recording during symptoms | 18 (44%) |
