Abstract 17082: ECG Screening in North Texas High School Students: A Randomized, Pilot Feasibility Study

Introduction: The death of young athletes is devastating to families and communities. Despite routine pre-participation screening, 80–100/yr die or suffer cardiac arrest, with 65% occurring in high school athletes. AHA/ACC recommendations for pre-participation screening do not include routine electrocardiogram (ECG), in contrast to some international guidelines. Methods: We designed a pilot study to test feasibility of a larger trial, scaled to 1% of the estimated 800,000 participants required to power for detection of sudden death/arrest. Athletes and band members enrolled in eight high schools in two Texas school districts were randomized in block fashion to standard screening alone versus the addition of ECG. ECGs were interpreted using CardeaScreen software, over-read by an independent expert. Students with abnormal ECGs received cardiology evaluation at no cost. Text messages assessing for cardiac events or hospitalizations were sent to both groups biannually. Results: Of the ~8,000 eligible students, the intervention group enrolled 847 students who received ECG (21%); the non-intervention group enrolled 655 students (16%). CardeaScreen identified 20 of 847 ECGs as abnormal (2.4%) and the expert identified 19 as abnormal (2.2%) Six of 20 ECGs (30%) identified as abnormal by CardeaScreen were over-read as normal, and 5 of 827 ECGs (0.6%) identified as normal by CardeaScreen were over-read as abnormal (PPV 70%, NPV 99.4%). Twenty-five follow up visits were attempted, 22 were completed (88%), and specialist referrals were sent for 6 (29%). New diagnoses included Wolf-Parkinson-White syndrome, coronary anomaly, and depressed LV function. Follow up with SMS surveys yielded 737 responses at 6 months and 441 responses at 16 months. No sudden cardiac death or arrest was reported. Conclusion: Randomized ECG testing and follow-up of high school students is feasible, though with low enrollment and relatively low yield. Automated ECG interpretation is viable but leads to significant false + results. Low participation in enrollment and follow up present challenges to a large-scale ECG screening study powered for clinical events. Possible solutions include an “opt-out” enrollment strategy and use of alternate follow up methods such as social media.