Department of Cardiovasology, Changhai Hospital, Second Military Medical University.
Department of Computer Science, William Marsh Rice University.
Int Heart J. 2021 Jul 30;62(4):786-791. doi: 10.1536/ihj.21-067. Epub 2021 Jul 17.
Asymptomatic recurrences of atrial fibrillation (AF) have been found to be common after ablation.A randomized controlled trial of AF screening using a handheld single-lead ECG monitor (BigThumb) or a traditional follow-up strategy was conducted in patients with non-valvular AF after catheter ablation. Consecutive patients were randomized to either BigThumb Group (BT Group) or Traditional Follow-up Group (TF Group). The ECGs collected via BigThumb were compared using the automated AF detection algorithm, artificial intelligence (AI) algorithm, and cardiologists' manual review. Subsequent changes in adherence to oral anticoagulation of patients were also recorded. In this study, we examined 218 patients (109 in each group). After a follow-up of 345.4 ± 60.2 days, AF-free survival rate was 64.2% in BT Group and 78.9% in TF Group (P = 0.0163), with more adherence to oral anticoagulation in BT Group (P = 0.0052). The participants in the BT Group recorded 26133 ECGs, among which 3299 (12.6%) were diagnosed as AF by cardiologists' manual review. The sensitivity and specificity of the AI algorithm were 94.4% and 98.5% respectively, which are significantly higher than the automated AF detection algorithm (90.7% and 96.2%).As per our findings, it was determined that follow-up after AF ablation using BigThumb leads to a more frequent detection of AF recurrence and more adherence to oral anticoagulation. AI algorithm improves the accuracy of ECG diagnosis and has the potential to reduce the manual review.
心房颤动(AF)消融后无症状复发较为常见。本研究对接受导管消融的非瓣膜性 AF 患者采用手持式单导联心电图监测仪(BigThumb)或传统随访策略进行 AF 筛查的随机对照试验。连续患者被随机分为 BigThumb 组(BT 组)或传统随访组(TF 组)。通过 BigThumb 采集的心电图使用自动 AF 检测算法、人工智能(AI)算法和心脏病专家的手动审查进行比较。还记录了患者随后对口服抗凝剂的依从性变化。在这项研究中,我们检查了 218 例患者(每组 109 例)。随访 345.4±60.2 天后,BT 组的 AF 无复发生存率为 64.2%,TF 组为 78.9%(P=0.0163),BT 组的口服抗凝剂依从性更高(P=0.0052)。BT 组的参与者记录了 26133 份心电图,其中 3299 份(12.6%)经心脏病专家手动审查诊断为 AF。AI 算法的灵敏度和特异性分别为 94.4%和 98.5%,明显高于自动 AF 检测算法(90.7%和 96.2%)。根据我们的发现,使用 BigThumb 进行 AF 消融后的随访可更频繁地检测到 AF 复发,并提高口服抗凝剂的依从性。AI 算法提高了心电图诊断的准确性,并有可能减少手动审查。