Software-based detection of atrial fibrillation in long-term ECGs.

BACKGROUND: Atrial fibrillation (AF) is common and may have severe consequences. Continuous long-term electrocardiogram (ECG) is widely used for AF screening. Recently, commercial ECG analysis software was launched, which automatically detects AF in long-term ECGs. It has been claimed that such tools offer reliable AF screening and save time for ECG analysis. However, this has not been investigated in a real-life patient cohort. OBJECTIVE: To investigate the performance of automatic software-based screening for AF in long-term ECGs. METHODS: Two independent physicians manually screened 22,601 hours of continuous long-term ECGs from 150 patients for AF. Presence, number, and duration of AF episodes were registered. Subsequently, the recordings were screened for AF by an established ECG analysis software (Pathfinder SL), and its performance was validated against the thorough manual analysis (gold standard). RESULTS: Sensitivity and specificity for AF detection was 98.5% (95% confidence interval 91.72%-99.96%) and 80.21% (95% confidence interval 70.83%-87.64%), respectively. Software-based AF detection was inferior to manual analysis by physicians (P < .0001). Median AF duration was underestimated (19.4 hours vs 22.1 hours; P < .001) and median number of AF episodes was overestimated (32 episodes vs 2 episodes; P < .001) by the software. In comparison to extensive quantitative manual ECG analysis, software-based analysis saved time (2 minutes vs 19 minutes; P < .001). CONCLUSION: Owing to its high sensitivity and ability to save time, software-based ECG analysis may be used as a screening tool for AF. An additional manual confirmatory analysis may be required to reduce the number of false-positive findings.

Atrioventricular conduction after transcatheter aortic valve implantation and surgical aortic valve replacement.

INTRODUCTION: Atrioventricular conduction abnormalities (AVCA) may complicate transcatheter aortic valve implantation (TAVI) and surgical aortic valve replacement (SAVR). The aim of this study was to prospectively evaluate AVCA after TAVI and SAVR. METHODS AND RESULTS: Among 50 patients undergoing TAVI and 25 patients undergoing SAVR a continuous 7-day Holter electrocardiogram (ECG) was recorded after the procedure. ECGs during TAVI and 12-lead ECGs before and 1 and 7 days after TAVI and SAVR were analyzed. At baseline, TAVI patients were older (mean 82.1 vs 75.4, P < 0.001), had a longer PR interval (median 200 milliseconds vs 175 milliseconds, P = 0.004) and broader QRS width (median 100 milliseconds vs 80 milliseconds, P = 0.007) than SAVR patients. New AVCA were observed among 29 TAVI patients (58%), mostly new left bundle branch block (76%). Predilatation induced new AVCA in 14 TAVI patients (28%). New AVCA resolved within 24 hours in 15 TAVI patients (30%), and persisted in 14 TAVI (28%) and 3 SAVR patients (12%, P = 0.12). Among patients with persistent QRS width <120 milliseconds during the first 24 hours after TAVI, QRS width remained stable during the remainder of the observation period. During Holter monitoring complete AV block was observed in 4 TAVI patients (8%) and 3 SAVR patients (12%; P = 0.68). CONCLUSIONS: Almost half of AVCA during TAVI are induced by predilatation, but half of them resolve within 24 hours. Persistent AVCA are more frequently observed after TAVI than SAVR. If QRS width is below 120 milliseconds the first day after TAVI, the risk of late AVCA seems low.