Felix K Wegner1, Simon Kochhäuser2, Christian Ellermann3, Philipp S Lange3, Gerrit Frommeyer3, Patrick Leitz3, Lars Eckardt3, Dirk G Dechering3. 1. Department of Electrophysiology, University Hospital Muenster, Muenster, Germany. Electronic address: felix.wegner@ukmuenster.de. 2. Department of Electrophysiology, University Hospital Muenster, Muenster, Germany; Current address: Department of Cardiology and Vascular Medicine, West German Heart and Vascular Center Essen, University Duisburg-Essen, Essen, Germany. 3. Department of Electrophysiology, University Hospital Muenster, Muenster, Germany.
Abstract
INTRODUCTION: The AliveCor Kardia ECG monitor (ACK) offers a smartphone-based one-lead ECG recording for the detection of atrial fibrillation. We compared ACK lead I recordings with the 12-lead ECG and introduce a novel parasternal lead (NPL). METHODS: Consecutive cardiac inpatients were recruited. In all patients a 12-lead ECG, ACK lead I and NPL were obtained. Two experienced electrophysiologists were blinded and separately evaluated all ECG. We calculated sensitivity, specificity, and predictive values of the ACK ECG compared to the 12-lead ECG. RESULTS: 296 ECG from 99 patients (38 female, age 64 ± 15 years, BMI 27.8 ± 5.1 kg/m2) were analyzed. 20% of ACK lead I recordings contained a critical amount of artifact. The electrophysiologists' interpretation of the ACK recordings yielded a sensitivity of 100% and specificity of 94% for atrial fibrillation or flutter in lead I (κ = 0.90) and a sensitivity of 96% and specificity of 97% in the NPL (κ = 0.92). The ACK diagnostic algorithm displayed a significantly lower sensitivity (55-70%), specificity (60-69%), and accuracy (κ = 0.4-0.53) but a high negative predictive value (100%). Patients with atrial flutter (n = 5) and with ventricular stimulation (n = 12) had a high likelihood of being misclassified by the algorithm. CONCLUSION: The AliveCor Kardia ECG monitor allows a highly accurate detection of atrial fibrillation by an interpreting electrophysiologist both in the standard lead I and a novel parasternal lead. The diagnostic algorithm offered by the system may be useful in screening recordings for further review. Diagnostic challenges present in atrial flutter and ventricular pacemaker stimulation.
INTRODUCTION: The AliveCor Kardia ECG monitor (ACK) offers a smartphone-based one-lead ECG recording for the detection of atrial fibrillation. We compared ACK lead I recordings with the 12-lead ECG and introduce a novel parasternal lead (NPL). METHODS: Consecutive cardiac inpatients were recruited. In all patients a 12-lead ECG, ACK lead I and NPL were obtained. Two experienced electrophysiologists were blinded and separately evaluated all ECG. We calculated sensitivity, specificity, and predictive values of the ACK ECG compared to the 12-lead ECG. RESULTS: 296 ECG from 99 patients (38 female, age 64 ± 15 years, BMI 27.8 ± 5.1 kg/m2) were analyzed. 20% of ACK lead I recordings contained a critical amount of artifact. The electrophysiologists' interpretation of the ACK recordings yielded a sensitivity of 100% and specificity of 94% for atrial fibrillation or flutter in lead I (κ = 0.90) and a sensitivity of 96% and specificity of 97% in the NPL (κ = 0.92). The ACK diagnostic algorithm displayed a significantly lower sensitivity (55-70%), specificity (60-69%), and accuracy (κ = 0.4-0.53) but a high negative predictive value (100%). Patients with atrial flutter (n = 5) and with ventricular stimulation (n = 12) had a high likelihood of being misclassified by the algorithm. CONCLUSION: The AliveCor Kardia ECG monitor allows a highly accurate detection of atrial fibrillation by an interpreting electrophysiologist both in the standard lead I and a novel parasternal lead. The diagnostic algorithm offered by the system may be useful in screening recordings for further review. Diagnostic challenges present in atrial flutter and ventricular pacemaker stimulation.
Authors: Felix K Wegner; Simon Kochhäuser; Gerrit Frommeyer; Philipp S Lange; Christian Ellermann; Patrick Leitz; Patrick Müller; Julia Köbe; Lars Eckardt; Dirk G Dechering Journal: Clin Res Cardiol Date: 2021-05-07 Impact factor: 5.460
Authors: Bradley M Pitman; Sok-Hui Chew; Christopher X Wong; Amenah Jaghoori; Shinsuke Iwai; Gijo Thomas; Andrew Chew; Prashanthan Sanders; Dennis H Lau Journal: JMIR Mhealth Uhealth Date: 2021-05-19 Impact factor: 4.773