Affiliation:
1. Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, and National Taiwan University College of Medicine, Yun-Lin Branch, Douliu City, Yunlin County
2. R&D Software Department, AViTA Corporation, Taipei, Taiwan
Abstract
Background
Atrial fibrillation (AF) is a stroke and heart complication riskbut is often overlooked due to subtle symptoms. The accessibility of sphygmomanometers that can detect AF, may play crucial roles in identifying asymptomatic patients. AViTA BPM63B is an automatic blood pressure (BP) monitor for atrial fibrillation detection. This study validated the performance of BPM63B for AF detection using two novel algorithms of time-domain analysis and frequency-domain analysis which evaluate multiple statistics.
Methods
The study included 100 subject, with 47 participants being male (47%) and ages ranging from 24 to 89 years (mean ± SD: 59 ± 17 years). Each participant received three consecutive readings from the subject device and a 12-lead ECG assessment. The pulse wave data from subject device was analyzed using the two algorithms. The atrial fibrillation status thus determined was compared to the ECG results interpreted by a physician.
Results
Among the 100 participants, 52 patients had chronic atrial fibrillation, along with 48 outpatients exhibiting sinus rhythm or non-atrial fibrillation arrhythmias. Using the time-domain analysis method for atrial fibrillation detection, we achieved a sensitivity of 94.8% [95% confidence interval (CI), 90.08–97.75%] and a specificity of 98.6% (95% CI, 95.07–99.83%). Similarly, utilizing the frequency-domain analysis method resulted in a sensitivity of 91.6% (95% CI, 86.08–95.46%) and specificity of 94.4% (95% CI, 89.35–97.57%).
Conclusions
These findings suggest that AViTA BPM63B, which integrates two novel algorithms for atrial fibrillation diagnosis, demonstrates high sensitivity and specificity. Utilizing the AViTA BPM63B for BP monitoring could aid in the early detection of atrial fibrillation among outpatients in cardiology clinics.
Funder
Conventional Industry Technology Development
Publisher
Ovid Technologies (Wolters Kluwer Health)