{"title":"A clinical validation of AViTA home blood pressure monitor for atrial fibrillation detection in adults.","authors":"Fu-Chun Chiu, I-Chih Huang","doi":"10.1097/MBP.0000000000000723","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Atrial fibrillation (AF) is a stroke and heart complication risk but 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.</p><p><strong>Methods: </strong>The study included 100 participants, 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.</p><p><strong>Results: </strong>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%).</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":8950,"journal":{"name":"Blood Pressure Monitoring","volume":" ","pages":"299-304"},"PeriodicalIF":1.2000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11524633/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Blood Pressure Monitoring","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/MBP.0000000000000723","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/20 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"PERIPHERAL VASCULAR DISEASE","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Atrial fibrillation (AF) is a stroke and heart complication risk but 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 participants, 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.
期刊介绍:
Blood Pressure Monitoring is devoted to original research in blood pressure measurement and blood pressure variability. It includes device technology, analytical methodology of blood pressure over time and its variability, clinical trials - including, but not limited to, pharmacology - involving blood pressure monitoring, blood pressure reactivity, patient evaluation, and outcomes and effectiveness research.
This innovative journal contains papers dealing with all aspects of manual, automated, and ambulatory monitoring. Basic and clinical science papers are considered although the emphasis is on clinical medicine.
Submitted articles undergo a preliminary review by the editor. Some articles may be returned to authors without further consideration. Those being considered for publication will undergo further assessment and peer-review by the editors and those invited to do so from a reviewer pool.