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Published on: July 20, 2022
Detection of atrial fibrillation using a modified microlife blood pressure monitor
Joseph Wiesel1, Lorenzo Fitzig, Yehuda Herschman
1Department of Medicine, New York Hospital Queens, Flushing, New York, USA.
Insights
This study shows an automatic blood pressure monitor can accurately detect atrial fibrillation (AF) with high sensitivity and specificity. Early detection of asymptomatic AF through home monitoring may prevent strokes.
Area of Science:
- Cardiology
- Medical Devices
- Public Health
Background:
- Hypertension is a significant risk factor for atrial fibrillation (AF) and AF-related stroke.
- Asymptomatic AF can lead to stroke if undetected and untreated in at-risk individuals.
Purpose of the Study:
- To evaluate the sensitivity and specificity of an automatic oscillometric sphygmomanometer for AF detection.
- To assess the device's ability to reduce false positives from premature beats.
Main Methods:
- 405 unselected outpatients underwent three sequential device readings and one electrocardiogram (EKG).
- An algorithm was integrated into the sphygmomanometer for AF detection.
Main Results:
- Single device readings showed 95% sensitivity and 86% specificity for AF detection.
- Sequential readings improved detection to 97% sensitivity and 89% specificity.
- The device demonstrated high specificity (97%) for patients in sinus rhythm.
Conclusions:
- The automatic sphygmomanometer demonstrates high accuracy in detecting AF.
- Home blood pressure monitoring with this device could facilitate early detection of asymptomatic AF, potentially preventing strokes.
Background:
Hypertension is a major risk factor for the development of atrial fibrillation (AF) and for stroke due to AF. Asymptomatic AF can result in a stroke, in patients with risk factors, if it is not detected and treated appropriately. This study evaluated the sensitivity and specificity of an automatic oscillometric sphygmomanometer designed to detect AF.
Methods:
The sphygmomanometer incorporates an algorithm for detecting AF while reducing false positive readings due to premature beats. A total of 405 unselected outpatients seen in two cardiology offices were evaluated by taking three sequential device readings and one electrocardiogram (EKG) on each patient.
Results:
For detecting AF, the sensitivity was 95% and the specificity 86% with a positive predictive value of 68% and a negative predictive value of 98% for single device readings. For the three sequential device readings grouped together, the sensitivity was 97% and the specificity was 89%. The device correctly categorized most of the non-AF, abnormal rhythms. The specificity for those in sinus rhythm was 97%.
Conclusions:
This device is able to detect AF with high sensitivity and specificity. Use of this device by patients who monitor their blood pressure at home may help detect asymptomatic AF and allow for treatment prior to the development of a stroke.
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