Literature DB >> 19478793

Detection of atrial fibrillation using a modified microlife blood pressure monitor.

Joseph Wiesel1, Lorenzo Fitzig, Yehuda Herschman, Frank C Messineo.   

Abstract

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.

Entities:  

Mesh:

Year:  2009        PMID: 19478793     DOI: 10.1038/ajh.2009.98

Source DB:  PubMed          Journal:  Am J Hypertens        ISSN: 0895-7061            Impact factor:   2.689


  37 in total

1.  Screening for Atrial Fibrillation During Automatic Blood Pressure Measurements.

Authors:  Andrew Lowe; Timothy H Oh; Ralph Stewart
Journal:  IEEE J Transl Eng Health Med       Date:  2018-10-09       Impact factor: 3.316

Review 2.  Silent atrial fibrillation: epidemiology, diagnosis, and clinical impact.

Authors:  Polychronis E Dilaveris; Harold L Kennedy
Journal:  Clin Cardiol       Date:  2017-03-08       Impact factor: 2.882

3.  Validation of a simple method for atrial fibrillation screening in patients with stroke.

Authors:  C Gandolfo; M Balestrino; C Bruno; C Finocchi; N Reale
Journal:  Neurol Sci       Date:  2015-04-30       Impact factor: 3.307

Review 4.  Prediction of stroke risk in atrial fibrillation, prevention of stroke in atrial fibrillation, and the impact of long-term monitoring for detecting atrial fibrillation.

Authors:  George Thomas; Bruce B Lerman
Journal:  Curr Atheroscler Rep       Date:  2011-08       Impact factor: 5.113

5.  2021 ISHNE/HRS/EHRA/APHRS Expert Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia-Pacific Heart Rhythm Society.

Authors:  Niraj Varma; Iwona Cygankiewicz; Mintu P Turakhia; Hein Heidbuchel; Yu-Feng Hu; Lin Yee Chen; Jean-Philippe Couderc; Edmond M Cronin; Jerry D Estep; Lars Grieten; Deirdre A Lane; Reena Mehra; Alex Page; Rod Passman; Jonathan P Piccini; Ewa Piotrowicz; Ryszard Piotrowicz; Pyotr G Platonov; Antonio Luiz Ribeiro; Robert E Rich; Andrea M Russo; David Slotwiner; Jonathan S Steinberg; Emma Svennberg
Journal:  Circ Arrhythm Electrophysiol       Date:  2021-02-12

6.  The involvement of pharmacies in the screening of undiagnosed atrial fibrillation.

Authors:  Pietro Amedeo Modesti; Gianni Donigaglia; Plinio Fabiani; Nicola Mumoli; Andrea Colella; Maria Boddi
Journal:  Intern Emerg Med       Date:  2017-09-19       Impact factor: 3.397

7.  Screening For Atrial Fibrillation In The Community Using A Novel ECG Recorder.

Authors:  Irma Battipaglia; Katrina Gilbert; Andrew J Hogarth; Muzahir H Tayebjee
Journal:  J Atr Fibrillation       Date:  2016-08-31

8.  False detection of atrial fibrillation in children by a blood pressure monitor with atrial fibrillation detection function.

Authors:  Adrian Justin Cheung; Bernard Man Yung Cheung
Journal:  BMJ Case Rep       Date:  2015-01-22

9.  Atrial fibrillation screening during automated blood pressure measurement-Comment on "Diagnostic accuracy of new algorithm to detect atrial fibrillation in a home blood pressure monitor".

Authors:  Yi Chen; Lei Lei; Ji-Guang Wang
Journal:  J Clin Hypertens (Greenwich)       Date:  2017-09-24       Impact factor: 3.738

10.  Accuracy of automated blood pressure measurements in the presence of atrial fibrillation: systematic review and meta-analysis.

Authors:  Christopher E Clark; Sinead T J McDonagh; Richard J McManus
Journal:  J Hum Hypertens       Date:  2019-01-10       Impact factor: 3.012

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