Literature DB >> 25926072

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

C Gandolfo1, M Balestrino, C Bruno, C Finocchi, N Reale.   

Abstract

Atrial fibrillation (AF) is the most common cardiac arrhythmia in adult and old people and represents a risk factor for stroke. Correct AF individuation bears strong relevance in primary and secondary stroke prevention. Our goal was to evaluate the reliability of a low-cost, non-invasive technology in detecting AF in acute stroke patients. AFib model BP3MQ1-2D (Microlife USA, Dunedin, FL) showed good accuracy in diagnosing AF in a general cardiologic outpatient population. We carried out an observational study in patients with recent stroke. We studied 207 subjects, 103 men, 104 women, mean age (±SD) 77.7 ± 11.34 years, who underwent a test by AFib device with indication of AF or lack of it. The golden standard was a 12-lead EKG done immediately and evaluated by a certified cardiologist. We computed estimates of Sensitivity and Specificity and their 95 % confidence intervals (CI). AF was present in 38 subjects from the sample of 207 (18.4 %). AFib correctly demonstrated AF in 34 and failed diagnosing AF in 4 cases; on the other hand, AFib correctly excluded AF in 167 and caused an erroneous diagnosis of AF in 2 cases. The Sensitivity was 0.895 (95 % CI 0.7597-0.958) and the Specificity was 0.988 (95 % CI 0.958-0.997). The AFib device global accuracy was 0.971 (95 % CI 0.938-0.987). This device was able to detect AF with high specificity and a good sensitivity. This device may be considered as an accurate tool in detecting AF in stroke patients.

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Year:  2015        PMID: 25926072     DOI: 10.1007/s10072-015-2231-0

Source DB:  PubMed          Journal:  Neurol Sci        ISSN: 1590-1874            Impact factor:   3.307


  21 in total

1.  Secular trends in incidence of atrial fibrillation in Olmsted County, Minnesota, 1980 to 2000, and implications on the projections for future prevalence.

Authors:  Yoko Miyasaka; Marion E Barnes; Bernard J Gersh; Stephen S Cha; Kent R Bailey; Walter P Abhayaratna; James B Seward; Teresa S M Tsang
Journal:  Circulation       Date:  2006-07-03       Impact factor: 29.690

Review 2.  Applicability of stroke-unit care to low-income and middle-income countries.

Authors:  Peter Langhorne; Linda de Villiers; Jeyaraj Durai Pandian
Journal:  Lancet Neurol       Date:  2012-03-19       Impact factor: 44.182

3.  2012 focused update of the ESC Guidelines for the management of atrial fibrillation: an update of the 2010 ESC Guidelines for the management of atrial fibrillation--developed with the special contribution of the European Heart Rhythm Association.

Authors:  A John Camm; Gregory Y H Lip; Raffaele De Caterina; Irene Savelieva; Dan Atar; Stefan H Hohnloser; Gerhard Hindricks; Paulus Kirchhof
Journal:  Europace       Date:  2012-08-24       Impact factor: 5.214

4.  iPhone ECG application for community screening to detect silent atrial fibrillation: a novel technology to prevent stroke.

Authors:  Jerrett K Lau; Nicole Lowres; Lis Neubeck; David B Brieger; Raymond W Sy; Connor D Galloway; David E Albert; Saul B Freedman
Journal:  Int J Cardiol       Date:  2013-03-07       Impact factor: 4.164

5.  Atrial fibrillation as a predictive factor for severe stroke and early death in 15,831 patients with acute ischaemic stroke.

Authors:  K Kimura; K Minematsu; T Yamaguchi
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-05       Impact factor: 10.154

6.  A novel application for the detection of an irregular pulse using an iPhone 4S in patients with atrial fibrillation.

Authors:  David D McManus; Jinseok Lee; Oscar Maitas; Nada Esa; Rahul Pidikiti; Alex Carlucci; Josephine Harrington; Eric Mick; Ki H Chon
Journal:  Heart Rhythm       Date:  2012-12-06       Impact factor: 6.343

7.  Stroke due to atrial fibrillation and the attitude to prescribing anticoagulant prevention in Italy. A prospective study of a consecutive stroke population admitted to a comprehensive stroke unit.

Authors:  C Gandolfo; M Balestrino; A Burrone; M Del Sette; C Finocchi
Journal:  J Neurol       Date:  2008-06-20       Impact factor: 4.849

8.  Dabigatran versus warfarin in patients with atrial fibrillation.

Authors:  Stuart J Connolly; Michael D Ezekowitz; Salim Yusuf; John Eikelboom; Jonas Oldgren; Amit Parekh; Janice Pogue; Paul A Reilly; Ellison Themeles; Jeanne Varrone; Susan Wang; Marco Alings; Denis Xavier; Jun Zhu; Rafael Diaz; Basil S Lewis; Harald Darius; Hans-Christoph Diener; Campbell D Joyner; Lars Wallentin
Journal:  N Engl J Med       Date:  2009-08-30       Impact factor: 91.245

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

Authors:  Joseph Wiesel; Lorenzo Fitzig; Yehuda Herschman; Frank C Messineo
Journal:  Am J Hypertens       Date:  2009-05-28       Impact factor: 2.689

10.  The use of a modified sphygmomanometer to detect atrial fibrillation in outpatients.

Authors:  Joseph Wiesel; David Wiesel; Ranjit Suri; Frank C Messineo
Journal:  Pacing Clin Electrophysiol       Date:  2004-05       Impact factor: 1.976

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  9 in total

1.  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

2.  2021 ISHNE/HRS/EHRA/APHRS 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; Yufeng 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:  Cardiovasc Digit Health J       Date:  2021-01-29

3.  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

4.  Blood Pressure in Patients With Atrial Fibrillation: Part 1--Measurement.

Authors:  Debbie L Cohen; Raymond R Townsend
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5.  Diagnostic performance of an automatic blood pressure measurement device, Microlife WatchBP Home A, for atrial fibrillation screening in a real-world primary care setting.

Authors:  Pak-Hei Chan; Chun-Ka Wong; Louise Pun; Yu-Fai Wong; Michelle Man-Ying Wong; Daniel Wai-Sing Chu; Chung-Wah Siu
Journal:  BMJ Open       Date:  2017-06-15       Impact factor: 2.692

6.  Rationale and design of the screening of pulmonary hypertension in systemic lupus erythematosus (SOPHIE) study.

Authors:  Duo Huang; Yang-Yang Cheng; Pak-Hei Chan; Jojo Hai; Kai-Hang Yiu; Hung-Fat Tse; Ka-Lam Wong; Katherine Fan; Ying Wah Li; Woon-Leung Ng; Cheuk-Wan Yim; Cheuk-Hon John Wong; Lai-Shan Tam; Priscilla C H Wong; Chi-Yuen Wong; Chup-Hei Ho; Alexander M H Leung; Chi-Chiu Mok; Ho Lam; Chak-Sing Lau; Tommy Cheung; Carmen Ho; Sharon W Y Law; Esther W Chan; Li-Xue Yin; Wen-Sheng Yue; Toi Meng Mok; Mario Alberto Evora; Chung-Wah Siu
Journal:  ERJ Open Res       Date:  2018-03-06

7.  Sensitivity and specificity of automated blood pressure devices to detect atrial fibrillation: A systematic review and meta-analysis of diagnostic accuracy.

Authors:  Edmond W L Tang; Benjamin H K Yip; Chun-Pong Yu; Samuel Y S Wong; Eric K P Lee
Journal:  Front Cardiovasc Med       Date:  2022-08-12

8.  Diagnostic accuracy of a new algorithm to detect atrial fibrillation in a home blood pressure monitor.

Authors:  Tomoyuki Kabutoya; Yasushi Imai; Satoshi Hoshide; Kazuomi Kario
Journal:  J Clin Hypertens (Greenwich)       Date:  2017-09-01       Impact factor: 3.738

9.  Opportunistic screening of atrial fibrillation by automatic blood pressure measurement in the community.

Authors:  Stefano Omboni; Willem J Verberk
Journal:  BMJ Open       Date:  2016-04-12       Impact factor: 2.692

  9 in total

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