Abstract

BACKGROUND: Atrial fibrillation (AF) is the leading cause of stroke. The European Society of Cardiology
(ESC) advises opportunistic AF screening among patients aged ≥ 65 years. Considering this, the
aim herein, was compare the feasibility of two different systems of smartphone-based electrocardiogram
(ECG) recordings to identify AF among those without a previous arrhythmia history.
METHODS: Prospective AF screening was conducted at six pharmacies using Kardia Mobile and
Hartmann Veroval 2 in 1. A single-lead ECG was acquired by the placement of fingers on the pads.
A cardiologist evaluated findings from both devices.
RESULTS: Atrial fibrillation was identified in 3.60% and previously unknown AF was detected in 1.92%
of the study participants. Sensitivity and specificity of the Kardia application in detecting AF were
66.7% (95% confidence interval [CI] 38.4–88.2%) and 98.5% (95% CI 96.7–99.5%), and for Veroval
10.0% (95% CI 0.23–44.5%) and 94.96% (95% CI 92.15–96.98%), accordingly. Inter-rater agreement
was k = 0.088 (95% CI 1.59–16.1%).
CONCLUSIONS: Mobile devices can detect AF, but each finding must be verified by a professional. The
Kardia application appeared to be more user-friendly than Veroval. Cardiovascular screening using
mobile devices is feasible at pharmacies. Hence it might be considered for routine use.

Details

Title
The comparison of Kardia Mobile and Hartmann Veroval 2 in 1 in detecting first diagnosed atrial fibrillation
Author
Zaprutko, Tomasz 1   VIAFID ORCID Logo  ; Zaprutko, Joanna 2 ; Sprawka, Józefina 3 ; Pogodzińska, Monika 3 ; Michalak, Michał 4 ; Paczkowska, Anna 5 ; Kus, Krzysztof 2 ; Nowakowska, Elżbieta 6 ; Baszko, Artur 2 

 Department of Pharmacoeconomics and Social Pharmacy, Poznan University of Medical Sciences, Poznan, Poland. [email protected] 
 Second Department of Cardiology, Poznan University of Medical Sciences, HCP Medical Center, Poznan, Poland 
 Student Scientific Society, Department of Pharmacoeconomics and Social Pharmacy, Poznan University of Medical Sciences, Poznan, Poland 
 Department of Computer Sciences and Statistics, Poznan University of Medical Sciences, Poznan, Poland 
 Department of Pharmacoeconomics and Social Pharmacy, Poznan University of Medical Sciences, Poznan, Poland 
 Department of Pharmacology and Toxicology, University of Zielona Gora, Poland 
First page
762
End page
770
Publication year
2023
Publication date
2023
Publisher
Wydawnictwo Via Medica
ISSN
18975593
e-ISSN
1898018X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2886498555
Copyright
© 2023. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.