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Smartphone-based atrial fibrillation screening in the general population: feasibility and impact on medical treatment

Title: Smartphone-based atrial fibrillation screening in the general population: feasibility and impact on medical treatment
Authors: GRUWEZ, Henri; VERBRUGGE, Frederik; Proesmans, Tine; Evens, Stijn; Vanacker, Peter; Rutgers, Matthieu Pierre; Vanhooren, Geert; BERTRAND, Philippe; PISON, Laurent; Haemers , Peter; VANDERVOORT, Pieter; NUYENS, Dieter
Contributors: Haemers, Peter/0000-0002-3024-1281; Gruwez, Henri/0000-0002-9169-265X; GRUWEZ, Henri; VERBRUGGE, Frederik; Proesmans, Tine; Evens, Stijn; Vanacker, Peter; Rutgers, Matthieu Pierre; Vanhooren, Geert; BERTRAND, Philippe; PISON, Laurent; Haemers , Peter; VANDERVOORT, Pieter; NUYENS, Dieter
Publisher Information: OXFORD UNIV PRESS
Publication Year: 2024
Collection: Document Server@UHasselt (Universiteit Hasselt)
Subject Terms: Atrial fibrillation; Screening; Stroke; Photoplethysmography; Digital health
Description: Aims The aim of this study is to determine the feasibility, detection rate, and therapeutic implications of large-scale smartphone-based screening for atrial fibrillation (AF).Methods and results Subjects from the general population in Belgium were recruited through a media campaign to perform AF screening during 8 consecutive days with a smartphone application. The application analyses photoplethysmography traces with artificial intelligence and offline validation of suspected signals to detect AF. The impact of AF screening on medical therapy was measured through questionnaires. Atrial fibrillation was detected in the screened population (n = 60.629) in 791 subjects (1.3%). From this group, 55% responded to the questionnaire. Clinical AF [AF confirmed on a surface electrocardiogram (ECG)] was newly diagnosed in 60 individuals and triggered the initiation of anti-thrombotic therapy in 45%, adjustment of rate or rhythm controlling strategies in 62%, and risk factor management in 17%. In subjects diagnosed with known AF before screening, a positive screening result led to these therapy adjustments in 9%, 39%, and 11%, respectively. In all subjects with clinical AF and an indication for oral anti-coagulation (OAC), OAC uptake increased from 56% to 74% with AF screening. Subjects with clinical AF were older with more co-morbidities compared with subclinical AF (no surface ECG confirmation of AF) (P < 0.001). In subjects with subclinical AF (n = 202), therapy adjustments were performed in only 7%.Conclusion Smartphone-based AF screening is feasible at large scale. Screening increased OAC uptake and impacted therapy of both new and previously diagnosed clinical AF but failed to impact risk factor management in subjects with subclinical AF.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: https://hdl.handle.net/1942/42181; 472; 464; 001128473800009
DOI: 10.1093/ehjdh/ztad054
Availability: https://hdl.handle.net/1942/42181; https://doi.org/10.1093/ehjdh/ztad054
Rights: The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com ; info:eu-repo/semantics/openAccess
Accession Number: edsbas.E061742B
Database: BASE