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Supermarket/Hypermarket Opportunistic Screening for Atrial Fibrillation (SHOPS-AF) using sensors embedded in the handles of supermarket trolleys: A feasibility study

Jones, ID, Lane, DA, Lotto, R, Oxborough, D, Neubeck, L, Penson, P, Johnston Smith, E, Santos, A, McGinn, EE, Ajiboye, A, Town, N, Czanner, G, Shaw, A, El-Masr, H and Lip, GYH (2024) Supermarket/Hypermarket Opportunistic Screening for Atrial Fibrillation (SHOPS-AF) using sensors embedded in the handles of supermarket trolleys: A feasibility study. American Heart Journal, 271. pp. 164-177. ISSN 0002-8703

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Background Atrial fibrillation (AF) increases the risk of death, stroke, heart failure, cognitive decline, and healthcare costs but is often asymptomatic and undiagnosed. There is currently no national screening programme for AF. The advent of validated hand-held devices allows AF to be detected in non-healthcare settings, enabling screening to be undertaken within the community. Method and Results In this novel observational study, we embedded a MyDiagnostick single lead ECG sensor into the handles of shopping trolleys in four supermarkets in the Northwest of England: 2155 participants were recruited. Of these, 231 participants either activated the sensor or had an irregular pulse, suggesting AF. Some participants agreed to use the sensor but refused to provide their contact details, or consent to pulse assessment. In addition, some data were missing, resulting in 203 participants being included in the final analyses. Fifty-nine participants (mean age 73.6 years, 43% female) were confirmed or suspected of having AF; 20 were known to have AF and 39 were previously undiagnosed. There was no evidence of AF in 115 participants and the remaining 46 recordings were non-diagnostic, mainly due to artefact. Men and older participants were significantly more likely to have newly diagnosed AF. Due to the number of non-diagnostic ECGs (n=46), we completed three levels of analyses, excluding all non-diagnostic ECGs, assuming all non-diagnostic ECGs were masking AF, and assuming all non-diagnostic ECGs were not AF. Based on the results of the three analyses, the sensor’s sensitivity (95% CI) ranged from 0.70 - 0.93; specificity from 0.15 - 0.97; positive predictive values (PPV) and negative predictive values (NPV) ranged from 0.24 - 0.56 and 0.55-1.00, respectively. These values should be interpreted with caution, as the ideal reference standard on 1934 participants was imperfect. onclusion The study demonstrates that the public will engage with AF screening undertaken as part of their daily routines using hand-held devices. Sensors can play a key role in identifying asymptomatic patients in this way, but the technology must be further developed to reduce the quantity of non-diagnostic ECGs.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RA Public aspects of medicine
T Technology > T Technology (General)
Divisions: Civil Engineering & Built Environment
Computer Science & Mathematics
Nursing & Allied Health
Pharmacy & Biomolecular Sciences
Sport & Exercise Sciences
Publisher: Elsevier
SWORD Depositor: A Symplectic
Date Deposited: 27 Feb 2024 16:13
Last Modified: 11 Apr 2024 14:15
DOI or ID number: 10.1016/j.ahj.2024.02.011
URI: https://researchonline.ljmu.ac.uk/id/eprint/22649
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