Accuracy of smartwatch electrocardiographic recording in the acute coronary syndrome setting: rationale and design of the ACS WATCH II Study
| dc.contributor.author | Buelga Suárez, Mauro | |
| dc.contributor.author | Pascual Izco, Marina | |
| dc.contributor.author | García Montalvo, Jesús | |
| dc.contributor.author | Alonso Salinas, Gonzalo Luis | |
| dc.contributor.department | Ciencias de la Salud | es_ES |
| dc.contributor.department | Osasun Zientziak | eu |
| dc.date.accessioned | 2024-03-22T11:12:30Z | |
| dc.date.available | 2024-03-22T11:12:30Z | |
| dc.date.issued | 2024 | |
| dc.date.updated | 2024-03-22T10:39:51Z | |
| dc.description.abstract | Background: Acute Coronary Syndrome (ACS), with or without ST-segment elevation, is a major contributor to global mortality and morbidity. Swift diagnosis and treatment are vital for mitigating cardiac damage and improving long-term outcomes. The 12-lead electrocardiogram (ECG) currently serves as the gold standard for diagnosis in ACS with ST-segment elevation and may support the diagnosis in ACS without ST-segment elevation. However, the growing prevalence of smartwatches enables the acquisition of electrocardiographic data without traditional ECG equipment. While smaller studies support smartwatch ECG use, larger-scale validation within ACS remains lacking. The ACS WATCH II study aims to validate smartwatch ECG recordings for ACS. Methods: The primary objective is to validate smartwatch-obtained electrocardiographic data in patients presenting with ACS. Two cohorts of 120 patients each, presenting ACS with and without ST-segment elevation, will be assessed. Smartwatches will capture recordings of leads I, III, and V2 alongside standard ECGs. These leads, chosen due to a 97% ACS diagnosis sensitivity in previous studies, will undergo blind evaluation by two experienced external assessors against conventional ECG. Additionally, a control sample of 60 healthy individuals will be included. Conclusions: ACS WATCH II pioneers large-scale prospective validation of smartwatch ECG recordings in ACS patients. Additionally, it indirectly validates a swift diagnostic approach using three leads (I, III, and V2). This could expedite time-critical ACS diagnoses and simplify access through smartwatch-based diagnosis. | es_ES |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Buelga Suárez, M., Pascual Izco, M., García Montalvo, J., Alonso Salinas, G. L. (2024) Accuracy of smartwatch electrocardiographic recording in the acute coronary syndrome setting: Rationale and design of the ACS WATCH II Study. Journal of Clinical Medicine, 13(2), 1-8. https://doi.org/10.3390/jcm13020389. | es_ES |
| dc.identifier.doi | 10.3390/jcm13020389 | |
| dc.identifier.issn | 2077-0383 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/47762 | |
| dc.language.iso | eng | en |
| dc.publisher | MDPI | en |
| dc.relation.ispartof | Journal of Clinical Medicine (2024), vol. 3, núm. 2 | es_ES |
| dc.relation.publisherversion | https://doi.org/10.3390/jcm13020389 | |
| dc.rights | © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Acute coronary syndrome | en |
| dc.subject | Acute myocardial infarction | en |
| dc.subject | ECG tracing | en |
| dc.subject | Ischemic heart disease | en |
| dc.subject | NSTEMI | en |
| dc.subject | Smartwatch | en |
| dc.subject | STEMI | en |
| dc.title | Accuracy of smartwatch electrocardiographic recording in the acute coronary syndrome setting: rationale and design of the ACS WATCH II Study | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 19594984-6f7d-48a8-88f0-b5e35ccebb77 | |
| relation.isAuthorOfPublication.latestForDiscovery | 19594984-6f7d-48a8-88f0-b5e35ccebb77 |