Accuracy of Smartwatch Electrocardiographic Recording in the Acute Coronary Syndrome Setting: Rationale and Design of the ACS WATCH II Study

Author:

Buelga Suárez Mauro123,Pascual Izco Marina45,García Montalvo Jesús12,Alonso Salinas Gonzalo Luis678ORCID

Affiliation:

1. Cardiology Department, Hospital Universitario Ramón y Cajal, 28034 Madrid, Spain

2. Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), 28034 Madrid, Spain

3. Nursing and Physiotherapy Department, Universidad de Alcalá, 28805 Alcalá de Henares, Spain

4. Cardiology Department, Clínica Universidad de Navarra (CUN), 31008 Pamplona, Spain

5. Cardiology and Cardiovascular Surgery Department, Universidad de Navarra, 31006 Pamplona, Spain

6. Cardiology Department, Hospital Universitario de Navarra (HUN-NOU), Calle de Irunlarrea, 3, 31008 Pamplona, Spain

7. Navarrabiomed (Miguel Servet Foundation), IdiSNA, 31008 Pamplona, Spain

8. Heath Sciences Department, Universidad Pública de Navarra (UPNA-NUP), 31006 Pamplona, Spain

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.

Publisher

MDPI AG

Subject

General Medicine

Reference8 articles.

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