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Accuracy of Smartwatch Electrocardiographic Recording in the Acute Coronary Syndrome Setting: Rationale and Design of the ACS WATCH II Study.
Buelga Suárez, Mauro; Pascual Izco, Marina; García Montalvo, Jesús; Alonso Salinas, Gonzalo Luis.
Affiliation
  • Buelga Suárez M; Cardiology Department, Hospital Universitario Ramón y Cajal, 28034 Madrid, Spain.
  • Pascual Izco M; Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), 28034 Madrid, Spain.
  • García Montalvo J; Nursing and Physiotherapy Department, Universidad de Alcalá, 28805 Alcalá de Henares, Spain.
  • Alonso Salinas GL; Cardiology Department, Clínica Universidad de Navarra (CUN), 31008 Pamplona, Spain.
J Clin Med ; 13(2)2024 Jan 10.
Article in En | MEDLINE | ID: mdl-38256523
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Risk_factors_studies Language: En Journal: J Clin Med Year: 2024 Document type: Article Affiliation country: Spain Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Risk_factors_studies Language: En Journal: J Clin Med Year: 2024 Document type: Article Affiliation country: Spain Country of publication: Switzerland