• Josep L Clua-Espuny, Delicia Gentille-Lorente, Alba Hernández-Pinilla, Eva Maria Satué-Gracia, Meritxell Pallejà-Millán, Francisco M Martín-Luján, and PREFATE Study-Group.
• Servicio de Atención Primaria Terres de l'Ebre. Institut Català de la Salut. CAP Temple, Tortosa, España. Electronic address: jlclua.ebre.ics@gencat.cat.
• Aten Primaria. 2024 Sep 11; 57 (1): 103071103071.

ObjectiveTo assess the association between electrocardiogram (ECG) patterns according to the MVP ECG risk score (morphology-voltage-P-wave duration) and a diagnosis of Atrial Fibrillation (AF).DesignProspective observational cohort study (1/01/2023-31/12/2024). SITE: Primary care.ParticipantsRandomized sample of 150 patients aged 65-85 years without prior diagnosis of AF, stroke, or current anticoagulant treatment; high risk of future AF; CHA2DS2-VASc ≥2; and ability to use the FibricheckR application (App).MeasurementsAt baseline, a standard ECG, MVP risk score assessment, and cardiac rhythm monitoring for 15 days using the FibricheckR App were performed. The dependent variables were the presence of P-wave patterns on the electrocardiogram according to MVP risk score and a new diagnosis of AF.ResultsThe diagnosis of AF was confirmed in 14 cases (9.3%, 95% CI 5.6-15.1), 3 men and 11 women. In 3 cases, the arrhythmia was diagnosed on the baseline ECG, and in 11 cases by Holter after being reported as possible AF by the FibricheckR App. A higher prevalence of atypical advanced interatrial block (A-AIB) (p 0.007) was detected among participants with AF, as well as the prevalence of P-wave <0.1mV. (p=0.006). All new diagnoses of AF were made at scores ≥4 in the MVP risk score.ConclusionsUsing scales for identifying ECG patterns in high-risk subjects in primary care can facilitate the diagnosis of unknown AF.Copyright © 2024 The Author(s). Publicado por Elsevier España S.L.U. All rights reserved.

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