MVP Risk score and new atrial fibrillation diagnosis: Prospective cohort PREFATE study

Identificador: imarina:9384548

Handle: https://hdl.handle.net/20.500.11797/imarina9384548

Autors:
Clua-Espuny, Josep LGentille-Lorente, DeliciaHernandez-Pinilla, AlbaSatue-Gracia, Eva MariaPalleja-Millan, MeritxellMartin-Lujan, Francisco M

Resum:
Objective: To 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). Design: Prospective observational cohort study (1/01/2023-31/12/2024). Site: Primary care. Participants: Randomized 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). Measurements: At baseline, a standard ECG, MVP risk score assessment, and cardiac rhythm monitoring for 15 days using the FibricheckR R 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. Results: The 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 R 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 < 0.1 mV. (p = 0.006). All new diagnoses of AF were made at scores > 4 in the MVP risk score. Conclusions: Using scales for identifying ECG patterns in high-risk subjects in primary care can facilitate the diagnosis of unknown AF. (c) 2024 The Author(s). Published by Elsevier Espana, S.L.U. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).