Clua-Espuny JL, Gentille-Lorente D, Hernández-Pinilla A, Satué-Gracia EM, Pallejà-Millán M, Martín-Luján FM. [MVP Risk score and new atrial fibrillation diagnosis: Prospective cohort PREFATE study].
Aten Primaria 2024;
57:103071. [PMID:
39265318 DOI:
10.1016/j.aprim.2024.103071]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 07/04/2024] [Accepted: 07/08/2024] [Indexed: 09/14/2024] Open
Abstract
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 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 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.
CONCLUSIONS
Using scales for identifying ECG patterns in high-risk subjects in primary care can facilitate the diagnosis of unknown AF.
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