• Medicina clinica · Oct 2024

    Multicenter Study

    External validation of the FAscore scale to evaluate the risk of atrial fibrillation in patients with arterial hypertension.

    • Luis Mújica-Jauregui, Vicente Bertomeu-González, Álvaro Carbonell-Soliva, Domingo Orozco-Beltrán, Vicente F Gil-Guillén, Rauf Nouni-García, Adriana López-Pineda, Concepción Carratalá-Munuera, and Jose A Quesada.
    • Albía Health Center, Osakidetza, Bilbao, Spain.
    • Med Clin (Barc). 2024 Oct 25; 163 (8): 397403397-403.

    Background And AimTo use a risk scale or predictive model outside the population of origin, it is necessary to evaluate the predictive indicators through external validation. The aim was to validate the FAscore, originally constructed in hypertensive patients in primary care in the Valencian Region, in an external cohort with hypertension in primary care in the Basque Country.MethodsA retrospective cohort study was designed to perform an external validation of the FAscore app in patients affiliated with 26 health centers in the municipality of Bilbao. The area under the ROC curve and predictive indicators were calculated with their 95% confidence intervals.ResultsThirty-six thousand eight hundred nine patients were included: 53.6% (n=19,719) were women, the mean age was 75.1 years, 41.8% (n=15,381). Over the four-year follow-up period, 1420 patients were diagnosed with AF (cumulative incidence 3.9%). The median risk estimated by FAscore was 4.5%, and the 5th, 25th, 75th, and 95th percentiles were 1.0%, 2.5%, 6.1%, and 14.8%, respectively. The ROC curve for the risk estimated by FAscore and the cases of atrial fibrillation observed was AUC 0.715 (95% CI 0.703-0.727). The 5% risk cutoff provides a sensitivity of 70.8%, specificity of 61.0%, positive predictive value of 6.8%, negative predictive value of 98.1%, and positive and negative likelihood ratios of 1.82 and 0.48, respectively.ConclusionThis study reports on the external validation of the atrial fibrillation risk scale in hypertensive patients, which shows an acceptable predictive capacity. The best-performing risk cutoff, providing good predictive indicators, can be set at 5%.Copyright © 2024 The Author(s). Published by Elsevier España, S.L.U. All rights reserved.

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