Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/239510
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | B‐type natriuretic peptide over N‐terminal pro‐brain natriuretic peptide to predict incident atrial fibrillation after cryptogenic stroke |
Autor: | Palà, Elena; Pagola, Jorge; Juega, Jesús; Francisco‐Pascual, Jaume; Bustamante, Alejandro; Penalba, Anna; Comas, I.; Rodríguez, M.; Lera Alfonso, Mercedes de; Arenillas, Juan F.; Torres, Reyes de; Pérez-Sánchez, Soledad CSIC ORCID; Cabezas, Juan A. CSIC ORCID; Moniche, Francisco CSIC ORCID; González-Alujas, Teresa; Molina, Carlos A.; Montaner, Joan CSIC ORCID | Palabras clave: | Atrial fibrillation Biomarkers BNP Cryptogenic stroke NT‐proBNP |
Fecha de publicación: | feb-2021 | Editor: | John Wiley & Sons | Citación: | European Journal of Neurology 28(2): 540-547 (2021) | Resumen: | [Background and purpose] B‐type natriuretic peptide (BNP) and N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) are well‐known surrogates of atrial fibrillation (AF) detection but studies usually present data on either BNP or NT‐proBNP. The aim was to determine and directly compare the validity of the two biomarkers as a tool to predict AF and guide prolonged cardiac monitoring in cryptogenic stroke patients. [Methods] Non‐lacunar acute ischaemic stroke (<72 h) patients over 55 years of age with cryptogenic stroke after standard evaluation were included in the Crypto‐AF study and blood was collected. BNP and NT‐proBNP levels were determined by automated immunoassays. AF was assessed by 28 days’ monitoring. Highest (optimizing specificity) and lowest (optimizing sensitivity) quartiles were used as biomarker cut‐offs to build predictive models adjusted by sex and age. The integrated discrimination improvement index (IDI) and DeLong test were used to compare the performance of the two biomarkers. [Results] From 320 patients evaluated, 218 were included in the analysis. AF was detected in 50 patients (22.9%). NT‐proBNP (P < 0.001) and BNP (P < 0.001) levels were higher in subjects with AF and their levels correlated (r = 0.495, P < 0.001). BNP showed an increased area under the curve (0.720 vs. 0.669; P = 0.0218) and a better predictive capacity (IDI = 3.63%, 95% confidence interval 1.36%–5.91%) compared to NT‐proBNP. BNP performed better than NT‐proBNP in a specific model (IDI = 3.7%, 95% confidence interval 0.87%–6.5%), whilst both biomarkers performed similarly in the case of a sensitive model. [Conclusions] Both BNP and NT‐proBNP were increased in cryptogenic stroke patients with AF detection. Interestingly, BNP outperforms NT‐proBNP, especially in terms of specificity. |
Versión del editor: | http://doi.org/10.1111/ene.14579 | URI: | http://hdl.handle.net/10261/239510 | DOI: | 10.1111/ene.14579 | Identificadores: | doi: 10.1111/ene.14579 issn: 1351-5101 e-issn: 1468-1331 |
Aparece en las colecciones: | (IBIS) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
accesoRestringido.pdf | 15,38 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
16
checked on 10-abr-2024
WEB OF SCIENCETM
Citations
16
checked on 25-feb-2024
Page view(s)
57
checked on 18-abr-2024
Download(s)
18
checked on 18-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.