Bibliographic Details
| Title: |
B‐type natriuretic peptide over N‐terminal pro‐brain natriuretic peptide to predict incident atrial fibrillation after cryptogenic stroke. |
| Authors: |
Palà, E., Pagola, J., Juega, J., Francisco‐Pascual, J., Bustamante, A., Penalba, A., Comas, I., Rodriguez, M., De Lera Alfonso, M., Arenillas, J. F., Torres, R., Pérez‐Sánchez, S., Cabezas, J. A., Moniche, F., González‐Alujas, T., Molina, C. A., Montaner, J. |
| Source: |
European Journal of Neurology; Feb2021, Vol. 28 Issue 2, p540-547, 8p |
| Subject Terms: |
ATRIAL fibrillation, BRAIN natriuretic factor, STROKE, STROKE patients, PREDICTION models, CONFIDENCE intervals |
| Abstract: |
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. [ABSTRACT FROM AUTHOR] |
|
Copyright of European Journal of Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Complementary Index |
