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B‐type natriuretic peptide over N‐terminal pro‐brain natriuretic peptide to predict incident atrial fibrillation after cryptogenic stroke

医学 心房颤动 利钠肽 内科学 置信区间 心脏病学 生物标志物 四分位数 脑利钠肽 冲程(发动机) 心力衰竭 机械工程 生物化学 化学 工程类
作者
Elena Palà,Jorge Pagola,Jesús Juega,Jaume Francisco‐Pascual,Alejandro Bustamante,A. Peñalba,Imma Comas,M. Rodriguez,M. De Lera Alfonso,Juan F. Arenillas,Reyes de Torres,Soledad Pérez-Sánchez,Juan Antonio Cabezas,Francisco Moniche,Teresa González‐Alujas,Carlos A. Molina,Joan Montaner
出处
期刊:European Journal of Neurology [Wiley]
卷期号:28 (2): 540-547 被引量:26
标识
DOI:10.1111/ene.14579
摘要

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.
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