0546972 - ÚI 2022 RIV CH eng J - Journal Article
Bohm, A. - Snopek, P. - Tothová, L. - Bezák, B. - Jajcay, Nikola - Vachalcová, M. - Uher, T. - Kurečko, M. - Kissová, V. - Daňová, K. - Olejník, P. - Michalek, P. - Hlavatá, T. - Petríková, K. - Mojto, V. - Kyselovič, J. - Farský, Š.
Association Between Apelin and Atrial Fibrillation in Patients With High Risk of Ischemic Stroke.
Frontiers in Cardiovascular Medicine. Roč. 8, October 2021 (2021), č. článku 742601. E-ISSN 2297-055X
Institutional support: RVO:67985807
Keywords : trial fibrillation * apelin * biomarker * electrical atrial remodeling * ischemic stroke
OECD category: Cardiac and Cardiovascular systems
Impact factor: 5.848, year: 2021
Method of publishing: Open access
http://dx.doi.org/10.3389/fcvm.2021.742601

BACKGROUND: Atrial fibrillation (AF) is associated with high risk of stroke preventable by timely initiation of anticoagulation. Currently available screening tools based on ECG are not optimal due to inconvenience and high costs. Aim of this study was to study the diagnostic value of apelin for AF in patients with high risk of stroke. METHODS: We designed a multicenter, matched-cohort study. The population consisted of three study groups: a healthy control group (34 patients) and two matched groups of 60 patients with high risk of stroke (AF and non-AF group). Apelin levels were examined from peripheral blood. RESULTS: Apelin was significantly lower in AF group compared to non-AF group (0.694 ± 0.148 vs. 0.975 ± 0.458 ng/ml, p = 0.001) and control group (0.982 ± 0.060 ng/ml, p < 0.001), respectively. Receiver operating characteristic (ROC) analysis of apelin as a predictor of AF scored area under the curve (AUC) of 0.658. Apelin's concentration of 0.969 [ng/ml] had sensitivity = 0.966 and specificity = 0.467. Logistic regression based on manual feature selection showed that only apelin and NT-proBNP were independent predictors of AF. Logistic regression based on selection from bivariate analysis showed that only apelin was an independent predictor of AF. A logistic regression model using repeated stratified K-Fold cross-validation strategy scored an AUC of 0.725 ± 0.131. CONCLUSIONS: Our results suggest that apelin might be used to rule out AF in patients with high risk of stroke.
Permanent Link: http://hdl.handle.net/11104/0323481