P4796Risk prediction of atrial fibrillation in the community combining biomarkers and genetics
| Autor: | C Boerschel, Tarja Palosaari, Veikko Salomaa, Stefan Blankenberg, B Geelhoed, A. Ohlrogge, Tanja Zeller, Renate B. Schnabel, Teemu J. Niiranen, Aki S. Havulinna |
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| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | European Heart Journal. 40 |
| ISSN: | 1522-9645 0195-668X |
| DOI: | 10.1093/eurheartj/ehz745.1172 |
| Popis: | Background Classical cardiovascular risk factors (CVRF), biomarkers and genetic variation have been suggested for risk assessment of atrial fibrillation (AF). Purpose To evaluate their clinical potential, we analysed their individual and combined effectiveness in AF prediction. Methods In N=6945 individuals of the FINRISK 1997 cohort, we assessed the predictive value of CVRF, N-terminal pro B-type natriuretic peptide (NT-proBNP) and 145 recently identified single nucleotide polymorphisms (SNPs) for incident AF. Results Over a median follow-up of 17.8 years, N=551 participants (7.9%) developed AF. In multivariable-adjusted Cox proportional hazard models, NT-proBNP (hazard ratio (HR) per standard deviation (SD) 1.90, 95% confidence interval (CI): 1.71–2.11, P C-Index for AF prediction Conclusions The PRS and the established biomarker NT-proBNP predicted incident AF comparably. Both provided incremental predictive value over standard clinical variables. Further improvements for the PRS are likely with the discovery of additional SNPs. Acknowledgement/Funding European Research Council, German Ministry of Research and Education, DZHK, European Union Seventh Framework Programme, CHANCES, THL |
| Databáze: | OpenAIRE |
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