Development and external validation of predictive models for prevalent and recurrent atrial fibrillation: a protocol for the analysis of the CATCH ME combined dataset

Development and external validation of predictive models for prevalent and recurrent atrial fibrillation: a protocol for the analysis of the CATCH ME combined dataset

Abstract Background Atrial fibrillation (AF) is caused by different mechanisms but current treatment strategies do not target these mechanisms. Stratified therapy based on mechanistic drivers and biomarkers of AF have the potential to improve AF prevention and management outcomes. We will integrate...

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Bibliographic Details
Main Authors: Winnie Chua, Christina L. Easter, Eduard Guasch, Alice Sitch, Barbara Casadei, Harry J. G. M. Crijns, Doreen Haase, Stéphane Hatem, Stefan Kääb, Lluis Mont, Ulrich Schotten, Moritz F. Sinner, Karla Hemming, Jonathan J. Deeks, Paulus Kirchhof, Larissa Fabritz
Format: Article
Language:English
Published: BMC 2019-05-01
Series:BMC Cardiovascular Disorders
Subjects:
Atrial fibrillation
Predictive model
Combined database
Stratified therapy
Online Access:http://link.springer.com/article/10.1186/s12872-019-1105-4

Internet

http://link.springer.com/article/10.1186/s12872-019-1105-4

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