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

Winnie Chua, Christina L. Easter, Eduard Guasch, Alice Sitch, Barbara Casadei, Harry J. G. M. Crijns, Doreen Haase, Stephane Hatem, Stefan Kaab, Lluis Mont, Ulrich Schotten, Moritz F. Sinner, Karla Hemming, Jonathan J. Deeks, Paulus Kirchhof, Larissa Fabritz*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Article number120
Number of pages9
JournalBMC Cardiovascular disorders
Volume19
DOIs
Publication statusPublished - 21 May 2019

Keywords

  • Atrial fibrillation
  • Predictive model
  • Combined database
  • Stratified therapy
  • CATHETER ABLATION
  • RISK-FACTORS
  • FOLLOW-UP
  • LIFETIME RISK
  • MANAGEMENT
  • TERM
  • EVENTS
  • STROKE
  • NUMBER
  • CARDIOVERSION

Cite this

Chua, W., Easter, C. L., Guasch, E., Sitch, A., Casadei, B., Crijns, H. J. G. M., Haase, D., Hatem, S., Kaab, S., Mont, L., Schotten, U., Sinner, M. F., Hemming, K., Deeks, J. J., Kirchhof, P., & Fabritz, L. (2019). Development and external validation of predictive models for prevalent and recurrent atrial fibrillation: a protocol for the analysis of the CATCH ME combined dataset. BMC Cardiovascular disorders, 19, [120]. https://doi.org/10.1186/s12872-019-1105-4