Sociodemographic determinants of oral anticoagulant prescription in patients with atrial fibrillations: findings from the PINNACLE registry using machine learning

BACKGROUND: Current risk scores that are solely based on clinical factors have shown modest predictive ability for understanding of factors associated with gaps in real-world prescription of oral anticoagulation (OAC) in patients with atrial fibrillation (AF). OBJECTIVE: In this study, we sought to...

Descripción completa

Detalles Bibliográficos
Autores principales: Azizi, Zahra, Ward, Andrew T., Lee, Donghyun J., Gad, Sanchit S., Bhasin, Kanchan, Beetel, Robert J., Ferreira, Tiago, Shankar, Sushant, Rumsfeld, John S., Harrington, Robert A., Virani, Salim S., Gluckman, Ty J., Dash, Rajesh, Rodriguez, Fatima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Clinical
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10041076/
https://www.ncbi.nlm.nih.gov/pubmed/36993910
http://dx.doi.org/10.1016/j.hroo.2022.11.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10041076/
https://www.ncbi.nlm.nih.gov/pubmed/36993910
http://dx.doi.org/10.1016/j.hroo.2022.11.004

Ejemplares similares