Cargando…
Correct dosing, adherence and persistence of DOACs in atrial fibrillation and chronic kidney disease: a systematic review and meta-analysis
BACKGROUND: Chronic kidney disease (CKD) and atrial fibrillation (AF) are increasing in prevalence globally and share common risk factors. Our aim was to characterise real-world evidence on direct oral anticoagulant (DOAC) prescribing for people with AF and CKD, in terms of adherence, persistence an...
Autores principales: | Emanuel, Subo, Kaba, Riyaz A, Delanerolle, Gayathri, Field, Benjamin C T, Lip, Gregory Y H, de Lusignan, Simon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347456/ https://www.ncbi.nlm.nih.gov/pubmed/37419525 http://dx.doi.org/10.1136/openhrt-2023-002340 |
Ejemplares similares
-
Left atrial strain predicts recurrence of atrial arrhythmias after catheter ablation of persistent atrial fibrillation
por: Parwani, Abdul Shokor, et al.
Publicado: (2017) -
Development and validation of prediction models for incident atrial fibrillation in heart failure
por: Vinter, Nicklas, et al.
Publicado: (2023) -
Electrical energy by electrode placement for cardioversion of atrial fibrillation: a systematic review and meta-analysis
por: Vinter, Nicklas, et al.
Publicado: (2023) -
Future Innovations in Novel Detection for Atrial Fibrillation (FIND-AF): pilot study of an electronic health record machine learning algorithm-guided intervention to identify undiagnosed atrial fibrillation
por: Nadarajah, Ramesh, et al.
Publicado: (2023) -
Role for machine learning in sex-specific prediction of successful electrical cardioversion in atrial fibrillation?
por: Vinter, Nicklas, et al.
Publicado: (2020)