Comparative Effectiveness and Safety Between Apixaban, Dabigatran, Edoxaban, and Rivaroxaban Among Patients With Atrial Fibrillation : A Multinational Population-Based Cohort Study.


Journal

Annals of internal medicine
ISSN: 1539-3704
Titre abrégé: Ann Intern Med
Pays: United States
ID NLM: 0372351

Informations de publication

Date de publication:
11 2022
Historique:
pubmed: 1 11 2022
medline: 18 11 2022
entrez: 31 10 2022
Statut: ppublish

Résumé

Current guidelines recommend using direct oral anticoagulants (DOACs) over warfarin in patients with atrial fibrillation (AF), but head-to-head trial data do not exist to guide the choice of DOAC. To do a large-scale comparison between all DOACs (apixaban, dabigatran, edoxaban, and rivaroxaban) in routine clinical practice. Multinational population-based cohort study. Five standardized electronic health care databases, which covered 221 million people in France, Germany, the United Kingdom, and the United States. Patients who were newly diagnosed with AF from 2010 through 2019 and received a new DOAC prescription. Database-specific hazard ratios (HRs) of ischemic stroke or systemic embolism, intracranial hemorrhage (ICH), gastrointestinal bleeding (GIB), and all-cause mortality between DOACs were estimated using a Cox regression model stratified by propensity score and pooled using a random-effects model. A total of 527 226 new DOAC users met the inclusion criteria (apixaban, Residual confounding is possible. Among patients with AF, apixaban use was associated with lower risk for GIB and similar rates of ischemic stroke or systemic embolism, ICH, and all-cause mortality compared with dabigatran, edoxaban, and rivaroxaban. This finding was consistent for patients aged 80 years or older and those with chronic kidney disease, who are often underrepresented in clinical trials. None.

Sections du résumé

BACKGROUND
Current guidelines recommend using direct oral anticoagulants (DOACs) over warfarin in patients with atrial fibrillation (AF), but head-to-head trial data do not exist to guide the choice of DOAC.
OBJECTIVE
To do a large-scale comparison between all DOACs (apixaban, dabigatran, edoxaban, and rivaroxaban) in routine clinical practice.
DESIGN
Multinational population-based cohort study.
SETTING
Five standardized electronic health care databases, which covered 221 million people in France, Germany, the United Kingdom, and the United States.
PARTICIPANTS
Patients who were newly diagnosed with AF from 2010 through 2019 and received a new DOAC prescription.
MEASUREMENTS
Database-specific hazard ratios (HRs) of ischemic stroke or systemic embolism, intracranial hemorrhage (ICH), gastrointestinal bleeding (GIB), and all-cause mortality between DOACs were estimated using a Cox regression model stratified by propensity score and pooled using a random-effects model.
RESULTS
A total of 527 226 new DOAC users met the inclusion criteria (apixaban,
LIMITATION
Residual confounding is possible.
CONCLUSION
Among patients with AF, apixaban use was associated with lower risk for GIB and similar rates of ischemic stroke or systemic embolism, ICH, and all-cause mortality compared with dabigatran, edoxaban, and rivaroxaban. This finding was consistent for patients aged 80 years or older and those with chronic kidney disease, who are often underrepresented in clinical trials.
PRIMARY FUNDING SOURCE
None.

Identifiants

pubmed: 36315950
doi: 10.7326/M22-0511
doi:

Substances chimiques

Anticoagulants 0
apixaban 3Z9Y7UWC1J
Dabigatran I0VM4M70GC
edoxaban NDU3J18APO
Rivaroxaban 9NDF7JZ4M3

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1515-1524

Subventions

Organisme : Medical Research Council
ID : G106/1249
Pays : United Kingdom

Commentaires et corrections

Type : ErratumIn

Auteurs

Wallis C Y Lau (WCY)

Research Department of Practice and Policy, University College London School of Pharmacy, London, United Kingdom, Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, United Kingdom, Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, and Laboratory of Data Discovery for Health, Hong Kong Science Park, Hong Kong (W.C.Y.L., K.K.C.M.).

Carmen Olga Torre (CO)

IQVIA, Real-World Solutions, Brighton, United Kingdom (C.O.T., H.M.S., S.S.).

Kenneth K C Man (KKC)

Research Department of Practice and Policy, University College London School of Pharmacy, London, United Kingdom, Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, United Kingdom, Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, and Laboratory of Data Discovery for Health, Hong Kong Science Park, Hong Kong (W.C.Y.L., K.K.C.M.).

Henry Morgan Stewart (HM)

IQVIA, Real-World Solutions, Brighton, United Kingdom (C.O.T., H.M.S., S.S.).

Sarah Seager (S)

IQVIA, Real-World Solutions, Brighton, United Kingdom (C.O.T., H.M.S., S.S.).

Mui Van Zandt (M)

IQVIA, Real-World Solutions, Plymouth Meeting, Pennsylvania (M.V., C.R.).

Christian Reich (C)

IQVIA, Real-World Solutions, Plymouth Meeting, Pennsylvania (M.V., C.R.).

Jing Li (J)

IQVIA, Real-World Solutions, Durham, North Carolina (J.L., J.B.).

Jack Brewster (J)

IQVIA, Real-World Solutions, Durham, North Carolina (J.L., J.B.).

Gregory Y H Lip (GYH)

Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom, and Department of Clinical Medicine, Aalborg University, Aalborg, Denmark (G.Y.H.L.).

Aroon D Hingorani (AD)

Institute of Cardiovascular Sciences, University College London, and University College London British Heart Foundation Research Accelerator, London, United Kingdom (A.D.H.).

Li Wei (L)

Research Department of Practice and Policy, University College London School of Pharmacy, London, United Kingdom, Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, United Kingdom, and Laboratory of Data Discovery for Health, Hong Kong Science Park, Hong Kong (L.W.).

Ian C K Wong (ICK)

Aston Pharmacy School, Aston University, Birmingham, United Kingdom, Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, United Kingdom, Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, and Laboratory of Data Discovery for Health, Hong Kong Science Park, Hong Kong (I.C.K.W.).

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