Efficacy and safety of oral factor Xa inhibitors versus vitamin-K antagonists in the early phase after acute ischemic stroke or TIA in the real-world setting: The PRODAST study.

Atrial fibrillation bleeding factor-Xa-inhibitors ischemic stroke recurrent stroke vitamin-K antagonists

Journal

European stroke journal
ISSN: 2396-9881
Titre abrégé: Eur Stroke J
Pays: England
ID NLM: 101688446

Informations de publication

Date de publication:
03 Apr 2024
Historique:
medline: 3 4 2024
pubmed: 3 4 2024
entrez: 3 4 2024
Statut: aheadofprint

Résumé

Factor Xa (FXa) inhibitors are superior to vitamin K antagonists (VKAs) in terms of avoiding hemorrhagic complications. However, no robust data are available to date as to whether this also applies to the early phase after stroke. In this prospective registry study, we aimed to investigate whether anticoagulation with FXa inhibitors in the early phase after acute ischemic stroke or transient ischemic attack (TIA) is associated with a lower risk of major bleeding events compared with VKAs. The Prospective Record of the Use of Dabigatran in Patients with Acute Stroke or TIA (PRODAST) study is a prospective, multicenter, observational, post-authorization safety study at 86 German stroke units between July 2015 and November 2020. Primary outcome was a major bleeding event during hospital stay. Secondary endpoints were recurrent strokes, recurrent ischemic strokes, TIA, systemic/pulmonary embolism, myocardial infarction, death and the composite endpoint of stroke, systemic embolism, life-threatening bleeding and death. In total, 10,039 patients have been recruited. 5,874 patients were treated with FXa inhibitors and 1,050 patients received VKAs and were eligible for this analysis. Overall, event rates were low. We observed 49 major bleeding complications during 33,297 treatment days with FXa-inhibitors (rate of 14.7 cases per 10,000 treatment days) and 16 cases during 7,714 treatment days with VKAs (rate of 20.7 events per 10,000 treatment days), translating into an adjusted hazard ratio (aHR) of 0.70 (95% confidence interval (95% CI): 0.37-1.32) in favor of FXa inhibitors. Hazards for ischemic endpoints (63 vs 17 strokes, aHR: 0.96 (95% CI: 0.53-1.74), mortality (33 vs 6 deaths, aHR: 0.87 (95% CI: 0.33-2.34)) and the combined endpoint (154 vs 39 events, aHR: 0.99 (95% CI: 0.65-1.41) were not substantially different. This large real-world study shows that FXa inhibitors appear to be similarly effective in terms of bleeding events and ischemic endpoints compared to VKAs in the early post-stroke phase of hospitalization. However, the results need to be interpreted with caution due to the low precision of the estimates.

Identifiants

pubmed: 38567789
doi: 10.1177/23969873241242239
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

23969873241242239

Déclaration de conflit d'intérêts

Declaration of conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: H-CD has received honoraria for participation in clinical trials, contribution to advisory boards or oral presentations from: Abbott, BMS, Boehringer Ingelheim, Daiichi-Sankyo, Novo-Nordisk, Pfizer, Portola, and WebMD Global. Boehringer Ingelheim provided financial support for research projects. H-CD received research grants from the German Research Council (DFG) and German Ministry of Education and Research (BMBF). H-CD serves as editor of

Auteurs

Hans-Christoph Diener (HC)

Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany.

Gerrit M Grosse (GM)

Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany.
Department of Neurology, Hannover Medical School, Hannover, Germany.
Department of Neurology and Stroke Center, University Hospital Basel, Basel, Switzerland.

Anika Hüsing (A)

Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany.

Andreas Stang (A)

Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany.
School of Public Health, Department of Epidemiology Boston University, Boston, MA, United States of America.

Nils Kuklik (N)

Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany.

Marcus Brinkmann (M)

Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany.
Center for Clinical Trials Essen, University Hospital Essen, Essen, Germany.

Gabriele D Maurer (GD)

Department of Neurology, University Hospital Frankfurt, Goethe University Frankfurt, Germany.

Hassan Soda (H)

Klinik für Akutneurologie mit Überregionaler Stroke Unit, Klinischer Neurophysiologie und Intensivmedizin, Rhön-Klinikum Campus Bad Neustadt, Bad Neustadt, Germany.

Carsten Pohlmann (C)

Department of Neurology, Asklepios Klinik Barmbek, Hamburg, Germany.

Rüdiger Hilker-Roggendorf (R)

Department of Neurology, Klinikum Vest, Recklinghausen.
Ruhr-University, Bochum, Germany.

Nikola Popovic (N)

Department of Neurology, Evangelisches Krankenhaus Hattingen, Hattingen, Germany.

Peter Kraft (P)

Klinikum Main-Spessart Lohr, Germany.

Bruno-Marcel Mackert (BM)

Department of Neurology, Vivantes Auguste-Viktoria Hospital, Berlin, Germany.

Christoph C Eschenfelder (CC)

Human Pharma Germany, Boehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim, Germany.

Christian Weimar (C)

Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany.
BDH Clinic Elzach, Elzach, Germany.

Classifications MeSH