Literature DB >> 36253039

Using primary care data to assess comparative effectiveness and safety of apixaban and rivaroxaban in patients with nonvalvular atrial fibrillation in the UK: an observational cohort study.

Ashley Jaksa1, Liza Gibbs2, Seamus Kent3, Shaun Rowark3, Stephen Duffield3, Manuj Sharma3, Lynne Kincaid3, Ayad K Ali4, Amanda R Patrick2, Priya Govil4, Pall Jonsson3, Nicolle Gatto4,5.   

Abstract

OBJECTIVE: To compare real-world effectiveness and safety of direct oral anticoagulants (DOACs) in patients with nonvalvular atrial fibrillation (AFib) for prevention of stroke. STUDY DESIGN AND
SETTING: A comparative cohort study in UK general practice data from The Health Improvement Network database. PARTICIPANTS AND
INTERVENTIONS: Before matching, 5655 patients ≥18 years with nonvalvular AFib who initiated at least one DOAC between 1 July 2014 and 31 December 2020 were included. DOACs of interest included apixaban, rivaroxaban, edoxaban and dabigatran, with the primary comparison between apixaban and rivaroxaban. Initiators of DOACs were defined as new users with no record of prescription for any DOAC during 12 months before index date. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was stroke (ischaemic or haemorrhagic). Secondary outcomes included the occurrence of all-cause mortality, myocardial infarction (MI), transient ischaemic attacks (TIA), major bleeding events and a composite angina/MI/stroke (AMS) endpoint.
RESULTS: Compared with rivaroxaban, patients initiating apixaban showed similar rates of stroke (HR: 0.93; 95% CI 0.64 to 1.34), all-cause mortality (HR: 1.03; 95% CI 0.87 to 1.22), MI (HR: 0.95; 95% CI 0.54 to 1.68), TIA (HR: 1.03; 95% CI 0.61 to 1.72) and AMS (HR: 0.96; 95% CI 0.72 to 1.27). Apixaban initiators showed lower rates of major bleeding events (HR: 0.60; 95% CI 0.47 to 0.75).
CONCLUSIONS: Among patients with nonvalvular AFib, apixaban was as effective as rivaroxaban in reducing rate of stroke and safer in terms of major bleeding episodes. This head-to-head comparison supports conclusions drawn from indirect comparisons of DOAC trials against warfarin and demonstrates the potential for real-world evidence to fill evidence gaps and reduce uncertainty in both health technology assessment decision-making and clinical guideline development. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  cardiology; health policy; primary care; stroke medicine

Mesh:

Substances:

Year:  2022        PMID: 36253039      PMCID: PMC9577930          DOI: 10.1136/bmjopen-2022-064662

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   3.006


  32 in total

1.  High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions.

Authors:  Romain Neugebauer; Julie A Schmittdiel; Zheng Zhu; Jeremy A Rassen; John D Seeger; Sebastian Schneeweiss
Journal:  Stat Med       Date:  2014-12-08       Impact factor: 2.373

2.  Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available.

Authors:  Miguel A Hernán; James M Robins
Journal:  Am J Epidemiol       Date:  2016-03-18       Impact factor: 4.897

3.  Validation studies of the health improvement network (THIN) database for pharmacoepidemiology research.

Authors:  James D Lewis; Rita Schinnar; Warren B Bilker; Xingmei Wang; Brian L Strom
Journal:  Pharmacoepidemiol Drug Saf       Date:  2007-04       Impact factor: 2.890

4.  Generalisability of The Health Improvement Network (THIN) database: demographics, chronic disease prevalence and mortality rates.

Authors:  Betina T Blak; Mary Thompson; Hassy Dattani; Alison Bourke
Journal:  Inform Prim Care       Date:  2011

5.  Apixaban versus warfarin in patients with atrial fibrillation.

Authors:  Christopher B Granger; John H Alexander; John J V McMurray; Renato D Lopes; Elaine M Hylek; Michael Hanna; Hussein R Al-Khalidi; Jack Ansell; Dan Atar; Alvaro Avezum; M Cecilia Bahit; Rafael Diaz; J Donald Easton; Justin A Ezekowitz; Greg Flaker; David Garcia; Margarida Geraldes; Bernard J Gersh; Sergey Golitsyn; Shinya Goto; Antonio G Hermosillo; Stefan H Hohnloser; John Horowitz; Puneet Mohan; Petr Jansky; Basil S Lewis; Jose Luis Lopez-Sendon; Prem Pais; Alexander Parkhomenko; Freek W A Verheugt; Jun Zhu; Lars Wallentin
Journal:  N Engl J Med       Date:  2011-08-27       Impact factor: 91.245

6.  Comparative efficacy and safety of novel oral anticoagulants in patients with atrial fibrillation: A network meta-analysis with the adjustment for the possible bias from open label studies.

Authors:  Takeshi Morimoto; Bruce Crawford; Keiko Wada; Shinichiro Ueda
Journal:  J Cardiol       Date:  2015-07-07       Impact factor: 3.159

7.  Rivaroxaban versus warfarin and dabigatran in atrial fibrillation: comparative effectiveness and safety in Danish routine care.

Authors:  Anders Gorst-Rasmussen; Gregory Y H Lip; Torben Bjerregaard Larsen
Journal:  Pharmacoepidemiol Drug Saf       Date:  2016-05-27       Impact factor: 2.890

8.  Atrial fibrillation in the UK: predicting costs of an emerging epidemic recognizing and forecasting the cost drivers of atrial fibrillation-related costs.

Authors:  Paul Burdett; Gregory Y H Lip
Journal:  Eur Heart J Qual Care Clin Outcomes       Date:  2022-03-02

9.  A Structured Preapproval and Postapproval Comparative Study Design Framework to Generate Valid and Transparent Real-World Evidence for Regulatory Decisions.

Authors:  Nicolle M Gatto; Robert F Reynolds; Ulka B Campbell
Journal:  Clin Pharmacol Ther       Date:  2019-06-12       Impact factor: 6.875

10.  Risk of stroke and transient ischaemic attack in patients with a diagnosis of resolved atrial fibrillation: retrospective cohort studies.

Authors:  Nicola J Adderley; Krishnarajah Nirantharakumar; Tom Marshall
Journal:  BMJ       Date:  2018-05-09
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