Literature DB >> 30315487

Predictors of Major Bleeding Among Working-Age Adults with Atrial Fibrillation: Evaluating the Effects of Potential Drug-drug Interactions and Switching from Warfarin to Non-vitamin K Oral Anticoagulants.

Xue Feng1, Usha Sambamoorthi1, Kim Innes2, Gregory Castelli3, Traci LeMasters1, Lianjie Xiong4, Michael U Williams5, Xi Tan6.   

Abstract

PURPOSE: This study aims to evaluate the associations between switching from warfarin to non-vitamin K oral anticoagulants (NOACs), exposure to potential drug-drug interactions (DDIs), and major bleeding events in working-age adults with atrial fibrillation (AF).
METHODS: We conducted a retrospective cohort study using the claims database of commercially insured working-age adults with AF from 2010 to 2015. Switchers were defined as patients who switched from warfarin to NOAC; non-switchers were defined as those who remained on warfarin. We developed novel methods to calculate the number and proportion of days with potential DDIs with NOAC/warfarin. Multivariate logistic regressions were utilized to evaluate the associations between switching to NOACs, exposure to potential DDIs, and major bleeding events.
RESULTS: Among a total of 4126 patients with AF, we found a significantly lower number of potential DDIs and the average proportion of days with potential DDIs in switchers than non-switchers. The number of potential DDIs (AOR 1.14, 95% CI 1.02-1.27) and the HAS-BLED score (AOR 1.64, 95% CI 1.48-1.82) were significantly and positively associated with the likelihood of a major bleeding event. The proportion of days with potential DDIs was also significantly and positively associated with risk for bleeding (AOR 1.42, 95% CI 1.03, 1.96). We did not find significant associations between switching to NOACs and major bleeding events.
CONCLUSIONS: The number and duration of potential DDIs and patients' comorbidity burden are important factors to consider in the management of bleeding risk in working-age AF adults who take oral anticoagulants.

Entities:  

Keywords:  Atrial fibrillation; Bleeding; Drug-drug interactions; Non-vitamin K oral anticoagulants; Switching

Mesh:

Substances:

Year:  2018        PMID: 30315487      PMCID: PMC6468989          DOI: 10.1007/s10557-018-6825-7

Source DB:  PubMed          Journal:  Cardiovasc Drugs Ther        ISSN: 0920-3206            Impact factor:   3.727


  24 in total

1.  The nature and frequency of potential warfarin drug interactions that increase the risk of bleeding in patients with atrial fibrillation.

Authors:  Patricia A Howard; Edward F Ellerbeck; Kimberly K Engelman; Kelly L Patterson
Journal:  Pharmacoepidemiol Drug Saf       Date:  2002 Oct-Nov       Impact factor: 2.890

2.  Rivaroxaban versus warfarin in nonvalvular atrial fibrillation.

Authors:  Manesh R Patel; Kenneth W Mahaffey; Jyotsna Garg; Guohua Pan; Daniel E Singer; Werner Hacke; Günter Breithardt; Jonathan L Halperin; Graeme J Hankey; Jonathan P Piccini; Richard C Becker; Christopher C Nessel; John F Paolini; Scott D Berkowitz; Keith A A Fox; Robert M Califf
Journal:  N Engl J Med       Date:  2011-08-10       Impact factor: 91.245

3.  A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the Euro Heart Survey.

Authors:  Ron Pisters; Deirdre A Lane; Robby Nieuwlaat; Cees B de Vos; Harry J G M Crijns; Gregory Y H Lip
Journal:  Chest       Date:  2010-03-18       Impact factor: 9.410

4.  Concurrent use of warfarin and antibiotics and the risk of bleeding in older adults.

Authors:  Jacques Baillargeon; Holly M Holmes; Yu-Li Lin; Mukaila A Raji; Gulshan Sharma; Yong-Fang Kuo
Journal:  Am J Med       Date:  2012-02       Impact factor: 4.965

5.  Using individualized predictive disease modeling to identify patients with the potential to benefit from a disease management program for diabetes mellitus.

Authors:  Christian Weber; Kurt Neeser
Journal:  Dis Manag       Date:  2006-08

6.  Drug-drug interactions in cardiac and cardiothoracic intensive care units: an analysis of patients in an academic medical centre in the US.

Authors:  Pamela L Smithburger; Sandra L Kane-Gill; Amy L Seybert
Journal:  Drug Saf       Date:  2010-10-01       Impact factor: 5.606

Review 7.  Drug and dietary interactions of warfarin and novel oral anticoagulants: an update.

Authors:  Edith Nutescu; Ittiporn Chuatrisorn; Erika Hellenbart
Journal:  J Thromb Thrombolysis       Date:  2011-04       Impact factor: 2.300

8.  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

9.  Lifetime risk for development of atrial fibrillation: the Framingham Heart Study.

Authors:  Donald M Lloyd-Jones; Thomas J Wang; Eric P Leip; Martin G Larson; Daniel Levy; Ramachandran S Vasan; Ralph B D'Agostino; Joseph M Massaro; Alexa Beiser; Philip A Wolf; Emelia J Benjamin
Journal:  Circulation       Date:  2004-08-16       Impact factor: 29.690

10.  Dabigatran versus warfarin in patients with atrial fibrillation.

Authors:  Stuart J Connolly; Michael D Ezekowitz; Salim Yusuf; John Eikelboom; Jonas Oldgren; Amit Parekh; Janice Pogue; Paul A Reilly; Ellison Themeles; Jeanne Varrone; Susan Wang; Marco Alings; Denis Xavier; Jun Zhu; Rafael Diaz; Basil S Lewis; Harald Darius; Hans-Christoph Diener; Campbell D Joyner; Lars Wallentin
Journal:  N Engl J Med       Date:  2009-08-30       Impact factor: 91.245

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  2 in total

1.  Predictors of bleeding event among elderly patients with mechanical valve replacement using random forest model: A retrospective study.

Authors:  Jisu Kim; InSil Jang
Journal:  Medicine (Baltimore)       Date:  2021-05-14       Impact factor: 1.889

2.  Factors Affecting Medication Adherence in Patients with Mechanical Heart Valves Taking Warfarin: The Role of Knowledge on Warfarin, Medication Belief, Depression, and Self-Efficacy.

Authors:  Soohyun Park; Insil Jang
Journal:  Int J Environ Res Public Health       Date:  2021-05-14       Impact factor: 3.390

  2 in total

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