Literature DB >> 32275326

Pharmacoepidemiologic Screening of Potential Oral Anticoagulant Drug Interactions Leading to Thromboembolic Events.

Meijia Zhou1, Charles E Leonard1, Colleen M Brensinger1, Warren B Bilker1, Stephen E Kimmel1,2, Todd E H Hecht3, Sean Hennessy1,4.   

Abstract

Drug-drug interactions (DDIs) with oral anticoagulants may lead to under-anticoagulation and increased risk of thromboembolism. Although warfarin is susceptible to numerous DDIs, few studies have examined DDIs resulting in thromboembolism or those involving direct-acting oral anticoagulants (DOACs). We aimed to identify medications that increase the rate of hospitalization for thromboembolic events when taken concomitantly with oral anticoagulants. We conducted a high-throughput pharmacoepidemiologic screening study using Optum Clinformatics Data Mart, 2000-2016. We performed self-controlled case series studies among adult users of oral anticoagulants (warfarin, dabigatran, rivaroxaban, apixaban, and edoxaban) with at least one hospitalization for a thromboembolic event. Among eligible patients, we identified all oral medications frequently co-prescribed with oral anticoagulants as potential interacting precipitants. Conditional Poisson regression was used to estimate rate ratios comparing precipitant exposed vs. unexposed time for each anticoagulant-precipitant pair. To minimize within-person confounding by indication for the precipitant, we used pravastatin as a negative control object drug. Multiple estimation was adjusted using semi-Bayes shrinkage. We screened 1,622 oral anticoagulant-precipitant drug pairs and identified 226 (14%) drug pairs associated with statistically significantly elevated risk of thromboembolism. Using pravastatin as the negative control object drug, this list was reduced to 69 potential DDI signals for thromboembolism, 33 (48%) of which were not documented in the DDI knowledge databases Lexicomp and/or Micromedex. There were more DDI signals associated with warfarin than DOACs. This study reproduced several previously documented oral anticoagulant DDIs and identified potential DDI signals that deserve to be examined in future etiologic studies.
© 2020 The Authors Clinical Pharmacology & Therapeutics © 2020 American Society for Clinical Pharmacology and Therapeutics.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32275326      PMCID: PMC7765337          DOI: 10.1002/cpt.1845

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  38 in total

1.  A semi-Bayes approach to the analysis of correlated multiple associations, with an application to an occupational cancer-mortality study.

Authors:  S Greenland
Journal:  Stat Med       Date:  1992-01-30       Impact factor: 2.373

2.  Early impact of the ICD-10-CM transition on selected health outcomes in 13 electronic health care databases in the United States.

Authors:  Catherine A Panozzo; Tiffany S Woodworth; Emily C Welch; Ting-Ying Huang; Qoua L Her; Kevin Haynes; Catherine Rogers; Talia J Menzin; Max Ehrmann; Katherine E Freitas; Nicole R Haug; Sengwee Toh
Journal:  Pharmacoepidemiol Drug Saf       Date:  2018-06-26       Impact factor: 2.890

3.  Increased risk of stroke associated with nonsteroidal anti-inflammatory drugs: a nationwide case-crossover study.

Authors:  Chia-Hsuin Chang; Wen-Yi Shau; Chuei-Wen Kuo; Shu-Ting Chen; Mei-Shu Lai
Journal:  Stroke       Date:  2010-07-29       Impact factor: 7.914

4.  Relation of nonsteroidal anti-inflammatory drugs to serious bleeding and thromboembolism risk in patients with atrial fibrillation receiving antithrombotic therapy: a nationwide cohort study.

Authors:  Morten Lamberts; Gregory Y H Lip; Morten Lock Hansen; Jesper Lindhardsen; Jonas Bjerring Olesen; Jakob Raunsø; Anne-Marie Schjerning Olsen; Per Kragh Andersen; Thomas Alexander Gerds; Emil L Fosbøl; Christian Torp-Pedersen; Gunnar H Gislason
Journal:  Ann Intern Med       Date:  2014-11-18       Impact factor: 25.391

5.  The Self-Controlled Case Series Design as a Viable Alternative to Studying Clinically Relevant Drug Interactions.

Authors:  Meijia Zhou; Charles E Leonard; Warren B Bilker; Sean Hennessy
Journal:  Clin Pharmacol Ther       Date:  2019-10-21       Impact factor: 6.875

6.  Apixaban.

Authors:  Dennis J Cada; Terri L Levien; Danial E Baker
Journal:  Hosp Pharm       Date:  2013-06

7.  The effects of bicarbonate on blood coagulation.

Authors:  D W Wong; F S Mishkin; T T Tanaka
Journal:  JAMA       Date:  1980-07-04       Impact factor: 56.272

8.  Use of nonsteroidal anti-inflammatory drugs among healthy people and specific cerebrovascular safety.

Authors:  Emil L Fosbøl; Anne-Marie Schjerning Olsen; Jonas Bjerring Olesen; Charlotte Andersson; Lars Kober; Christian Torp-Pedersen; Gunnar H Gislason
Journal:  Int J Stroke       Date:  2012-10-23       Impact factor: 5.266

9.  Evaluating medication effects outside of clinical trials: new-user designs.

Authors:  Wayne A Ray
Journal:  Am J Epidemiol       Date:  2003-11-01       Impact factor: 4.897

10.  Polypharmacy and effects of apixaban versus warfarin in patients with atrial fibrillation: post hoc analysis of the ARISTOTLE trial.

Authors:  Jeroen Jaspers Focks; Marc A Brouwer; Daniel M Wojdyla; Laine Thomas; Renato D Lopes; Jeffrey B Washam; Fernando Lanas; Denis Xavier; Steen Husted; Lars Wallentin; John H Alexander; Christopher B Granger; Freek W A Verheugt
Journal:  BMJ       Date:  2016-06-15
View more
  4 in total

1.  Skeletal muscle relaxant drug-drug-drug interactions and unintentional traumatic injury: Screening to detect three-way drug interaction signals.

Authors:  Cheng Chen; Sean Hennessy; Colleen M Brensinger; Ghadeer K Dawwas; Emily K Acton; Warren B Bilker; Sophie P Chung; Sascha Dublin; John R Horn; Todd A Miano; Thanh Phuong Pham Nguyen; Samantha E Soprano; Charles E Leonard
Journal:  Br J Clin Pharmacol       Date:  2022-06-01       Impact factor: 3.716

2.  Signals of Muscle Relaxant Drug Interactions Associated with Unintentional Traumatic Injury: A Population-Based Screening Study.

Authors:  Ghadeer K Dawwas; Sean Hennessy; Colleen M Brensinger; Emily K Acton; Warren B Bilker; Sophie Chung; Sascha Dublin; John R Horn; Melanie M Manis; Todd A Miano; David W Oslin; Thanh Phuong Pham Nguyen; Samantha E Soprano; Douglas J Wiebe; Charles E Leonard
Journal:  CNS Drugs       Date:  2022-03-06       Impact factor: 6.497

3.  Using the Causal Inference Framework to Support Individualized Drug Treatment Decisions Based on Observational Healthcare Data.

Authors:  Andreas D Meid; Carmen Ruff; Lucas Wirbka; Felicitas Stoll; Hanna M Seidling; Andreas Groll; Walter E Haefeli
Journal:  Clin Epidemiol       Date:  2020-11-02       Impact factor: 4.790

4.  Population-based screening to detect benzodiazepine drug-drug-drug interaction signals associated with unintentional traumatic injury.

Authors:  Cheng Chen; Sean Hennessy; Colleen M Brensinger; Emily K Acton; Warren B Bilker; Sophie P Chung; Ghadeer K Dawwas; John R Horn; Todd A Miano; Thanh Phuong Pham Nguyen; Charles E Leonard
Journal:  Sci Rep       Date:  2022-09-16       Impact factor: 4.996

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.