Literature DB >> 16892457

Differential associations of beta-blockers with hemorrhagic events for chronic heart failure patients on warfarin.

Dan R Berlowitz1, Donald R Miller, Susan A Oliveria, Fran Cunningham, Andres Gomez-Caminero, James A Rothendler.   

Abstract

PURPOSE: Beta-blockers have many different physiologic effects that could potentially influence the risk of hemorrhagic events in chronic heart failure patients (CHF) on warfarin. We examined how different beta-blockers vary in their associated risk of a hemorrhagic event.
METHODS: We used databases from the Department of Veterans Affairs (VA) that contain information on medications prescribed, diagnoses, and hospitalizations. We identified patients with CHF on warfarin and either metoprolol, carvedilol, atenolol, or no beta-blocker during 1999-2001. We modeled time to first hemorrhagic event using a Cox proportional hazards model, adjusting for age, ethnicity, comorbidities, and other factors. INR levels were examined in a subsample of 3546 patients.
RESULTS: We identified 66,988 CHF patients on warfarin. Hemorrhagic events occurred in 15.3% of the sample and, in 3.8% of the sample, the hemorrhage was considered severe. Compared to patients on carvedilol, the hazards ratio for a new hemorrhagic event was 1.25 (1.17, 1.34) for no beta-blocker, 1.27 (1.18, 1.38) for atenolol, and 1.38 (1.28, 1.48) for metoprolol. No differences in INR levels were evident among the four groups.
CONCLUSIONS: The risk for a hemorrhagic event among CHF patients on warfarin may be affected by beta-blocker use and varies depending on which beta-blocker is prescribed.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16892457     DOI: 10.1002/pds.1301

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  5 in total

1.  Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study.

Authors:  Xiaoyan Wang; George Hripcsak; Marianthi Markatou; Carol Friedman
Journal:  J Am Med Inform Assoc       Date:  2009-03-04       Impact factor: 4.497

2.  Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records.

Authors:  Mei Liu; Eugenia Renne McPeek Hinz; Michael Edwin Matheny; Joshua C Denny; Jonathan Scott Schildcrout; Randolph A Miller; Hua Xu
Journal:  J Am Med Inform Assoc       Date:  2012-11-17       Impact factor: 4.497

Review 3.  Association between CHADS₂risk factors and anticoagulation-related bleeding: a systematic literature review.

Authors:  Wendy T Chen; C Michael White; Olivia J Phung; Jeffrey Kluger; Ajibade O Ashaye; Diana M Sobieraj; Sagar Makanji; Vanita Tongbram; William L Baker; Craig I Coleman
Journal:  Mayo Clin Proc       Date:  2011-06       Impact factor: 7.616

4.  Adverse drug events with hyperkalaemia during inpatient stays: evaluation of an automated method for retrospective detection in hospital databases.

Authors:  Grégoire Ficheur; Emmanuel Chazard; Jean-Baptiste Beuscart; Béatrice Merlin; Michel Luyckx; Régis Beuscart
Journal:  BMC Med Inform Decis Mak       Date:  2014-09-12       Impact factor: 2.796

5.  Polypharmacy, Adverse Outcomes, and Treatment Effectiveness in Patients ≥75 With Atrial Fibrillation.

Authors:  Nemin Chen; Aniqa B Alam; Pamela L Lutsey; Richard F MacLehose; J'Neka S Claxton; Lin Y Chen; Alanna M Chamberlain; Alvaro Alonso
Journal:  J Am Heart Assoc       Date:  2020-05-23       Impact factor: 5.501

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.