Literature DB >> 16392153

Cardiovascular risk of selective cyclooxygenase-2 inhibitors and other non-aspirin non-steroidal anti-inflammatory medications.

Priscilla Velentgas1, William West, Carolyn C Cannuscio, Douglas J Watson, Alexander M Walker.   

Abstract

PURPOSE: The purpose of this study was to estimate rates of acute coronary syndrome (ACS), and sudden cardiac death in relation to use of rofecoxib, celecoxib, naproxen, diclofenac, and ibuprofen.
METHODS: We conducted a retrospective cohort study among 424,584 health plan enrollees ages 40-64 who used non-aspirin non-steroidal anti-inflammatory drugs (NANSAIDs) by prescription from 1999 to 2001. We used automated medical and pharmacy claims data to compute person-time exposed to study drugs, and to identify hospitalizations for ACS. The primary endpoint was ACS, inclusive of myocardial infarction (MI), unstable angina, and sudden cardiac death as identified through claims data and confirmed through hospital medical records, or through the National Death Index.
RESULTS: Compared with ibuprofen or diclofenac use, the relative risk (RR) of ACS during periods of current rofecoxib use was 1.35 (95%CI 1.09-1.68). For current use of celecoxib, the RR was 1.03 (95%CI 0.83-1.27). Risks in the first 30 days of rofecoxib and celecoxib use were modestly elevated. Rofecoxib use at the 25 mg/day (modal) dose was associated with an elevated risk of ACS (RR 1.54, 95%CI 1.15-2.04), while use at 26-50 mg/day (>modal) was not (RR 0.81, 95%CI 0.41-1.60). There were no increased risks with modal or greater than modal doses of celecoxib or naproxen compared with all doses of ibuprofen or diclofenac combined.
CONCLUSIONS: The incidence of ACS was 1.35 times greater during rofecoxib use than use of ibuprofen or diclofenac. No statistically significant elevation in risk was observed with celecoxib use. Naproxen use was not associated with risk of ACS.

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Year:  2006        PMID: 16392153     DOI: 10.1002/pds.1192

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


  10 in total

1.  Use of non-steroidal anti-inflammatory drugs and risk of incident myocardial infarction and heart failure, and all-cause mortality in the Australian veteran community.

Authors:  Arduino A Mangoni; Richard J Woodman; Paraskevi Gaganis; Andrew L Gilbert; Kathleen M Knights
Journal:  Br J Clin Pharmacol       Date:  2010-06       Impact factor: 4.335

2.  Nutrition therapy cost analysis in the US: pre-mixed multi-chamber bag vs compounded parenteral nutrition.

Authors:  Robin S Turpin; Todd Canada; Frank Xiaoqing Liu; Catherine J Mercaldi; Alessandro Pontes-Arruda; Paul Wischmeyer
Journal:  Appl Health Econ Health Policy       Date:  2011-09-01       Impact factor: 2.561

3.  Development and evaluation of a common data model enabling active drug safety surveillance using disparate healthcare databases.

Authors:  Stephanie J Reisinger; Patrick B Ryan; Donald J O'Hara; Gregory E Powell; Jeffery L Painter; Edward N Pattishall; Jonathan A Morris
Journal:  J Am Med Inform Assoc       Date:  2010 Nov-Dec       Impact factor: 4.497

Review 4.  Mood Therapeutics: Novel Pharmacological Approaches for Treating Depression.

Authors:  Ioline D Henter; Rafael T de Sousa; Philip W Gold; Andre R Brunoni; Carlos A Zarate; Rodrigo Machado-Vieira
Journal:  Expert Rev Clin Pharmacol       Date:  2017-01-16       Impact factor: 5.045

5.  Assessing residual confounding of the association between antipsychotic medications and risk of death using survey data.

Authors:  Sebastian Schneeweiss; Soko Setoguchi; M Alan Brookhart; Liljana Kaci; Philip S Wang
Journal:  CNS Drugs       Date:  2009       Impact factor: 5.749

Review 6.  Celecoxib: a review of its use in the management of arthritis and acute pain.

Authors:  James E Frampton; Gillian M Keating
Journal:  Drugs       Date:  2007       Impact factor: 9.546

Review 7.  Bipolar disorder: candidate drug targets.

Authors:  Carlos A Zarate; Husseini K Manji
Journal:  Mt Sinai J Med       Date:  2008 May-Jun

8.  Adaptation of Bayesian data mining algorithms to longitudinal claims data: coxib safety as an example.

Authors:  Jeffrey R Curtis; Hong Cheng; Elizabeth Delzell; David Fram; Meredith Kilgore; Kenneth Saag; Huifeng Yun; William Dumouchel
Journal:  Med Care       Date:  2008-09       Impact factor: 2.983

Review 9.  Pathophysiologic relationship between Alzheimer's disease, cerebrovascular disease, and cardiovascular risk: A review and synthesis.

Authors:  Cláudia Y Santos; Peter J Snyder; Wen-Chih Wu; Mia Zhang; Ana Echeverria; Jessica Alber
Journal:  Alzheimers Dement (Amst)       Date:  2017-02-09

10.  An economic model of long-term use of celecoxib in patients with osteoarthritis.

Authors:  Michael Loyd; Dale Rublee; Philip Jacobs
Journal:  BMC Gastroenterol       Date:  2007-07-04       Impact factor: 3.067

  10 in total

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