Literature DB >> 29797240

Coronary Events After Dispensing of Ibuprofen: A Propensity Score-Matched Cohort Study Versus Paracetamol in the French Nationwide Claims Database Sample.

Mai Duong1,2,3, Abdelilah Abouelfath1, Regis Lassalle1, Cécile Droz1, Patrick Blin1, Nicholas Moore4,5.   

Abstract

INTRODUCTION: Non-steroidal anti-inflammatory drugs are associated with a dose and duration-dependent coronary risk. There is little information concerning analgesic-dose ibuprofen, among the most widely used drugs worldwide.
OBJECTIVE: Our objective was to measure the risks of acute coronary syndrome (ACS) after dispensing of ibuprofen, versus paracetamol.
METHODS: Propensity score 1:2-matched cohorts of ibuprofen or paracetamol treatment episodes (TEs) in Echantillon Généraliste de Bénéficiaires (EGB), the 1/97 sample of Système National des Données de Santé (SNDS), the French nationwide claims database, from 2009 to 2014, were compared. Outcomes were hospital admissions for ACS during the 3 months after the dispensing of ibuprofen or paracetamol. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated overall and stratified on low-dose aspirin dispensing.
RESULTS: A total of 315,269 ibuprofen TEs in 168,400 persons were matched to 630,457 paracetamol TEs in 395,952 patients. Event rates were 50-100 times higher in low-dose aspirin users (27 vs 0.28 per 1000 patient years). Overall there was no difference in risk of ACS at 3 months (HR 0.94, 95% CI 0.74-1.20) despite a transient increase in the first 2 weeks in ibuprofen users (HR 1.70, 95% CI 1.11-2.59). In the stratified analysis, this short-term risk was only found in aspirin users (5% of population, HR 1.84, 95% CI 1.24-3.24), but not in non-aspirin users (HR 1.09, 95% CI 0.40-2.94).
CONCLUSIONS: There was no evidence for an increased risk of ACS in patients dispensed ibuprofen compared to paracetamol.

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Year:  2018        PMID: 29797240     DOI: 10.1007/s40264-018-0686-7

Source DB:  PubMed          Journal:  Drug Saf        ISSN: 0114-5916            Impact factor:   5.606


  39 in total

1.  A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study.

Authors:  Peter C Austin; Paul Grootendorst; Geoffrey M Anderson
Journal:  Stat Med       Date:  2007-02-20       Impact factor: 2.373

2.  Usage patterns of 'over-the-counter' vs. prescription-strength nonsteroidal anti-inflammatory drugs in France.

Authors:  Mai Duong; Francesco Salvo; Antoine Pariente; Abdelilah Abouelfath; Regis Lassalle; Cecile Droz; Patrick Blin; Nicholas Moore
Journal:  Br J Clin Pharmacol       Date:  2014-05       Impact factor: 4.335

3.  Choice of the denominator in case population studies: event rates for registration for liver transplantation after exposure to NSAIDs in the SALT study in France.

Authors:  Nicholas Moore; Sinem Ezgi Gulmez; Dominique Larrey; Georges-Philippe Pageaux; Séverine Lignot; Régis Lassalle; Jérémy Jové; Antoine Pariente; Patrick Blin; Jacques Bénichou; Bernard Bégaud
Journal:  Pharmacoepidemiol Drug Saf       Date:  2012-11-20       Impact factor: 2.890

4.  Hospitalizations for gastrointestinal and cardiovascular events in the CADEUS cohort of traditional or Coxib NSAID users.

Authors:  David Laharie; Cécile Droz-Perroteau; Jacques Bénichou; Michel Amouretti; Patrick Blin; Bernard Bégaud; Estelle Guiard; Sylvie Dutoit; Stéphanie Lamarque; Yola Moride; Fanny Depont; Annie Fourrier-Réglat; Nicholas Moore
Journal:  Br J Clin Pharmacol       Date:  2010-03       Impact factor: 4.335

Review 5.  An old drug with a new purpose: cardiovascular actions of acetaminophen (paracetamol).

Authors:  Norell M Spiler; Tyler H Rork; Gary F Merrill
Journal:  Curr Drug Targets Cardiovasc Haematol Disord       Date:  2005-10

6.  Risk of ischemic stroke associated with non-steroidal anti-inflammatory drugs and paracetamol: a population-based case-control study.

Authors:  P García-Poza; F J de Abajo; M J Gil; A Chacón; V Bryant; L A García-Rodríguez
Journal:  J Thromb Haemost       Date:  2015-02-24       Impact factor: 5.824

7.  The use of non-prescription medicines by general practitioner attendees.

Authors:  Gordon Urquhart; Hazel K Sinclair; Philip C Hannaford
Journal:  Pharmacoepidemiol Drug Saf       Date:  2004-11       Impact factor: 2.890

8.  Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies.

Authors:  Peter C Austin
Journal:  Pharm Stat       Date:  2011 Mar-Apr       Impact factor: 1.894

Review 9.  Risk of acute myocardial infarction with NSAIDs in real world use: bayesian meta-analysis of individual patient data.

Authors:  Michèle Bally; Nandini Dendukuri; Benjamin Rich; Lyne Nadeau; Arja Helin-Salmivaara; Edeltraut Garbe; James M Brophy
Journal:  BMJ       Date:  2017-05-09

Review 10.  Myocardial infarction and individual nonsteroidal anti-inflammatory drugs meta-analysis of observational studies.

Authors:  Cristina Varas-Lorenzo; Nuria Riera-Guardia; Brian Calingaert; Jordi Castellsague; Francesco Salvo; Federica Nicotra; Miriam Sturkenboom; Susana Perez-Gutthann
Journal:  Pharmacoepidemiol Drug Saf       Date:  2013-06       Impact factor: 2.890

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  3 in total

Review 1.  Coronary Risks Associated with Diclofenac and Other NSAIDs: An Update.

Authors:  Nicholas Moore
Journal:  Drug Saf       Date:  2020-04       Impact factor: 5.606

2.  Previous Drug Exposure in Patients Hospitalised for Acute Liver Injury: A Case-Population Study in the French National Healthcare Data System.

Authors:  Nicholas Moore; Stéphanie Duret; Adeline Grolleau; Régis Lassalle; Vanessa Barbet; Mai Duong; Nicolas Thurin; Cécile Droz-Perroteau; Sinem Ezgi Gulmez
Journal:  Drug Saf       Date:  2019-04       Impact factor: 5.606

3.  Ibuprofen and Paracetamol: Acceptably Safe for All?

Authors:  Filippo Pigazzani; Isla Mackenzie; Thomas M MacDonald
Journal:  Drug Saf       Date:  2018-11       Impact factor: 5.606

  3 in total

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