Literature DB >> 28194654

The Risk of Ischemic Cardio- and Cerebrovascular Events Associated with Oxycodone-Naloxone and Other Extended-Release High-Potency Opioids: A Nested Case-Control Study.

Kathrin Jobski1,2, Bianca Kollhorst3, Edeltraut Garbe3,4, Tania Schink3.   

Abstract

INTRODUCTION: In Germany, an extended-release (ER) combination of the high-potency opioid (HPO) oxycodone and the antagonist naloxone was approved in 2006. In recent years, the cardio- and cerebrovascular safety of opioid antagonists and of opioids themselves has been discussed.
OBJECTIVES: The objective of this study was to estimate the risk of major ischemic cardio- and cerebrovascular events in patients receiving ER oxycodone-naloxone compared with those receiving other ER HPOs.
METHODS: We used the German Pharmacoepidemiological Research Database (GePaRD) to conduct a nested case-control study (2006-2011) within a cohort of ER HPO users. Cases were defined as patients hospitalized for acute myocardial infarction (MI) or ischemic stroke (IS). For each case, up to ten controls were selected by risk-set sampling. Using conditional logistic regression, confounder-adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were obtained for the risk of MI/IS associated with (1) current HPO treatment, (2) recent discontinuation, or (3) recent switch of HPO therapy compared with past treatment.
RESULTS: In 309,936 ER HPO users, 12,384 MI/IS events were detected, resulting in a crude incidence rate of 19.48 (95% CI 19.14-19.82) per 1000 person years. A small but significantly elevated aOR was found for morphine (1.12; 95% CI 1.04-1.22) but not for oxycodone-naloxone. Recent discontinuation and recent switch of any ER HPO also had a significant impact on the outcome (aOR 1.12; 95% CI 1.04-1.21 and 1.25; 95% CI 1.03-1.52, respectively).
CONCLUSIONS: Our study does not indicate an association between oxycodone-naloxone and ischemic cardio- or cerebrovascular events. However, our findings do suggest that every change in ER HPO therapy should be conducted with caution.

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Year:  2017        PMID: 28194654     DOI: 10.1007/s40264-017-0511-8

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


  25 in total

1.  Selection of controls in case-control studies. III. Design options.

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2.  Eight principles for safer opioid prescribing.

Authors:  Lynn R Webster
Journal:  Pain Med       Date:  2013-07-10       Impact factor: 3.750

Review 3.  Oxycodone/Naloxone prolonged-release: a review of its use in the management of chronic pain while counteracting opioid-induced constipation.

Authors:  Celeste B Burness; Gillian M Keating
Journal:  Drugs       Date:  2014-03       Impact factor: 9.546

4.  Confidence limits made easy: interval estimation using a substitution method.

Authors:  L E Daly
Journal:  Am J Epidemiol       Date:  1998-04-15       Impact factor: 4.897

5.  Prescription opioid analgesic use among adults: United States, 1999-2012.

Authors:  Steven M Frenk; Kathryn S Porter; Leonard J Paulozzi
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Review 6.  Constipation: Advances in Diagnosis and Treatment.

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Journal:  JAMA       Date:  2016-01-12       Impact factor: 56.272

7.  The Risk of Opioid Intoxications or Related Events and the Effect of Alcohol-Related Disorders: A Retrospective Cohort Study in German Patients Treated with High-Potency Opioid Analgesics.

Authors:  K Jobski; B Kollhorst; T Schink; Edeltraut Garbe
Journal:  Drug Saf       Date:  2015-09       Impact factor: 5.606

8.  [Identification and grouping of pain patients according to claims data].

Authors:  A Freytag; G Schiffhorst; R Thoma; K Strick; C Gries; A Becker; R-D Treede; G Müller-Schwefe; H-R Casser; C Luley; A Höer; M Ujeyl; H Gothe; J Kugler; G Glaeske; B Häussler
Journal:  Schmerz       Date:  2010-02       Impact factor: 1.107

9.  Clinical guidelines for the use of chronic opioid therapy in chronic noncancer pain.

Authors:  Roger Chou; Gilbert J Fanciullo; Perry G Fine; Jeremy A Adler; Jane C Ballantyne; Pamela Davies; Marilee I Donovan; David A Fishbain; Kathy M Foley; Jeffrey Fudin; Aaron M Gilson; Alexander Kelter; Alexander Mauskop; Patrick G O'Connor; Steven D Passik; Gavril W Pasternak; Russell K Portenoy; Ben A Rich; Richard G Roberts; Knox H Todd; Christine Miaskowski
Journal:  J Pain       Date:  2009-02       Impact factor: 5.820

10.  Opioid use for noncancer pain and risk of myocardial infarction amongst adults.

Authors:  L Li; S Setoguchi; H Cabral; S Jick
Journal:  J Intern Med       Date:  2013-02-16       Impact factor: 8.989

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2.  Risk of Acute Liver Injury in Agomelatine and Other Antidepressant Users in Four European Countries: A Cohort and Nested Case-Control Study Using Automated Health Data Sources.

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Journal:  CNS Drugs       Date:  2019-04       Impact factor: 5.749

3.  Exploring Unconventional Risk-Factors for Cardiovascular Diseases: Has Opioid Therapy Been Overlooked?

Authors:  Oluwabunmi Ogungbe; Luma Akil; Hafiz A Ahmad
Journal:  Int J Environ Res Public Health       Date:  2019-07-18       Impact factor: 3.390

4.  Validity of ICD-9 and ICD-10 codes used to identify acute liver injury: A study in three European data sources.

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  5 in total

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