Screening to identify signals of opioid drug interactions leading to unintentional traumatic injury

Background: Efforts to minimize harms from opioid drug interactions may be hampered by limited evidence on which drugs, when taken concomitantly with opioids, result in adverse clinical outcomes. Objective: To identify signals of opioid drug interactions by identifying concomitant medications (preci...

Full description

Bibliographic Details
Main Authors: Charles E. Leonard, Colleen M. Brensinger, Thanh Phuong Pham Nguyen, John R. Horn, Sophie Chung, Warren B. Bilker, Sascha Dublin, Samantha E. Soprano, Ghadeer K. Dawwas, David W. Oslin, Douglas J. Wiebe, Sean Hennessy
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:Biomedicine & Pharmacotherapy
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0753332220307241
id doaj-fd6a7a9c408e4979b787885473c933fd
record_format Article
collection DOAJ
language English
format Article
sources DOAJ
author Charles E. Leonard
Colleen M. Brensinger
Thanh Phuong Pham Nguyen
John R. Horn
Sophie Chung
Warren B. Bilker
Sascha Dublin
Samantha E. Soprano
Ghadeer K. Dawwas
David W. Oslin
Douglas J. Wiebe
Sean Hennessy
spellingShingle Charles E. Leonard
Colleen M. Brensinger
Thanh Phuong Pham Nguyen
John R. Horn
Sophie Chung
Warren B. Bilker
Sascha Dublin
Samantha E. Soprano
Ghadeer K. Dawwas
David W. Oslin
Douglas J. Wiebe
Sean Hennessy
Screening to identify signals of opioid drug interactions leading to unintentional traumatic injury
Biomedicine & Pharmacotherapy
Drug interactions
Injury
Opioid analgesics
Pharmacoepidemiology
Population health
Self-controlled case series
author_facet Charles E. Leonard
Colleen M. Brensinger
Thanh Phuong Pham Nguyen
John R. Horn
Sophie Chung
Warren B. Bilker
Sascha Dublin
Samantha E. Soprano
Ghadeer K. Dawwas
David W. Oslin
Douglas J. Wiebe
Sean Hennessy
author_sort Charles E. Leonard
title Screening to identify signals of opioid drug interactions leading to unintentional traumatic injury
title_short Screening to identify signals of opioid drug interactions leading to unintentional traumatic injury
title_full Screening to identify signals of opioid drug interactions leading to unintentional traumatic injury
title_fullStr Screening to identify signals of opioid drug interactions leading to unintentional traumatic injury
title_full_unstemmed Screening to identify signals of opioid drug interactions leading to unintentional traumatic injury
title_sort screening to identify signals of opioid drug interactions leading to unintentional traumatic injury
publisher Elsevier
series Biomedicine & Pharmacotherapy
issn 0753-3322
publishDate 2020-10-01
description Background: Efforts to minimize harms from opioid drug interactions may be hampered by limited evidence on which drugs, when taken concomitantly with opioids, result in adverse clinical outcomes. Objective: To identify signals of opioid drug interactions by identifying concomitant medications (precipitant drugs) taken with individual opioids (object drugs) that are associated with unintentional traumatic injury Design: We conducted pharmacoepidemiologic screening of Optum Clinformatics Data Mart, identifying drug interaction signals by performing confounder-adjusted self-controlled case series studies for opioid + precipitant pairs and injury. Setting: Beneficiaries of a major United States-based commercial health insurer during 2000–2015 Patients: Persons aged 16–90 years co-dispensed an opioid and ≥1 precipitant drug(s), with an unintentional traumatic injury event during opioid therapy, as dictated by the case-only design Exposure: Precipitant-exposed (vs. precipitant-unexposed) person-days during opioid therapy. Outcome: Emergency department or inpatient International Classification of Diseases discharge diagnosis for unintentional traumatic injury. We used conditional Poisson regression to generate confounder adjusted rate ratios. We accounted for multiple estimation via semi-Bayes shrinkage. Results: We identified 25,019, 12,650, and 10,826 new users of hydrocodone, tramadol, and oxycodone who experienced an unintentional traumatic injury. Among 464, 376, and 389 hydrocodone-, tramadol-, and oxycodone-precipitant pairs examined, 20, 17, and 16 (i.e., 53 pairs, 34 unique precipitants) were positively associated with unintentional traumatic injury and deemed potential drug interaction signals. Adjusted rate ratios ranged from 1.23 (95 % confidence interval: 1.05–1.44) for hydrocodone + amoxicillin-clavulanate to 4.21 (1.88–9.42) for oxycodone + telmisartan. Twenty (37.7 %) of 53 signals are currently reported in a major drug interaction knowledgebase. Limitations: Potential for reverse causation, confounding by indication, and chance Conclusions: We identified previously undescribed and/or unappreciated signals of opioid drug interactions associated with unintentional traumatic injury. Subsequent etiologic studies should confirm (or refute) and elucidate these potential drug interactions.
topic Drug interactions
Injury
Opioid analgesics
Pharmacoepidemiology
Population health
Self-controlled case series
url http://www.sciencedirect.com/science/article/pii/S0753332220307241
work_keys_str_mv AT charleseleonard screeningtoidentifysignalsofopioiddruginteractionsleadingtounintentionaltraumaticinjury
AT colleenmbrensinger screeningtoidentifysignalsofopioiddruginteractionsleadingtounintentionaltraumaticinjury
AT thanhphuongphamnguyen screeningtoidentifysignalsofopioiddruginteractionsleadingtounintentionaltraumaticinjury
AT johnrhorn screeningtoidentifysignalsofopioiddruginteractionsleadingtounintentionaltraumaticinjury
AT sophiechung screeningtoidentifysignalsofopioiddruginteractionsleadingtounintentionaltraumaticinjury
AT warrenbbilker screeningtoidentifysignalsofopioiddruginteractionsleadingtounintentionaltraumaticinjury
AT saschadublin screeningtoidentifysignalsofopioiddruginteractionsleadingtounintentionaltraumaticinjury
AT samanthaesoprano screeningtoidentifysignalsofopioiddruginteractionsleadingtounintentionaltraumaticinjury
AT ghadeerkdawwas screeningtoidentifysignalsofopioiddruginteractionsleadingtounintentionaltraumaticinjury
AT davidwoslin screeningtoidentifysignalsofopioiddruginteractionsleadingtounintentionaltraumaticinjury
AT douglasjwiebe screeningtoidentifysignalsofopioiddruginteractionsleadingtounintentionaltraumaticinjury
AT seanhennessy screeningtoidentifysignalsofopioiddruginteractionsleadingtounintentionaltraumaticinjury
_version_ 1721434952487141376
spelling doaj-fd6a7a9c408e4979b787885473c933fd2021-05-20T07:43:12ZengElsevierBiomedicine & Pharmacotherapy0753-33222020-10-01130110531Screening to identify signals of opioid drug interactions leading to unintentional traumatic injuryCharles E. Leonard0Colleen M. Brensinger1Thanh Phuong Pham Nguyen2John R. Horn3Sophie Chung4Warren B. Bilker5Sascha Dublin6Samantha E. Soprano7Ghadeer K. Dawwas8David W. Oslin9Douglas J. Wiebe10Sean Hennessy11Center for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Center for Therapeutic Effectiveness Research, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Corresponding author at: Perelman School of Medicine, University of Pennsylvania, 807 Blockley Hall, 423 Guardian Drive, Philadelphia, PA, 19104, United States.Center for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United StatesCenter for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United StatesDepartment of Pharmacy, School of Pharmacy, University of Washington, Seattle, WA, United StatesAthenaHealth, Inc., Watertown, MA, United StatesCenter for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United StatesKaiser Permanente Washington Health Research Institute, Seattle, WA, United States; Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United StatesCenter for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United StatesCenter for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United StatesCenter for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Mental Illness Research, Education, and Clinical Center, Corporal Michael J. Crescenz Veterans Administration Medical Center, Philadelphia, PA, United StatesDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Injury Science Center, University of Pennsylvania, Philadelphia, PA, United StatesCenter for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Center for Therapeutic Effectiveness Research, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United StatesBackground: Efforts to minimize harms from opioid drug interactions may be hampered by limited evidence on which drugs, when taken concomitantly with opioids, result in adverse clinical outcomes. Objective: To identify signals of opioid drug interactions by identifying concomitant medications (precipitant drugs) taken with individual opioids (object drugs) that are associated with unintentional traumatic injury Design: We conducted pharmacoepidemiologic screening of Optum Clinformatics Data Mart, identifying drug interaction signals by performing confounder-adjusted self-controlled case series studies for opioid + precipitant pairs and injury. Setting: Beneficiaries of a major United States-based commercial health insurer during 2000–2015 Patients: Persons aged 16–90 years co-dispensed an opioid and ≥1 precipitant drug(s), with an unintentional traumatic injury event during opioid therapy, as dictated by the case-only design Exposure: Precipitant-exposed (vs. precipitant-unexposed) person-days during opioid therapy. Outcome: Emergency department or inpatient International Classification of Diseases discharge diagnosis for unintentional traumatic injury. We used conditional Poisson regression to generate confounder adjusted rate ratios. We accounted for multiple estimation via semi-Bayes shrinkage. Results: We identified 25,019, 12,650, and 10,826 new users of hydrocodone, tramadol, and oxycodone who experienced an unintentional traumatic injury. Among 464, 376, and 389 hydrocodone-, tramadol-, and oxycodone-precipitant pairs examined, 20, 17, and 16 (i.e., 53 pairs, 34 unique precipitants) were positively associated with unintentional traumatic injury and deemed potential drug interaction signals. Adjusted rate ratios ranged from 1.23 (95 % confidence interval: 1.05–1.44) for hydrocodone + amoxicillin-clavulanate to 4.21 (1.88–9.42) for oxycodone + telmisartan. Twenty (37.7 %) of 53 signals are currently reported in a major drug interaction knowledgebase. Limitations: Potential for reverse causation, confounding by indication, and chance Conclusions: We identified previously undescribed and/or unappreciated signals of opioid drug interactions associated with unintentional traumatic injury. Subsequent etiologic studies should confirm (or refute) and elucidate these potential drug interactions.http://www.sciencedirect.com/science/article/pii/S0753332220307241Drug interactionsInjuryOpioid analgesicsPharmacoepidemiologyPopulation healthSelf-controlled case series