Home Population Population-Based Screening for Detecting Benzodiazepine Drug-Drug Interaction Signals Associated with Unintentional Traumatic Injury

Population-Based Screening for Detecting Benzodiazepine Drug-Drug Interaction Signals Associated with Unintentional Traumatic Injury

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  • Hwang, CS et al. Trends in co-prescribing of opioids and benzodiazepines, 2002-2014. A m. J. Prev. Med. 51151–160 (2016).

    Google Scholar PubMed

  • Kaufmann, CN, Spira, AP, Alexander, GC, Rutkow, L. & Mojtabai, R. Trends in sedative-hypnotic drug prescribing in the United States: 1993-2010. Pharmacoepidemiol. Safe medicine. 25637–645 (2016).

    CAS PubMed Google Scholar

  • Agarwal, SD & Landon, BE Outpatient Benzodiazepine Prescribing Models in the United States. JAMA Network. Open 2e187399–e187399 (2019).

    PubMed PubMed Central Google Scholar

  • Maust, DT, Lin, LA & Blow, FC Benzodiazepine use and misuse among adults in the United States. Psychiatrist. To serve. 7097-106 (2019).

    Google Scholar PubMed

  • Kaufmann, CN, Spira, AP, Depp, CA, and Mojtabai, R. Long-term use of benzodiazepines and non-benzodiazepine hypnotics, 1999-2014. Psychiatrist. To serve. 69235-238 (2018).

    Google Scholar PubMed

  • Ray, WA, Griffin, MR & Downey, W. Benzodiazepines with long and short elimination half-lives and risk of hip fracture. JAMA 2623303–3307 (1989).

    CAS PubMed Google Scholar

  • Maust, DT et al. Association of Medicare Part D expansion of benzodiazepine coverage with changes in fall-related injuries and overdoses among Medicare Advantage recipients. JAMA Network. Open 3e202051–e202051 (2020).

    PubMed PubMed Central Google Scholar

  • Wagner, AK et al. Benzodiazepine use and hip fractures in the elderly: who is most at risk?. Camber. Internal. Med. 1641567-1572 (2004).

    Google Scholar PubMed

  • Zint, K. et al. Impact of drug interactions, dosage and duration of treatment on the risk of hip fracture associated with benzodiazepine use in the elderly. Pharmacoepidemiol. Safe medicine. 191248-1255 (2010).

    CAS PubMed PubMed Central Google Scholar

  • Donnelly, K., Bracchi, R., Hewitt, J., Routledge, PA, and Carter, B. Benzodiazepines, Z-drugs, and risk of hip fracture: a systematic review and meta-analysis. PLOS ONE 12e0174730 (2017).

    PubMed PubMed Central Google Scholar

  • Barbonne, F. et al. Association of road accidents with the use of benzodiazepines. Lancet 3521331–1336 (1998).

    CAS PubMed Google Scholar

  • Smink, BE, Egberts, AC, Lusthof, KJ, Uges, DR & De Gier, JJ The relationship between benzodiazepine use and traffic accidents. CNS drugs 24639-653 (2010).

    CAS PubMed Google Scholar

  • Orriols, L. et al. Benzodiazepine-type hypnotics and the associated risk of road accidents. Clin. Pharmacol. The. 89595–601 (2011).

    CAS PubMed Google Scholar

  • Brandt, J. & Leong, C. Benzodiazepines and Z-drugs: An updated review of major adverse outcomes reported in epidemiological research. Drugs DR 17493-507 (2017).

    PubMed PubMed Central Google Scholar

  • Tom, SE, Wickwire, EM, Park, Y. & Albrecht, JS Non-benzodiazepine sedative hypnotics and the risk of fall-related injury. Sleep 391009-1014 (2016).

    PubMed PubMed Central Google Scholar

  • Llorente, MD, David, D., Golden, AG, and Silverman, MA Defining patterns of benzodiazepine use in older adults. J. Geriatr. Neurol Psychiatry. 13150-160 (2000).

    CAS PubMed Google Scholar

  • Patorno, E., Glynn, RJ, Levin, R., Lee, MP & Huybrechts, KF Benzodiazepines and all-cause mortality risk in adults: a cohort study. BMJ 3585 (2017).

    Google Scholar

  • French, DD et al. Effect of concurrent use of benzodiazepines and other drugs on injury risk in a veteran population. Safe medicine. 281141–1150 (2005).

    CAS PubMed Google Scholar

  • Haagsma, JA et al. The Global Burden of Injury: Incidence, Mortality, Disability Adjusted Life Years and Time Trends from the Global Burden of Disease Study 2013. Inj. Prev. 223–18 (2016).

    Google Scholar PubMed

  • United States Senate Special Committee on Aging. Falls prevention: national, regional and local solutions to better support older people. https://www.aging.senate.gov/imo/media/doc/SCA_Falls_Report_2019.pdf (2019).

  • US Department of Transportation National Highway Traffic Safety Administration. Multiple drugs and vehicle accidents: analysis of databases. https://trid.trb.org/view/863878 (2008).

  • Horn, JR Triple drug interactions. https://www.pharmacytimes.com/view/interactions-0111 (2011).

  • Watanabe, JH & Yang, J. Hospitalization and the combined use of opioids, benzodiazepines, and muscle relaxants in the United States. Hosp. Pharma. 55286-291 (2020).

    CAS PubMed Google Scholar

  • Witenko, C. et al. Considerations for the appropriate use of skeletal muscle relaxants for the management of acute low back pain. PT. 39427 (2014).

    PubMed PubMed Central Google Scholar

  • Petersen, I., Douglas, I. & Whitaker, H. Self-controlled case series methods: an alternative to standard epidemiological study designs. BMJ 3545 (2016).

    Google Scholar

  • Leonard, EC et al. Screening to identify signals of drug interactions with opioids resulting in unintended traumatic injury. Biomedical. Pharmacologist. 130110531 (2020).

    CAS PubMed PubMed Central Google Scholar

  • Leonard, EC et al. Population-based signals of antidepressant drug interactions associated with unintentional traumatic injury. Clin. Pharmacol. The. 110(2), 409–423 (2021).

    CAS PubMed Google Scholar

  • Nam, YH et al. Severe hypoglycemia and use of warfarin in combination with sulfonylureas or metformin. Clin. Pharmacol. The. 105210-218 (2019).

    CAS PubMed Google Scholar

  • Nam, YH et al. Sulfonylureas and metformin were not associated with an increased rate of serious bleeding in warfarin users: a self-controlled case series study. Clin. Pharmacol. The. 1081010-1017 (2020).

    CAS PubMed Google Scholar

  • Hey, NY et al. Concomitant use of angiotensin converting enzyme inhibitors with insulin secretagogues and the risk of severe hypoglycaemia. Clin. Pharmacol. The. 111(1), 218–226 (2022).

    Google Scholar

  • Han, X. et al. Biomedical computational approaches to identify drug interactions: application to insulin secretagogues. Epidemiology 28(3), 459–468 (2017).

    PubMed PubMed Central Google Scholar

  • Zhou, M. et al. Pharmacoepidemiological screening for potential oral anticoagulant drug interactions leading to thromboembolic events. Clin. Pharmacol. The. 108377–386 (2020).

    CAS PubMed Google Scholar

  • Leonard, EC et al. Thromboembolic and neurological sequelae of antihyperlipidemic drug withdrawal during ongoing warfarin therapy. Science. representing seven1–10 (2017).

    Google Scholar

  • Nguyen, TPP, Brensinger, CM, Bilker, WB, Hennessy, S. & Leonard, CE Evaluation of serious bleeding signals during concomitant use of clopidogrel and hypnotic drugs. Biomedical. Pharmacologist. 139111559 (2021).

    PubMed Central Google Scholar

  • American College of Surgeons. National Trauma Data Standard: Data Dictionary. https://www.facs.org/quality-programs/trauma/tqp/center-programs/ntdb/ntds/archiveddictionary (2015)

  • Sears, JM, Bowman, SM, Rotert, M. & Hogg-Johnson, S. A new method for classifying injury severity by diagnosis: validation using data from the Occupational Injuries and Trauma Registry. J. Occup. Rehabilit. 25742–751 (2015).

    PubMed PubMed Central Google Scholar

  • Centers for Control and Prevention of Disasters. Recommended framework for reporting injury mortality data. MMWR: Recommendations and Reports: Morbidity and Mortality Weekly Report. In Recommendations and Reports/Centers for Disease Control, flight. 46, 1–30 (1997).

  • Whitaker, HJ, Steer, CD & Farrington, CP Self-controlled case series studies: how rare should a rare, nonrecurring outcome be?. Biom. J 601110-1120 (2018).

    MathSciNet PubMed MATHSGoogle Scholar

  • Greenland, S. A semi-Bayesian approach to the analysis of correlated multiple associations, with application to a study of occupational cancer mortality. Med Statistics 11219–230 (1992).

    CAS PubMed Google Scholar

  • Strömberg, U. Empirical Bayes and semi-Bayes fits for a large number of estimates. EUR. J. Epidemiol. 24737–741 (2009).

    Google Scholar PubMed

  • Musich, S., Wang, SS, Slindee, LB, Ruiz, J. & Yeh, CS Concomitant use of opioids with other centrally active drugs in the elderly. Pop. health management 23286-296 (2020).

    PubMed PubMed Central Google Scholar

  • He, N., Zhang, W.-Q., Shockley, D. & Edeki, T. Inhibitory effects of H1 antihistamines on CYP2D6 and CYP2C9-mediated metabolic reactions in human liver microsomes. EUR. J. Epidemiol. 57847–851 (2002).

    CAS Google Scholar

  • Venkatakrishnan, K., Greenblatt, DJ, von Moltke, LL & Shader, RI Alprazolam is another substrate for human cytochrome P450–3A isoforms. J. Clin. Psychopharmacol. 18256 (1998).

    CAS PubMed Google Scholar

  • Yuan, R., Flockhart, DA & Balian, JD Pharmacokinetic and pharmacodynamic consequences of metabolism-based drug interactions with alprazolam, midazolam, and triazolam. J. Clin. Pharmacol. 391109-1125 (1999).

    CAS PubMed Google Scholar

  • Malhotra, B. et al. Effects of the moderate CYP3A4 inhibitor fluconazole on the pharmacokinetics of fesoterodine in healthy subjects. Br.J.Clin. Pharmacol. 72263-269 (2011).

    CAS PubMed PubMed Central Google Scholar

  • Morgan, ET Impact of infectious and inflammatory diseases on cytochrome P450-mediated drug metabolism and pharmacokinetics. Clin. Pharmacol. The. 85434–438 (2009).

    CAS PubMed Google Scholar