Abstract
Background
Opioid-induced sedation and respiratory depression (OSRD) is a potentially life-threatening side effect of opioid analgesia. However, little is known about the individual and clinical-related factors associated with OSRD in the New Zealand context.
Aim
To identify risk factors for OSRD in patients admitted to a large regional health board in New Zealand—Auckland District Health Board (ADHB).
Method
A retrospective matched case-control study design was undertaken among adults who were admitted to ADHB and prescribed opioids in hospital between August 2015 and April 2020. Those who were prescribed opioids and received naloxone for OSRD were defined as cases, whereas those who received opioids but did not experience OSRD were identified as controls. Cases and controls were matched on a 1:1 basis by age (± 10 years). Data were retrieved from the electronic medical records of ADHB. A conditional logistic regression model was used to identify the risk factors for OSRD.
Results
We identified 51 cases, and these were matched with 51 control patients. The odds of experiencing OSRD were four times higher among opioid-naïve patients compared to those exposed to opioids prior to hospital admission (OR 4.113; 95% CI 1.14–14.89). Increased risk of OSRD was also associated with higher serum creatinine level prior to OSRD episode (OR 1.015; 95% CI 1.01–1.03) and a higher oral morphine milligram equivalent (OME) (OR 1.023; 95% CI 1.01–1.04).
Conclusion
Increased risk of OSRD was associated with a higher OME, a higher serum creatinine level prior to OSRD episode, and opioid naivety. Our findings can inform policies that aim to prevent serious adverse effects related to opioids.
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References
Bateman JT, Saunders SE, Levitt ES. Understanding and countering opioid-induced respiratory depression. Br J Pharmacol. 2021. https://doi.org/10.1111/bph.15580.
van Dorp EL, Yassen A, Dahan A. Naloxone treatment in opioid addiction: the risks and benefits. Expert Opin Drug Saf. 2007;6:125–32.
Dahan A. Respiratory depression with opioids. J Pain Palliat Care Pharmacother. 2007;21:63–6.
Overdyk F, Dahan A, Roozekrans M, et al. Opioid-induced respiratory depression in the acute care setting: a compendium of case reports. Pain Manag. 2014;4:317–25.
Gupta K, Prasad A, Nagappa M, et al. Risk factors for opioid-induced respiratory depression and failure to rescue: a review. Curr Opin Anaesthesiol. 2018;31:110–9.
Dolinak D. Opioid toxicity. Acad Forensic Pathol. 2017;7:19–35.
Gupta K, Nagappa M, Prasad A, et al. Risk factors for opioid-induced respiratory depression in surgical patients: a systematic review and meta-analyses. BMJ Open. 2018. https://doi.org/10.1136/bmjopen-2018-024086.
Dahan A, Aarts L, Smith TW. Incidence, reversal, and prevention of opioid-induced respiratory depression. Anesthesiology. 2010;112:226–38.
Ayad S, Khanna AK, Iqbal SU, et al. Characterisation and monitoring of postoperative respiratory depression: current approaches and future considerations. Br J Anaesth. 2019;123:378–91.
Young-McCaughan S, Miaskowski C. Definition of and mechanism for opioid-induced sedation. Pain Manag Nurs. 2001;2:84–97.
Rosenfeld DM, Betcher JA, Shah RA, et al. Findings of a naloxone database and its utilization to improve safety and education in a tertiary care medical center. Pain Pract. 2016;16:327–33.
Gordon DB, Pellino TA. Incidence and characteristics of naloxone use in postoperative pain management: a critical examination of naloxone use as a potential quality measure. Pain Manag Nurs. 2005;6:30–6.
Algera MH, Kamp J, van der Schrier R, et al. Opioid-induced respiratory depression in humans: a review of pharmacokinetic–pharmacodynamic modelling of reversal. Br J Anaesth. 2019;122:e168-79.
Weingarten TN, Herasevich V, McGlinch MC, et al. Predictors of delayed postoperative respiratory depression assessed from naloxone administration. Anesth Analg. 2015;121:422–9.
Khelemsky Y, Kothari R, Campbell N, et al. Incidence and demographics of post-operative naloxone administration: a 13-year experience at a major tertiary teaching institution. Pain Physician. 2015;18:E827-9.
Minkowitz HS, Gruschkus SK, Shah M, et al. Adverse drug events among patients receiving postsurgical opioids in a large health system: risk factors and outcomes. Am J Health Syst Pharm. 2014;71:1556–65.
Dunwoody DR, Jungquist CR. Opioid-induced sedation and respiratory depression: are sedation scales enough to prevent adverse drug events postoperatively? Pain Manag Nurs. 2020;21:110–9.
Meisenberg B, Ness J, Rao S, et al. Implementation of solutions to reduce opioid-induced oversedation and respiratory depression. Am J Health Syst Pharm. 2017;74:162–9.
Pawasauskas J, Stevens B, Youssef R, et al. Predictors of naloxone use for respiratory depression and oversedation in hospitalized adults. Am J Health Syst Pharm. 2014;71:746–50.
Brant JM, Stringer L, Jurkovich LR, et al. Predictors of oversedation in hospitalized patients. Am J Health Syst Pharm. 2018;75:1378–85.
Mann C. Observational research methods. Research design II: cohort, cross sectional, and case-control studies. Emerg Med J. 2003;20(1):54–60.
Peduzzi P, Concato J, Kemper E, et al. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996;49(12):1373–9.
Vittinghoff E, McCulloch CE. Relaxing the rule of ten events per variable in logistic and Cox regression. Am J Epidemiol 2007 Am J Epidemiol. 2007;165(6):710–8.
Atkinson J, Salmond C, Crampton P. NZDep2013 index of deprivation. Wellington: Department of Public Health, University of Otago; 2014.
Nielsen S, Degenhardt L, Hoban B, et al. A synthesis of oral morphine equivalents (OME) for opioid utilisation studies. Pharmacoepidemiol Drug Saf. 2016;25(6):733–7.
Pearce N. Analysis of matched case-control studies. BMJ. 2016. https://doi.org/10.1136/bmj.i969.
Hosmer DW, Taber S, Lemeshow S. The importance of assessing the fit of logistic regression models: a case study. Am J Public Health. 1991;81:1630–5.
Vu Q, Beselman A, Monolakis J, et al. Risk factors for opioid overdose among hospitalized patients. J Clin Pharm Ther. 2018;43:784–9.
Yung L, Lee KC, Hsu C, et al. Patterns of naloxone use in hospitalized patients. Postgrad Med. 2017;129:40–5.
Zedler B, **e L, Wang L, et al. Risk factors for serious prescription opioid-related toxicity or overdose among Veterans Health Administration patients. Pain Med. 2014;15:1911–29.
Babu KM, Brent J, Juurlink DN. Prevention of opioid overdose. N Engl J Med. 2019;380:2246–55.
Dowell D, Haegerich TM, Chou R. CDC guideline for prescribing opioids for chronic pain—United States, 2016. JAMA. 2016;315:1624–45.
Jarzyna D, Jungquist CR, Pasero C, et al. American Society for Pain Management Nursing guidelines on monitoring for opioid-induced sedation and respiratory depression. Pain Manag Nurs. 2011;12:118,145. e10.
Acknowledgements
We would like to thank Auckland District Health Board for providing access to electronic medical records and their Business Intelligence Unit for support with data provision.
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This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
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KB reports grants from Health Research Council of New Zealand, Amgen, A + Charitable Trust (Auckland District Health Board), Universitas 21, New Zealand Pharmacy Education and Research Foundation, the University of Auckland, and Addis Ababa University outside this work. AC is a fellow and supported by Asthma UK as part of the Asthma UK Centre for Applied Research (Grant Nos. AUK-AC-2012-01 and AUK-AC-2018-01). AC reports grants from Innovate UK, A + CharitableTrust (Auckland District Health Board), Maurice and Phyllis Paykel Trust, Universitas 21, New Zealand Pharmacy Education Research Fund, Auckland Academic Health Alliance, AsthmaUK, Health Research Council, Chorus Ltd, Oakley Mental Health Foundation and the University of Auckland; reports consultancy fees from Janssen-Cilag and UCL-Business spin-out company Spoonful of Sugar Ltd; and is the recipient of the Robert Irwin Postdoctoral Fellowship, outside the submitted work. All other authors report no conflict of interest.
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Beyene, K., Shen, W., Mitchell, T. et al. Risk factors for opioid toxicity requiring naloxone rescue in adults: a case-control study. Int J Clin Pharm 44, 1296–1303 (2022). https://doi.org/10.1007/s11096-022-01460-1
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DOI: https://doi.org/10.1007/s11096-022-01460-1