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The Risk of Preoperative Central Nervous System-Acting Medications on Delirium Following Hip or Knee Surgery: A Matched Case-Control Study

Abstract

Introduction

Medicines acting on the central nervous system can increase the risk of postoperative delirium, but the specific medicines associated with greatest risk remain unclear.

Objectives

We aimed to examine the risk of individual central nervous system-acting medicines used preoperatively on delirium after hip or knee surgery.

Methods

A matched case-control study was conducted using data from the Australian Government Department of Veterans’ Affairs. We included people aged 65 years or older who had knee or hip surgery between 2000 and 2019. People with hip or knee surgery who developed postoperative delirium were cases and controls were people with hip or knee surgery but who did not develop postoperative delirium. Use of medicines including anxiolytics, sedatives, and hypnotics, opioid analgesics and antidepressants prior to surgery was compared between cases and controls.

Results

A total of 2614 patient cases with postoperative delirium were matched by same sex, age (±2 years), and year of admission (±2 years) with 7842 controls without postoperative delirium. Cases were more likely to be exposed to nitrazepam (odds ratio [OR] = 1.81, 95% confidence interval [CI] 1.24–2.64), sertraline (OR = 1.50, 95% CI 1.20–1.87), mirtazapine (OR = 1.38, 95% CI 1.11–1.74), venlafaxine (OR = 1.42, 95% CI 1.02–1.98), citalopram (OR = 1.54, 95% CI 1.19–1.99), escitalopram (OR = 1.42, 95% CI 1.06–1.89) or fluvoxamine (OR = 5.01, 95% CI 2.15–11.68) prior to surgery than controls. At the class level, exposure to benzodiazepines (OR = 1.20, 95% CI 1.05–1.37) and antidepressants (OR = 1.64, 95% CI 1.47–1.83) prior to surgery was significantly higher in cases than in controls. The numbers needed to treat to harm for one additional delirium case were 43 for sertraline, 40 for citalopram, 57 for mirtazapine and 26 for nitrazepam. Whereas, the numbers needed to treat to harm were found to be 20 for sertraline, 17 for citalopram, 19 for mirtazapine and 10 for nitrazepam in the 85 years or older age group, indicating that the harmful effect of these medicines is pronounced as age advances.

Conclusions

People who developed delirium following hip or knee surgery were more likely to be exposed to nitrazepam, sertraline, mirtazapine, venlafaxine, citalopram, escitalopram or fluvoxamine at the time of admission for surgery. Planning to reduce use of these medicines well prior to surgery may decrease the risk of postoperative delirium.

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References

  1. Bruce AJ, Ritchie CW, Blizard R, et al. The incidence of delirium associated with orthopedic surgery: a meta-analytic review. Int Psychogeriatr. 2007;19(2):197.

    Article  Google Scholar 

  2. Santos FS, Wahlund LO, Varli F, et al. Incidence, clinical features and subtypes of delirium in elderly patients treated for hip fractures. Dement Geriatr Cogn Disord. 2005;20(4):231–7.

    Article  Google Scholar 

  3. Wang C-G, Qin Y-F, Wan X, et al. Incidence and risk factors of postoperative delirium in the elderly patients with hip fracture. J Orthop Surg Res. 2018;13(1):1–7.

    Article  Google Scholar 

  4. Aldwikat RK, Manias E, Nicholson P. Incidence and risk factors for acute delirium in older patients with a hip fracture: a retrospective cohort study. Nurs Health Sci. 2020;22(4):958–66.

    Article  Google Scholar 

  5. Ozbas A, Ak ES, Cavdar I, et al. Determining the incidence of postoperative delirium in elderly patients who undergo orthopaedic surgical interventions in Turkey. JPMA. 2018;68(6):867–71.

    Google Scholar 

  6. Lee K-H, Ha Y-C, Lee Y-K, et al. Frequency, risk factors, and prognosis of prolonged delirium in elderly patients after hip fracture surgery. Clin Orthopaed Relat Res. 2011;469(9):2612–20.

    Article  Google Scholar 

  7. Mangusan RF, Hooper V, Denslow SA, et al. Outcomes associated with postoperative delirium after cardiac surgery. Am J Crit Care. 2015;24(2):156–63.

    Article  Google Scholar 

  8. Mitchell R, Harvey L, Brodaty H, et al. One-year mortality after hip fracture in older individuals: the effects of delirium and dementia. Arch Gerontol Geriatr. 2017;72:135–41.

    Article  Google Scholar 

  9. Liang C-K, Chu C-L, Chou M-Y, et al. Interrelationship of postoperative delirium and cognitive impairment and their impact on the functional status in older patients undergoing orthopaedic surgery: a prospective cohort study. PLoS ONE. 2014;9(11):e110339.

    Article  Google Scholar 

  10. Benoit AG, Campbell BI, Tanner JR, et al. Risk factors and prevalence of perioperative cognitive dysfunction in abdominal aneurysm patients. J Vasc Surg. 2005;42(5):884–90.

    Article  Google Scholar 

  11. Catic AG. Identification and management of in-hospital drug-induced delirium in older patients. Drugs Aging. 2011;28(9):737–48.

    Article  CAS  Google Scholar 

  12. Clegg A, Young JB. Which medications to avoid in people at risk of delirium: a systematic review. Age Ageing. 2011;40(1):23–9.

    Article  Google Scholar 

  13. Hein C, Forgues A, Piau A, Sommet A, Vellas B, Nourhashémi F. Impact of polypharmacy on occurrence of delirium in elderly emergency patients. J Am Med Dir Assoc. 2014;15(11):850.e11-5.

    Article  Google Scholar 

  14. Kassie GM, Nguyen TA, Ellett LMK, et al. Preoperative medication use and postoperative delirium: a systematic review. BMC Geriatr. 2017;17(1):1–10.

    Article  Google Scholar 

  15. Litaker D, Locala J, Franco K, et al. Preoperative risk factors for postoperative delirium. Gen Hosp Psychiatry. 2001;23(2):84–9.

    Article  CAS  Google Scholar 

  16. Marcantonio ER, Juarez G, Goldman L, et al. The relationship of postoperative delirium with psychoactive medications. JAMA. 1994;272(19):1518–22.

    Article  CAS  Google Scholar 

  17. Australian Government Department of Veterans’ Affairs D. Stats at a glance 2019. https://www.dva.gov.au/about-dva/statistics-about-veteran-population#ataglance. Accessed 14 Jan 2019.

  18. World Health Organization Collaborating Centre for Drug Statistics Methodology. Anatomical Therapeutic Chemical Code Classification Index with Defined Daily Doses. Oslo: World Health Organization Collaborating Centre for Drug Statistics Methodology, 2004 [on-line]. Available at https://www.whocc.no/atc_ddd_index/. Accessed 22 Feb 2019.

  19. Australian Government Department of Health. Schedule of Pharmaceutical Benefits: Commonwealth of Australia; 2020. http://www.pbs.gov.au/browse/publications. Accessed 9 June 2020.

  20. World Health Organization. International statistical classification of diseases and related health problems: 10th revision (ICD-10). Available from: http://www.who.int/classifications/apps/icd/icd1992. Accessed 28 Feb 2019.

  21. Pottegård A, Hallas J. Assigning exposure duration to single prescriptions by use of the waiting time distribution. Pharmacoepidemiol Drug Saf. 2013;22(8):803–9.

    Article  Google Scholar 

  22. Hallas J. Drug utilization statistics for individual-level pharmacy dispensing data. Pharmacoepidemiol Drug Saf. 2005;14(7):455–63.

    Article  Google Scholar 

  23. Australian Bureau of Statistics. Census of Population and Housing: Socio‐Economic Indexes for Areas (SEIFA), Australia, 2016. https://www.abs.gov.au/websitedbs/censushome.nsf/home/seifa. Accessed 2 Nov 2021.

  24. Pratt NL, Kerr M, Barratt JD, et al. The validity of the Rx-risk Comorbidity Index using medicines mapped to the Anatomical Therapeutic Chemical (ATC) classification system. BMJ Open. 2018;8(4):e021122.

    Article  Google Scholar 

  25. Menendez ME, Neuhaus V, van Dijk CN, Ring D. The Elixhauser comorbidity method outperforms the Charlson Index in predicting inpatient death after orthopaedic surgery. Clin Orthopaed Relat Res. 2014;472(9):2878–86.

    Article  Google Scholar 

  26. Bjerre LM, LeLorier J. Expressing the magnitude of adverse effects in case-control studies:“the number of patients needed to be treated for one additional patient to be harmed.” BMJ. 2000;320(7233):503–6.

    Article  CAS  Google Scholar 

  27. Maldonado JR. Acute brain failure: pathophysiology, diagnosis, management, and sequelae of delirium. Crit Care Clin. 2017;33(3):461–519.

    Article  Google Scholar 

  28. Kudoh A, Takase H, Takahira Y, et al. Postoperative confusion increases in elderly long-term benzodiazepine users. Anesth Analg. 2004;99(6):1674–8.

    Article  CAS  Google Scholar 

  29. Nandi S, Harvey WF, Saillant J, et al. Pharmacologic risk factors for post-operative delirium in total joint arthroplasty patients: a case-control study. J Arthroplasty. 2014;29(2):268–71.

    Article  Google Scholar 

  30. Carpenter CR. Insufficient evidence exists about which drugs are associated with delirium; benzodiazepines may increase risk. Ann Intern Med. 2011;154(24):JC6-10.

    Article  Google Scholar 

  31. Grundström R, Holmberg G, Hansen T. Degree of sedation obtained with various doses of diazepam and nitrazepam. Acta Pharmacol Toxicol. 1978;43(1):13–8.

    Article  Google Scholar 

  32. Pandharipande P, Shintani A, Peterson J, et al. Lorazepam is an independent risk factor for transitioning to delirium in intensive care unit patients. J Am Soc Anesthesiol. 2006;104(1):21–6.

    Article  CAS  Google Scholar 

  33. Zaal IJ, Devlin JW, Hazelbag M, et al. Benzodiazepine-associated delirium in critically ill adults. Intensive Care Med. 2015;41(12):2130–7.

    Article  CAS  Google Scholar 

  34. Behrends M, DePalma G, Sands L, et al. Association between intraoperative blood transfusions and early postoperative delirium in older adults. J Am Geriatr Soc. 2013;61(3):365–70.

    Article  Google Scholar 

  35. Xue P, Wu Z, Wang K, et al. Incidence and risk factors of postoperative delirium in elderly patients undergoing transurethral resection of prostate: a prospective cohort study. Neuropsychiatr Dis Treat. 2016;12:137.

    Article  Google Scholar 

  36. Huang J, Bin Abd Razak HR, Yeo SJ. Incidence of postoperative delirium in patients undergoing total knee arthroplasty: an Asian perspective. Ann Transl Med. 2017;5(16):321.

    Article  Google Scholar 

  37. Gustafson Y, Berggren D, Brännström B, et al. Acute confusional states in elderly patients treated for femoral neck fracture. J Am Geriatr Soc. 1988;36(6):525–30.

    Article  CAS  Google Scholar 

  38. Delić M, Pregelj P. Delirium during i.v. citalopram treatment: a case report. Pharmacopsychiatry. 2013;46(01):37–8.

    PubMed  Google Scholar 

  39. Wakeno M, Okugawa G, Takekita Y, et al. Delirium associated with paroxetine in an elderly depressive patient: a case report. Pharmacopsychiatry. 2007;40(05):199–200.

    Article  CAS  Google Scholar 

  40. Brown CH IV, LaFlam A, Max L, et al. Delirium after spine surgery in older adults: incidence, risk factors, and outcomes. J Am Geriatr Soc. 2016;64(10):2101–8.

    Article  Google Scholar 

  41. Lejoyeux M, Adès J, Mourad S, et al. Antidepressant withdrawal syndrome. CNS Drugs. 1996;5(4):278–92.

    Article  CAS  Google Scholar 

  42. Van Noorden M, Vergouwen A, Koerselman G. Delirium during withdrawal of venlafaxine. Ned Tijdschr Geneeskd. 2002;146(26):1236–7.

    PubMed  Google Scholar 

  43. Oldham MA, Hawkins KA, Lin I-H, et al. Depression predicts delirium after coronary artery bypass graft surgery independent of cognitive impairment and cerebrovascular disease: an analysis of the neuropsychiatric outcomes after heart surgery study. J Am Geriatr Soc. 2019;27(5):476–86.

    Article  Google Scholar 

  44. Elsamadicy AA, Adogwa O, Lydon E, et al. Depression as an independent predictor of postoperative delirium in spine deformity patients undergoing elective spine surgery. J Neurosurg Spine. 2017;27(2):209–14.

    Article  Google Scholar 

  45. Pisani MA, Murphy TE, Araujo KL, et al. Benzodiazepine and opioid use and the duration of ICU delirium in an older population. Crit Care Med. 2009;37(1):177.

    Article  CAS  Google Scholar 

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Acknowledgements

This research was funded by the Australian Government Department of Veterans’ Affairs as part of the delivery of the Veterans’ MATES program.

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Correspondence to Gizat M. Kassie.

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Funding

There was no funding received to conduct this particular study.

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None of the authors has any conflicts of interest related to this study.

Ethical approval

Ethics approval was obtained from the University of South Australia, and the Departments of Defence and Veterans’ Affairs Human Research Ethics Committees.

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This observational study was based on administrative claims data and did not require patient consent. Patients and/or the public were not involved.

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Not applicable.

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Unpublished data related to this study can be requested from the corresponding author by e-mail.

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Author contributions

GMK: study design, data analysis and interpretation and drafting of the manuscript. EER, TAN, NLP, and LMKE: study design, data interpretation and critical revision of the manuscript for important intellectual content. All authors read and approved the final version of this article.

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Kassie, G., Roughead, E.E., Nguyen, T.A. et al. The Risk of Preoperative Central Nervous System-Acting Medications on Delirium Following Hip or Knee Surgery: A Matched Case-Control Study. Drug Saf 45, 75–82 (2022). https://doi.org/10.1007/s40264-021-01136-1

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  • DOI: https://doi.org/10.1007/s40264-021-01136-1