4.6 Article

Preoperative Opioid Utilization Patterns and Postoperative Opioid Utilization: A Retrospective Cohort Study

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ANESTHESIOLOGY
卷 135, 期 6, 页码 1015-1026

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/ALN.0000000000004026

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资金

  1. National Institutes of Health (Bethesda, Maryland) Anesthesia Training Grant in Biomedical Research [NIH T32 GM 089626]
  2. National Institutes of Health [NS114926, AG058417, HL139844, DE027728]
  3. Bill and Melinda Gates Foundation (Seattle, Washington)
  4. March of Dimes (Arlington, Virginia)
  5. National Institute on Drug Abuse (Bethesda, Maryland) [K08DA042314]
  6. National Institutes of Health National Center for Advancing Translational Science Clinical and Translational Science Award [UL1 TR001085]
  7. Stanford University

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The study found that changes in preoperative opioid utilization were not clinically significant for several postoperative outcomes, with patients who gradually decreased opioid utilization having lower postoperative opioid usage and patients who gradually increased usage having slightly lower usage.
Background: Among chronic opioid users, the association between decreasing or increasing preoperative opioid utilization and postoperative outcomes is unknown. The authors hypothesized that decreasing utilization would be associated with improved outcomes and increasing utilization with worsened outcomes. Methods: Using commercial insurance claims, the authors identified 57,019 chronic opioid users (10 or more prescriptions or 120 or more days supplied during the preoperative year), age 18 to 89 yr, undergoing one of 10 surgeries between 2004 and 2018. Patients with a 20% or greater decrease or increase in opioid utilization between preoperative days 7 to 90 and 91 to 365 were compared to patients with less than 20% change (stable utilization). The primary outcome was opioid utilization during postoperative days 91 to 365. Secondary outcomes included alternative measures of postoperative opioid utilization (filling a minimum number of prescriptions during this period), postoperative adverse events, and healthcare utilization. Results: The average age was 63 +/- 13 yr, with 38,045 (66.7%) female patients. Preoperative opioid utilization was decreasing for 12,347 (21.7%) patients, increasing for 21,330 (37.4%) patients, and stable for 23,342 (40.9%) patients. Patients with decreasing utilization were slightly less likely to fill an opioid prescription during postoperative days 91 to 365 compared to stable patients (89.2% vs. 96.4%; odds ratio, 0.323; 95% CI, 0.296 to 0.352; P < 0.001), though the average daily doses were similar among patients who continued to utilize opioids during this timeframe (46.7 vs. 46.5 morphine milligram equivalents; difference, 0.2; 95% CI, -0.8 to 1.2; P = 0.684). Of patients with increasing utilization, 93.6% filled opioid prescriptions during this period (odds ratio, 0.57; 95% CI, 0.52 to 0.62; P < 0.001), with slightly lower average daily doses (44.3 morphine milligram equivalents; difference, -2.2; 95% CI, -3.1 to -1.3; P < 0.001). Except for alternative measures of persistent postoperative opioid utilization, there were no clinically significant differences for the secondary outcomes. Conclusions: Changes in preoperative opioid utilization were not associated with clinically significant differences for several postoperative outcomes including postoperative opioid utilization.

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