1. Opioid Risk Tool, in-hospital opioid exposure, and opioid demand predict pain outcomes following traumatic injury.
- Author
-
Kessler DA, Webber HE, de Dios C, Yoon JH, Schmitz JM, Lane SD, Harvin JA, Heads AM, Green CE, Kapoor S, Stotts AL, Motley KL, and Suchting R
- Subjects
- Humans, Male, Female, Adult, Middle Aged, Pain Measurement, Risk Assessment, Bayes Theorem, Opioid-Related Disorders, Young Adult, Analgesics, Opioid therapeutic use, Analgesics, Opioid adverse effects, Wounds and Injuries complications, Pain drug therapy, Pain etiology
- Abstract
Prescribed opioids are a mainstay pain treatment after traumatic injury, but a subgroup of patients may be at risk for continued opioid use. We evaluated the predictive utility of a traditional screening tool, the Opioid Risk Tool (ORT), and two other measures: average in-hospital milligram morphine equivalents (MME) per day and an assessment of opioid demand in predicting pain outcomes. Assessments of pain-related outcomes (pain intensity, interference, injury-related stress, and need for additional pain treatment) were administered at 2 weeks and 12 months post-discharge in a sample of 34 patients hospitalized for traumatic injury. Bayesian linear models were used to evaluate changes in responses over time as a function of predictors. High-risk ORT, higher MME per day, and greater opioid demand predicted less change in outcomes over time. This report provides first evidence that malleable factors of opioid and opioid demand have utility in predicting pain outcomes following traumatic injury., Competing Interests: Declaration of conflicting interestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
- Published
- 2024
- Full Text
- View/download PDF