Predictors of High-Dose Initial Opioid Prescriptions in Primary Osteoarthritis: A Single Institution Analysis

CATEGORY: Ankle Arthritis; Other INTRODUCTION/PURPOSE: High-dose opioid prescriptions in osteoarthritis (OA) increase the risk of overdose and chronic opioid dependence, which is associated with worse perioperative outcomes in total joint arthroplasty (TJA). The purpose of this study was to determine the (1) incidence and (2) identify independent risk factors for receiving high-dose initial opioid prescriptions in OA patients. METHODS: A retrospective chart review was performed to evaluate initial outpatient opioid prescriptions for OA in opioid-naïve adult patients at a single academic institution between 2013 and 2020. Patients with prior surgery or opioid prescriptions were excluded. Patient demographic data, medical comorbidities, Charlson Comorbidity Index (CCI) scores, and prescription metadata were recorded. High-dose prescriptions were defined as daily oral morphine equivalents (OME/d) >=50. Univariate analysis and multivariate logistic regression were used to identify independent predictors for high-risk opioid prescriptions. RESULTS: A total of 1,527 patients were identified with an initial opioid prescription for OA, with 21.5% of patients receiving high- dose prescriptions. The majority of high-dose prescriptions (>=50 OME/d) were given oxycodone (56.1%), while low-dose prescriptions (<50 OME/d) were more commonly prescribed hydrocodone-acetaminophen (34.2%) and tramadol (32.5%). Using multivariate logistic regression, patient factors that are independently associated with high-dose prescriptions include decreased age, decreased BMI, white race, and non-orthopaedic encounters. Comorbid factors that were independently predictive of high- dose prescriptions include hip OA, higher CCI scores, and depression. (Table 1) CONCLUSION: Independent predictors for high-dose initial opioid prescriptions in OA include younger age, decreased BMI, white race, non-orthopaedic encounters, hip OA, higher CCI scores, and depression.