Predictors of Persistent Opioid Use After Total Joint Arthroplasty
Overview
This retrospective study analyzed 6,432 opioid-naïve patients undergoing total joint arthroplasty to identify predictors of persistent opioid use. Approximately 12.3% of patients continued opioid use between 90 days and 1 year post-surgery, with factors such as smoking, antidepressant use, PTSD, substance-related disorders, back pain, dementia, and BMI over 40 significantly associated with ongoing opioid use.
Background
Total joint arthroplasty is a common elective orthopedic procedure aimed at alleviating pain and improving function in patients with end-stage joint arthritis. Despite its benefits, some patients develop persistent opioid use postoperatively, which can complicate recovery and increase healthcare costs. Orthopedic surgeons are among the highest prescribers of opioids, and identifying risk factors for chronic opioid use in opioid-naïve patients is critical to improving postoperative pain management and reducing opioid dependence.
Data Highlights
Characteristic
Odds Ratio (OR)
Current Smoking
1.65
Antidepressant Use
1.76
Post-Traumatic Stress Disorder (PTSD)
2.07
Substance-Related Disorder
1.69
Back Pain
1.43
Dementia
1.65
Body Mass Index (BMI) > 40
2.50
Age, Sex, Ethnicity
No significant association
Key Findings
12.3% of opioid-naïve patients undergoing total joint arthroplasty exhibited persistent opioid use between 90 days and 1 year postoperatively.
Current smoking status increased the odds of persistent opioid use by 65% (OR 1.65).
Use of antidepressants was associated with a 76% increased risk of ongoing opioid use (OR 1.76).
Diagnoses of PTSD and substance-related disorders were strongly linked to persistent opioid use, with ORs of 2.07 and 1.69, respectively.
Comorbid conditions such as back pain, dementia, and severe obesity (BMI > 40) also significantly raised the risk of continued opioid use.
Demographic factors including age, sex, and ethnicity were not predictive of persistent opioid use in this cohort.
Clinical Implications
Clinicians should consider screening for smoking, mental health disorders, and comorbid conditions such as back pain and obesity when planning postoperative pain management for total joint arthroplasty patients. Early identification of high-risk patients allows for targeted interventions to minimize prolonged opioid use. Utilizing predictive models can aid in risk stratification and guide multimodal analgesic strategies to reduce opioid reliance.
Conclusion
This study provides a validated predictive model identifying key risk factors for persistent opioid use in opioid-naïve patients after total joint arthroplasty. Incorporating these findings into clinical practice may improve postoperative pain management and reduce the burden of chronic opioid use.
References
Examining Predictors of Ongoing Opioid Use Following Total Joint Arthroplasty: A Retrospective Analysis
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