Preoperative Opioid Use in Patients Undergoing Common Hand Surgeries

PROMIS cluster analysis predicts two-year outcomes in knee surgery patients

Aims & objectives

Meaningful clinical interpretation of orthopaedic patient-reported outcome scores remains challenging. Grouping scores may be more meaningful than individual score analysis. The purpose of this study was to determine if grouping knee surgery patients into four preoperative Patient-Reported Outcomes Measurement Information System (PROMIS) clusters would have prognostic value for two-year postoperative outcomes.

Materials & methods

488 of 697 (70%) patients undergoing elective knee surgery at a single urban institution were enrolled in an orthopaedic registry and completed two-year follow up. Patients were administered questionnaires for PROMIS, International Knee Documentation Committee Score (IKDC), Marx Activity Rating Scale (MARS), and Surgical Satisfaction (SSQ-8). A k-means cluster analysis was performed to identify preoperative PROMIS clusters. Chi-square or Kruskal-Wallis tests were conducted for bivariate analyses. Least-squares multiple linear regression models were performed to identify if cluster group was an independent predictor.

Results

Cluster analysis revealed four clusters of patients. Psychological distress was most significant in determining classification. More impaired clusters were associated with higher rates of arthroplasty, African American race, preoperative opioid use, lower income, higher comorbidity index, and other sociodemographic and operative factors. Worse preoperative cluster status was associated with higher chance of achieving minimally clinically important change (MCID) on all metrics except PROMIS Pain Interference (PI), IKDC, and MARS. Multivariable analysis confirmed better preoperative cluster as predictive of better PROMIS Physical Function (PF), PI, IKDC scores, and satisfaction. Worse preoperative cluster was predictive of greater improvement on PF and PI but not IKDC.

Conclusion

Preoperative PROMIS clusters have prognostic value in predicting outcomes for knee surgery patients. Better preoperative cluster function predicts superior outcomes. While worse preoperative cluster predicts worse outcome, all clusters still significantly improve, so worse preoperative cluster is not a contraindication to surgery.

Complete opioid cessation after surgery improves patient-reported pain measures among chronic opioid users

BACKGROUND

Preoperative chronic opioid use is common, but it is unclear whether complete opioid tapering can be achieved postoperatively without adversely affecting pain control and quality of life. This study was designed to assess the association between complete opioid tapering after surgery and patient-reported outcomes for pain intensity and pain interference.

METHODS

We identified chronic opioid use patients undergoing a spectrum of nonemergency surgical procedures at a single Veterans Affairs medical institution between December 2017 and 2021. All patients were prospectively followed by a transitional pain service that promoted opioid tapering, assessed opioid use (morphine milligram equivalent), and patient-reported outcomes measurement information system for pain intensity (PROMIS-3a) and pain interference (PROMIS-6b). After stratifying based on whether complete versus partial/no opioid tapering was achieved after surgery, longitudinal changes in patient-reported outcomes and morphine milligram equivalents were compared over time. Independent predictors of complete opioid tapering were assessed using logistic regression models.

RESULTS

In total, 341 surgical patients (91% male, mean age 64 years) with chronic opioid use underwent surgery during the study period, of which 44 (13%) completely tapered off opioids within 60 days after discharge from the hospital. Patients who completely tapered had significant improvement in the change in patient-reported outcomes for pain intensity and interference with significant differences at 30 and 60 days after discharge for both measures when compared to the partial/no taper group (both P < .05). In risk-adjusted analyses, patients with lower baseline morphine milligram equivalents and those staying longer in the hospital were more likely to achieve complete opioid tapering (both P < .01).

CONCLUSION

Complete opioid tapering can be successfully achieved after surgery among patients with chronic opioid use with corresponding improvements in self-reported pain intensity and pain interference. Our results suggest that the highest potential for improving patient-reported outcomes with opioid tapering occurs among patients undergoing orthopedic procedures early after surgical discharge.

Factors Associated With Implant Removal Following Plate-and-Screw Fixation of Isolated Metacarpal Fractures

PURPOSE

The incidence of and associated risk factors for implant removal following the plate-and-screw fixation of metacarpal shaft fractures have not been well described. The primary objective of our study was to identify implant-related radiographic parameters associated with implant removal in patients treated with the plate-and-screw fixation of isolated, displaced metacarpal fractures at 2 years of follow-up. The secondary objective of our study was to identify patient-related factors associated with implant removal.

METHODS

A retrospective study of all patients who underwent open treatment of a metacarpal fracture with a plate-and-screw construct from January 1, 2000, to April 30, 2019, at 2 level-1 trauma centers was conducted. After the application of exclusion criteria, we identified 138 patients with a single isolated metacarpal fracture of a nonthumb digit treated with open reduction and internal fixation using a plate-and-screw construct. Our study endpoint was the removal of the plate-and-screw construct or a minimum of 2 years of follow-up without the removal of the hardware. Twenty-three patients achieved our study endpoint as determined using their electronic medical records, and 58 additional patients were reached via telephone to confirm their implant removal status. A bivariate analysis was used to screen for factors associated with implant removal, and variables significant in the bivariate screen were included in a multivariable stepwise logistic regression model.

RESULTS

Twenty-three out of 81 patients (28%) in our final cohort underwent implant removal by the final follow-up visit. In the logistic regression analysis, the distance between the plate and metacarpophalangeal joint, the distance between the plate and carpometacarpal joint, and active smoking were independently associated with implant removal.

CONCLUSIONS

The proximity of metacarpal plates to adjacent joints is associated with subsequent implant removal. Patients may be counseled about the higher risk of implant removal when periarticular metacarpal plating is performed.

TYPE OF STUDY/LEVEL OF EVIDENCE

Prognosis IV.