Association Between 6-Week Postdischarge Risk Classification and 12-Month Outcomes After Orthopedic Trauma.

Importance: Numerous studies have demonstrated that long-term outcomes after orthopedic trauma are associated with psychosocial and behavioral health factors evident early in the patient's recovery. Little is known about how to identify clinically actionable subgroups within this population. Objectives: To examine whether risk and protective factors measured at 6 weeks after injury could classify individuals into risk clusters and evaluate whether these clusters explain variations in 12-month outcomes. Design, Setting, and Participants: A prospective observational study was conducted between July 16, 2013, and January 15, 2016, among 352 patients with severe orthopedic injuries at 6 US level I trauma centers. Statistical analysis was conducted from October 9, 2017, to July 13, 2018. Main Outcomes and Measures: At 6 weeks after discharge, patients completed standardized measures for 5 risk factors (pain intensity, depression, posttraumatic stress disorder, alcohol abuse, and tobacco use) and 4 protective factors (resilience, social support, self-efficacy for return to usual activity, and self-efficacy for managing the financial demands of recovery). Latent class analysis was used to classify participants into clusters, which were evaluated against measures of function, depression, posttraumatic stress disorder, and self-rated health collected at 12 months. Results: Among the 352 patients (121 women and 231 men; mean [SD] age, 37.6 [12.5] years), latent class analysis identified 6 distinct patient clusters as the optimal solution. For clinical use, these clusters can be collapsed into 4 groups, sorted from low risk and high protection (best) to high risk and low protection (worst). All outcomes worsened across the 4 clinical groupings. Bayesian analysis shows that the mean Short Musculoskeletal Function Assessment dysfunction scores at 12 months differed by 7.8 points (95% CI, 3.0-12.6) between the best and second groups, by 10.3 points (95% CI, 1.6-20.2) between the second and third groups, and by 18.4 points (95% CI, 7.7-28.0) between the third and worst groups. Conclusions and Relevance: This study demonstrates that during early recovery, patients with orthopedic trauma can be classified into risk and protective clusters that account for a substantial amount of the variance in 12-month functional and health outcomes. Early screening and classification may allow a personalized approach to postsurgical care that conserves resources and targets appropriate levels of care to more patients.

Themes and gaps in research for opioid use and misuse pertinent to orthopaedic injury patients.

INTRODUCTION: Prescription opioid use and misuse has accelerated rapidly in the United States over the past 2 decades. Orthopaedic surgeons are the third highest prescribers of opioids, and thus are contributing to this problem at a significant rate. Despite a surge in the number of publications on this issue, there has been little emphasis in the literature on disentangling the various factors contributing to opioid use and misuse among fracture patients. The goal of this study was to describe areas of focus and identify knowledge gaps present in the current literature on this important issue. METHODS: We employed a scoping review technique due to its ability to successfully address a broad research question. In order to better understand the type of information deemed relevant by opioid researchers, we further analyzed our search results by sorting the publications into the following categories: consumer-focused, provider-focused, focus on substitutes, industry-focused, and focus on regulations (at the institution, profession, and government level). RESULTS: The search strategies generated 8760 citations; of these, 1166 publications satisfied our inclusion criteria. Around 607 of these final abstracts were marked as "extremely relevant" (52%) and the other 559 (48%) were marked "relevant." About 36.4% of the total included articles applied to the providers and 19.6% provided information on the consumer. A total of 25.2% of the included papers concerned substitutes for opioids, 15.7% focused on regulatory power in the opioid industry, and 14% considered opioids as an industry, including power of both current stakeholders and potential new entrants. DISCUSSION: The present study provides a thorough summary of existing literature on opioid use and misuse relevant to musculoskeletal trauma patients. Furthermore, the categorical division of the literature provides a unique perspective into the drivers contributing to the opioid epidemic, and may assist in development of effective interventions to reduce excessive opioid use following traumatic injuries. Our review allowed us to identify important aspects of the opioid industry and various drivers of abuse that were absent from the literature including involvement of the pharmaceutical industry on the opioid epidemic, the involvement of insurance companies in opioid distribution, and the use of nonopioid alternative medications such as nonsteroidal anti-inflammatory drugs (NSAIDs).

Risk Factors for Failure of Bone Grafting of Tibia Nonunions and Segmental Bone Defects: A New Preoperative Risk Assessment Score.

OBJECTIVE: To develop a clinically useful prediction model of success at the time of surgery to promote bone healing for established tibial nonunion or traumatic bone defects. DESIGN: Retrospective case controlled. SETTING: Level 1 trauma center. PATIENTS: Adult patients treated with surgery for established tibia fracture nonunion or traumatic bone defects from 2007 to 2016. Two hundred three patients met the inclusion criteria and were available for final analysis. INTERVENTION: Surgery to promote bone healing of established tibia fracture nonunion or segmental defect with plate and screw construct, intramedullary nail fixation, or multiplanar external fixation. MAIN OUTCOME MEASURES: Failure of the surgery to promote bone healing that was defined as unplanned revision surgery for lack of bone healing or deep infection. No patients were excluded who had a primary outcome event. RESULTS: Multivariate logistic modeling identified 5 significant (P < 0.05) risk factors for failure of the surgery to promote bone healing: (1) mechanism of injury, (2) Increasing body mass index, (3) cortical defect size (mm), (4) flap size (cm), and (5) insurance status. A prediction model was created based on these factors and awarded 0 points for fall, 17 points for high energy blunt trauma (OR = 17; 95% CI, 1-286, P = 0.05), 22 points for industrial/other (OR = 22; 95% CI, 1-4, P = 0.04), and 28 points for ballistic injuries (OR = 28; 95% CI, 1-605, P = 0.04). One point is given for every 10 cm of flap size (OR = 1; 95% CI, 1-1.1, P < 0.001), 10 mm of mean cortical gap distance (OR = 1; 95% CI, 1-2, P = 0.004), and 10 units BMI, respectively (OR = 1.5; 95% CI, 1-3, P = 0.16). Two points are awarded for Medicaid or no insurance (OR = 2; 95% CI, 1-5, P = 0.035) and 3 points for Medicare (3; 95% CI, 1-9, P = 0.033). Each 1-point increase in risk score was associated with a 6% increased chance of requiring at least 1 revision surgery (P < 0.001). CONCLUSIONS: This study presents a clinical score that predicts the likelihood of success after surgery for tibia fracture nonunions or traumatic bone defects and may help clinicians better determine which patients are likely to fail these procedures and require further surgery.