Objective: To compare fracture patterns and associated injuries for young patients with high- versus low-energy intertrochanteric hip fractures and to report on factors associated with complications after surgical fixation of high-energy fractures. Design: Retrospective comparative study. Setting: Academic Level 1 Trauma Center. Patients: A total of 103 patients 50 years of age or younger were included: 80 high-energy fractures and 23 low-energy fractures. Intervention: Cephalomedullary nailing (N = 92) or a sliding hip screw (N = 11). Main Outcome Measures: Radiographic characteristics of fracture morphology, implant position, and reduction quality and postoperative complications were the main outcome measures. Results: Compared with young patients with low-energy fractures, those with high-energy fractures had more fracture comminution ( P = 0.013) and higher ISS scores ( P < 0.003) and were more likely to require open reduction ( P < 0.001). Patients with low-energy fractures from a ground-level fall had higher rates of alcohol abuse (0.032), cirrhosis (0.010), and chronic steroid use (0.048). Overall reoperation rate for high-energy fractures was 7%, including 2 IT fracture nonunions (5%) and 1 deep infection (2%). For high-energy fractures, ASA class ( P = 0.026), anterior lag screw position ( P = 0.001), and varus malreduction ( P < 0.001) were associated with malunion. Four-part fracture (OTA/AO 31A2.3/Jensen 5) ( P = 0.028) and residual calcar gap >3 mm ( P = 0.03) were associated with reoperation. Conclusions: Surgical treatment of high-energy IT fractures in young patients is technically demanding with potential untoward outcomes. Injury characteristics and severity are significantly different for young patients with high-energy IT fractures compared with low-energy fractures. For young patients with a high-energy IT fracture, surgeons can anticipate a high rate of associated injuries and complex fracture patterns requiring open reduction. For young patients with a low-energy IT fracture, comanagement with a hospitalist or a geriatrician should be considered because they may be physiologically older. Level of Evidence: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Introduction: Sleep disturbances are associated with pain and mental health. We prospectively compared a cohort of patients with orthopaedic trauma with a control group to establish the prevalence and duration of sleep disturbance and associations between sleep disturbance and pain, mood scores, and functional outcome scores. Methods: Subjects were patients with orthopaedic trauma undergoing in-patient surgical procedures and healthy control subjects from the community. Questionnaires completed by all subjects included the VAS numerical pain rating scale, the abbreviated profile of mood states, Patient-Reported Outcomes Measurement Information System Physical Function, and Patient-Reported Outcomes Measurement Information System Sleep Disturbance. Control subjects completed the surveys once, and subjects with trauma completed them at 2, 6, and 24 weeks postoperatively. Results: Healthy control subjects (28.6 ± 13.2) were significantly younger than patients with trauma (41.8 ± 18.9) (P < 0.001). Compared with control subjects, at 2-week follow-up visit, patients with trauma had worse sleep (P < 0.001) and worse mood (P = 0.006). Across the study period, patients with trauma showed improvements in physical function (P < 0.001) and pain (at rest [P = 0.02], during activity [P = 0.02], and at night [P = 0.002]). In patients with trauma, better sleep disturbance scores were associated with better mood and less pain for all pain metrics (P < 0.001). Discussion: Patients with orthopaedic trauma have worse sleep disturbance scores at 2 weeks postoperatively compared with normal control subjects; this difference attenuated at 6 weeks. Sleep disturbance was found to markedly correlate with pain and mood, with worse sleep quality associated with higher pain and worse mood. Improvement in sleep quality across 24 weeks postoperatively was associated with improvement in mood scores. Conclusion: Patients should be counseled about the likely development of sleep disturbance and the possible association with worse emotional/mental health with worse sleep. Physicians should consider incorporating a multidisciplinary approach to the management of these select patients.

OBJECTIVE:To determine the prevalence and risk factors associated with musculoskeletal injuries sustained in female adolescent volleyball players. METHODS:Volleyball players (n = 276; 13-18 years), with any level of volleyball experience, were recruited. Participants completed a study-specific survey about their overall sport(s) involvement, training modalities, volleyball experience (beginner, intermediate, advanced), annual volume of volleyball play, injuries accrued during volleyball, and care received for injury. RESULTS:Annual volume of volleyball play was higher in advanced than beginner/intermediate players (490.0 hr/yr versus 302.3 hr/yr; p < 0.0001). Nearly 67% (188/276) of participants incurred one or more volleyball-related injuries over the last year. The ankle (40.6%), fingers (36.6%), knee (21.2%), and shoulder (15.5%) were the most frequently reported injury. Injury prevalence was higher in advanced than beginner/intermediate players (73.5% versus 62.0%; p = 0.04). Beginner/intermediate players have significantly higher odds ratio (OR) of sustaining an elbow injury than advanced players (OR 5.88; p = 0.025). 21.5% of injured players missed more than one month of play. CONCLUSION:More competitive and experienced adolescent female players may incur injuries due to progressively higher volumes of play as experience and competition level increase. Players who have committed to only playing volleyball participated in greater volumes of volleyball play, which increases the odds of sustaining an injury. CLINICAL RELEVANCE:Understanding injury risk factors may improve clinical management and injury prevention.