Major injury results in an early cascade of immunologic responses that increase susceptibility to infection and multiorgan dysfunction. Detailed immune profiling by mass cytometry has the potential to identify immune signatures that correspond to patient outcomes. Our objective was to determine the prognostic value of immune signatures early after major trauma injury.
 
  Trauma patients (n = 17) were prospectively enrolled between September 2018 and December 2019. Serial whole blood samples were obtained from trauma patients (mean Injury Severity Score, 26.2; standard error of the mean, 3.7) at Days 1 and 3 after injury, and from age- and sex-matched uninjured controls using a standardized protocol for fixation, storage, and labeling. Computational analyses including K-nearest neighbor automated clustering of immune cells and Spearman's correlation analysis were used to identify correlations between cell populations, clinical measures, and patient outcomes.
 
  Analysis revealed nine immune cell clusters that onitoring of immune (sub)-populations may provide clinical decision-making support for at-risk patients early in their hospital course.
 
  Prognostic/Epidemiologic, Level IV.
 Prognostic/Epidemiologic, Level IV.
  The need for extensive surgical debridement with necrotizing soft tissue infections (NSTIs) may put patients at high risk for unplanned readmission. However, there is a paucity of data on the burden of readmission in patients afflicted with NSTI. We hypothesized that unplanned readmission would significantly contribute to the burden of disease after discharge from initial hospitalization.
 
  The Nationwide Readmission Database was used to identify adults undergoing debridement for NSTI hospitalizations from 2010 to 2017.  https://www.selleckchem.com/products/GDC-0449.html  Risk factors for 90-day readmission were assessed by Cox proportional hazards regression.
 
  There were a total of 82,738 NSTI admissions during the study period, of which 25,076 (30.3%) underwent 90-day readmissions. Median time to readmission was 25 days (interquartile range, 9-49 days). Fragmentation of care, longer length of index stay (>2 weeks), and Medicaid status were independent risk factors for readmission. Median cost of a readmission was US $10,543. Readmission added 174,640 hospital days to episodes of care over the study period, resulting in an estimated financial burden of US $1.4 billion.
 
  Unplanned readmission caused by NSTIs is common and costly. Interventions that target patients at risk for readmission may help decrease the burden of disease.
 
  Economic/Epidemiological, level IV.
 Economic/Epidemiological, level IV.
  Classic risk assessment tools often treat patients' risk factors as linear and additive. Clinical reality suggests that the presence of certain risk factors can alter the impact of other factors; in other words, risk modeling is not linear. We aimed to use artificial intelligence (AI) technology to design and validate a nonlinear risk calculator for trauma patients.
 
  A novel, interpretable AI technology called Optimal Classification Trees (OCTs) was used in an 8020 derivation/validation split of the 2010 to 2016 American College of Surgeons Trauma Quality Improvement Program database. Demographics, emergency department vital signs, comorbidities, and injury characteristics (e.g., severity, mechanism) of all blunt and penetrating trauma patients 18 years or older were used to develop, train then validate OCT algorithms to predict in-hospital mortality and complications (e.g., acute kidney injury, acute respiratory distress syndrome, deep vein thrombosis, pulmonary embolism, sepsis). A smartphone applicationcounseling of critically injured trauma patients and their families, and for benchmarking the quality of trauma care.
 We suggest TOP as an AI-based, interpretable, accurate, and nonlinear risk calculator for predicting outcome in trauma patients. Trauma Outcome Predictor can prove useful for bedside counseling of critically injured trauma patients and their families, and for benchmarking the quality of trauma care.
  Negative pressure wound therapy (NPWT) is commonly used for surgical incisions and large wounds, particularly in the context of trauma. Research has shown that patients report that the most painful aspect of NPWT is related to foam dressing changes. This study aimed to determine whether topical use of the vapocoolant anesthetic ethyl chloride would impact patient-reported pain during these procedures.
 
  This study was a single-blinded, placebo-controlled randomized trial in patients who were undergoing NPWT foam dressing change following surgery performed by the orthopedic trauma team. A total of 100 patients were randomized to receive ethyl chloride topical anesthetic spray or placebo (tissue culture grade water) during dressing change. The outcome measure specified prior to enrollment was a mean decrease in patient-reported pain of 1.7 points using a numeric rating scale. Baseline and procedural characteristics were collected to investigate contributions to patient-reported pain. We hypothesized that the Level I.
 Therapeutic, Level I.
  We present a case of an 18-month-old child with early-onset scoliosis in the setting of spinal muscular atrophy (SMA) type 1 whose rapidly progressive scoliosis is successfully managed with magnetic growing rods, the youngest age of implantation in a patient with SMA we are currently aware of. Technical challenges, complications, and outcome are described in this case presentation.
 
  Patients with SMA type 1 and early-onset scoliosis can be managed with growing-rod constructs given dramatic improvements in medical care that have expanded life expectancy.
 Patients with SMA type 1 and early-onset scoliosis can be managed with growing-rod constructs given dramatic improvements in medical care that have expanded life expectancy.
  In patients with spinal metastases, kinematic instability is postulated to be a predictor of pathologic vertebral fractures. However, the relationship between this kinematic instability and the loss of spinal strength remains unknown.
 
  Twenty-four 3-level thoracic and lumbar segments from 8 cadaver spines from female donors aged 47 to 69 years were kinematically assessed in axial compression (180 N) and axial compression with a flexion or extension moment (7.5 Nm). Two patterns of lytic defects were mechanically simulated (1) a vertebral body defect, corresponding to Taneichi model C (n = 13); and (2) the model-C defect plus destruction of the ipsilateral pedicle and facet joint, corresponding to Taneichi model E (n = 11). The kinematic response was retested, and compression strength was measured. Two-way repeated-measures analysis of variance was used to test the effect of each model on the kinematic response of the segment. Multivariable linear regression was used to test the association between the kinematic parameters and compressive strength of the segment.