Objectives: To develop an accurate machine learning (ML) predictive model incorporating patient, fracture, and trauma characteristics to identify individual patients at risk of an (occult) PMF. Methods: Databases of 2 studies including patients with TSFs from 2 Level 1 trauma centers were combined for analysis. Using ten-fold cross-validation, 4 supervised ML algorithms were trained in recognizing patterns associated with PMFs: (1) Bayes point machine; (2) support vector machine; (3) neural network; and (4) boosted decision tree. Performance of each ML algorithm was evaluated and compared based on (1) C-statistic; (2) calibration slope and intercept; and (3) Brier score. The best-performing ML algorithm was incorporated into an online open-access prediction tool. Results: Total data set included 263 patients, of which 28% had a PMF. Training of the Bayes point machine resulted in the best-performing prediction model reflected by good C-statistic, calibration slope, calibration intercept, and Brier score of 0.89, 1.02, −0.06, and 0.106, respectively. This prediction model was deployed as an open-access online prediction tool. Conclusion: A ML-based prediction model accurately predicted the probability of a (occult) PMF in patients with a TSF based on patient- and fracture-specific characteristics. This prediction model can guide surgeons in their diagnostic workup and preoperative planning. Further research is required to externally validate the model before implementation in clinical practice. Level of Evidence: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.
Objectives: To investigate the incidence of concomitant posterior malleolar fractures (PMFs) in operative, distal-third, spiral tibia fractures. Design: Prospective protocol with retrospective review of data. Setting: Single, Level 1 trauma center. Patients/Participants: One hundred ninety-three consecutive, skeletally mature patients with operatively treated fractures of the distal-third, tibial shaft and metaphysis. Pilon fractures were excluded. Intervention: Computed tomography (CT) scans were obtained in all distal-third, spiral fractures of the tibia to determine fracture morphology and presence of a PMF. Main Outcome Measurements: The incidence of concurrent PMFs in operative spiral fractures of the distal tibia. Results: Twenty-six distal-third, spiral fractures were identified with an ipsilateral PMF diagnosed in 92.3% of cases (24 cases). PMFs were over 25 times more likely to occur in distal-third, spiral fractures when compared with other distal-third fracture patterns (relative risk = 25.7, 95% confidence interval, 11.6–56.8). PMFs were treated with supplemental fixation in 23/24 (95.8%) cases. Conclusions: There is a high incidence of concomitant, ipsilateral fractures of the posterior malleolus in patients presenting with operative distal-third, spiral fractures of the tibia. A preoperative ankle computed tomography should be strongly considered in all cases with this specific fracture morphology. Level of Evidence: Diagnostic Level III. See Instructions for Authors for a complete description of levels of evidence.
The CARDS classification system represents a reliable method for classifying cases of DS. Our results indicate that kyphotic segmental alignment (CARDS D) may be a less common, yet clinically distinct subset of DS characterized by worse preoperative back pain. CARDS type D cases may also show a greater degree of improvement in multiple outcome measures following surgical intervention.
Proximal humerus fractures and rotator cuff tears have been shown to have increasing rates with advancing age, theoretically leading to significant overlap in the 2 pathologies. The goal of this study was to examine the prevalence, associated factors, and effect on treatment of rotator cuff tears in surgically treated proximal humerus fractures. A retrospective review was performed of all patients who had surgery for a proximal humerus fracture from January 2007 to June 2012 in the shoulder department of a large academic institution. Patient demographics, the presence and management of rotator cuff tears, and surgical factors were recorded. Regression analysis was performed to determine which factors were associated with rotator cuff tears. This study reviewed 349 fractures in 345 patients. Of these, 30 (8.6%) had concomitant rotator cuff tears. Those with a rotator cuff tear were older (average age, 68.7 vs 63.1 years), were more likely to have had a dislocation (40% vs 12.5%), and were more likely to have undergone subsequent arthroscopic repair or reverse total shoulder arthroplasty than those without a rotator cuff tear. Most (22 of 30) were treated with suture repair at the time of surgery, but 5 patients underwent reverse total shoulder arthroplasty based primarily on the intraoperative finding of a significant rotator cuff tear. A concomitant rotator cuff tear in association with a proximal humerus fracture is relatively common. Rotator cuff tears are associated with older patients and those with a fracture-dislocation. In rare cases, these cases may require the availability of a reverse shoulder prosthesis.
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