Using the Equatorial Talar Line as a Radiographic Predictor of Sanders Type 3 and 4 Calcaneus Fractures and Lateral Wall Blowout.

OBJECTIVE: To assess the equatorial talar line (ETL) as a sensitive radiographic parameter to predict Sanders type III and IV fractures and the presence of lateral wall blowout. METHODS: Reliability of the ETL was assessed using the intraclass correlation coefficient (ICC) and receiver operating curve (ROC) to predict sensitivity. Using lateral ankle radiographs, raters determined whether the calcaneal tuberosity was "above" (predicting Sanders type I or II) or "below" (predicting Sanders type III or IV and lateral wall blowout). RESULTS: In determining the "above" or "below" location of the ETL, the calculated ICC was 1.0 for each session. As a predictor of Sanders fracture classification type, the calculated ICC was 0.93 for the first session and 0.89 for the second session for an overall ICC of 0.91. As a predictor of Sanders fracture type, ROC analysis yielded an overall sensitivity of 0.82. As a predictor of lateral wall blowout, ROC analysis yielded an overall sensitivity of 0.81. CONCLUSION: The ETL is a reproducible radiographic parameter that can be reliably used to crudely predict between Sanders type I or II (ETL is "above") and Sanders type III or IV (ETL is "below") calcaneus fractures as well as the presence of lateral wall blowout.

No code machine learning: validating the approach on use-case for classifying clavicle fractures.

PURPOSE: We created an infrastructure for no code machine learning (NML) platform for non-programming physicians to create NML model. We tested the platform by creating an NML model for classifying radiographs for the presence and absence of clavicle fractures. METHODS: Our IRB-approved retrospective study included 4135 clavicle radiographs from 2039 patients (mean age 52 ± 20 years, F:M 1022:1017) from 13 hospitals. Each patient had two-view clavicle radiographs with axial and anterior-posterior projections. The positive radiographs had either displaced or non-displaced clavicle fractures. We configured the NML platform to automatically retrieve the eligible exams using the series' unique identification from the hospital virtual network archive via web access to DICOM Objects. The platform trained a model until the validation loss plateaus. Once the testing was complete, the platform provided the receiver operating characteristics curve and confusion matrix for estimating sensitivity, specificity, and accuracy. RESULTS: The NML platform successfully retrieved 3917 radiographs (3917/4135, 94.7 %) and parsed them for creating a ML classifier with 2151 radiographs in the training, 100 radiographs for validation, and 1666 radiographs in testing datasets (772 radiographs with clavicle fracture, 894 without clavicle fracture). The network identified clavicle fracture with 90 % sensitivity, 87 % specificity, and 88 % accuracy with AUC of 0.95 (confidence interval 0.94-0.96). CONCLUSION: A NML platform can help physicians create and test machine learning models from multicenter imaging datasets such as the one in our study for classifying radiographs based on the presence of clavicle fracture.

[Clinical and functional evaluation of pediatric patients with pelvic fracture treated in a third level Hospital]. / Evaluación clínica y funcional de pacientes pediátricos con fractura de pelvis tratados en un Hospital de Tercer Nivel.

INTRODUCTION: pelvic fracture in children is considered one of the most important injuries due to its high mortality. They are rare, but have a major impact on patients' functional outcomes. OBJECTIVE: to evaluate the clinical evolution and functional grade in pediatric patients with pelvic fractures who have already been treated, either conservatively or surgically. MATERIAL AND METHODS: descriptive-cross-sectional-retrospective study. Sample of 24 patients, aged five to 16 years with pelvic fracture, treated from 2016 to 2021. Clinical and functional outcome was assessed using the Barthel index and hip range of motion, as well as surgical or conservative treatment, accompanying lesions and injury mechanism. RESULTS: to find out if there is an association between the Torode and Zieg classifications with the Barthel index and hip range of motion, an association analysis was performed with the 2 statistic, obtaining a 2 value = 19.213. with p = 0.004 for the Barthel index and a 2= 14.253 with p = 0.0026 for hip ranges of motion; these results indicate that there is statistically significant association. CONCLUSION: the most frequent type of pelvic fracture in pediatric patients treated is type III on the Torode and Zieg scale, which according to the Barthel index is associated with a degree of independence and complete hip mobility arches, so the clinical and functional outcome in these patients is high in severe injuries.

INTRODUCCIÓN: la fractura de pelvis en edad pediátrica es considerada de las lesiones más importantes debido a su alta mortalidad; son poco frecuentes, pero tienen gran impacto en el resultado funcional de los pacientes. OBJETIVO: evaluar la evolución clínica y grado funcional en niños con fracturas de pelvis tratados de forma conservadora o quirúrgica. MATERIAL Y MÉTODOS: estudio descriptivo-transversal-retrospectivo. Muestra de 24 pacientes, de cinco a 16 años de edad, con fractura de pelvis, tratados del 2016 al 2021. Se valoró el resultado clínico y funcional mediante el índice de Barthel y arcos de movilidad de cadera, tratamiento quirúrgico o conservador, lesiones acompañantes y mecanismo de lesión. El análisis estadístico se realizó con el software IBM SPSS Statistics®. RESULTADOS: se realizó un análisis de asociación mediante 2 entre las clasificaciones de Torode y Zieg con el índice de Barthel y arcos de movilidad de cadera, obteniendo un valor de 2 = 19.213 con p = 0.004 para índice de Barthel y un valor de 2= 14.253 con p = 0.0026 para arcos de movilidad de cadera; estos resultados indican que hay una asociación estadísticamente significativa. CONCLUSIÓN: el tipo de fractura de pelvis más frecuente en pacientes tratados es el tipo III en la escala de Torode y Zieg, la cual, según el índice de Barthel, se asocia con un grado de independencia y arcos de movilidad de cadera completos, por lo que el resultado clínico y funcional en estos pacientes es alto en lesiones severas.

Fifth Metatarsal Fractures.

Fifth metatarsal features are the most common fractures in the foot. They have a long history that has resulted in many classification systems and little consensus on appropriate treatment. Although there is some agreement among experts, there are also many questions yet to be answered. There is a general consensus that dancer's fractures and zone 1 fractures can generally be treated nonoperatively. There is much more debate about zone 2 and 3 fractures and appropriate treatment guidelines. The authors review the current literature and give the recommendation for treatment based on their experience in a community-based private practice.

Morphological measurements and classification of the navicular bone: a study based on computed tomography imaging.

OBJECTIVE: The purpose of this study was to present the classification of navicular bones and the anatomical basis for the diagnosis and treatment of navicular fractures of the foot. METHOD: 351 computed tomographic (CT) images of the navicular bone were analyzed and classified. The navicular bone's anatomical morphology was measured by three independent researchers in each type. Analysis and recording of the measurement results followed. RESULT: Navicular bones were assorted into three types: I shape(37.04%), II shape(54.41%), and III shape(8.55%). The left and right sides did not differ in any appreciable ways, except ab, bc, and ∠abc (P < 0.05); And all data were statistically different between men and women except for ∠abc (p > 0.05). CONCLUSION: The classification of the navicular bone in this study may be helpful in making the treatment decision for navicular fracture. LEVEL OF CLINICAL EVIDENCE: 4.

Quadrilateral plate classification program of acetabular fractures based on three-column classification: a three-dimensional fracture mapping study.

BACKGROUND: A new classification system for acetabular fractures has been proposed in recent years, which is called the 3-column classification. However, this system does not provide information regarding quadrilateral plate fractures. To address this issue, we utilized three-dimensional (3D) fracture line mapping and heat map to analyze the link between the 3-column classification and quadrilateral plate fractures. METHODS: We collected CT scan data from 177 patients who had been diagnosed with acetabular fractures. Additionally, we utilized a CT scan of a healthy adult to generate a standard acetabular model. We utilized the collected CT data of the fracture to create a 3D model and subsequently reduced it. We then matched each acetabular fracture model with the standard acetabular model and mapped all of the fracture lines to the standard model. 3D fracture lines and heat maps were created by overlapping all fracture lines. Fracture characteristics were then summarized using these maps. RESULTS: This study analyzed a total of 221 acetabular fractures. The most frequently observed fracture type, based on the three-column classification, was A1.2, which corresponds to fractures of the anterior column. In contrast, the least common type of fracture was A4, which represents fractures of the central wall. It was noted that quadrilateral plate fractures were frequently observed in fractures classified as type B and C according to the three-column classification. CONCLUSIONS: Among the three-column classification, the QLP fractures are commonly observed in type B and C. It is important to carefully identify these fractures during the diagnostic process. Therefore, based on the three-column classification, we have amalgamated quadrilateral plate fractures and formulated a classification program for acetabular fractures.

Machine learning model based on radiomics features for AO/OTA classification of pelvic fractures on pelvic radiographs.

Depending on the degree of fracture, pelvic fracture can be accompanied by vascular damage, and in severe cases, it may progress to hemorrhagic shock. Pelvic radiography can quickly diagnose pelvic fractures, and the Association for Osteosynthesis Foundation and Orthopedic Trauma Association (AO/OTA) classification system is useful for evaluating pelvic fracture instability. This study aimed to develop a radiomics-based machine-learning algorithm to quickly diagnose fractures on pelvic X-ray and classify their instability. data used were pelvic anteroposterior radiographs of 990 adults over 18 years of age diagnosed with pelvic fractures, and 200 normal subjects. A total of 93 features were extracted based on radiomics:18 first-order, 24 GLCM, 16 GLRLM, 16 GLSZM, 5 NGTDM, and 14 GLDM features. To improve the performance of machine learning, the feature selection methods RFE, SFS, LASSO, and Ridge were used, and the machine learning models used LR, SVM, RF, XGB, MLP, KNN, and LGBM. Performance measurement was evaluated by area under the curve (AUC) by analyzing the receiver operating characteristic curve. The machine learning model was trained based on the selected features using four feature-selection methods. When the RFE feature selection method was used, the average AUC was higher than that of the other methods. Among them, the combination with the machine learning model SVM showed the best performance, with an average AUC of 0.75±0.06. By obtaining a feature-importance graph for the combination of RFE and SVM, it is possible to identify features with high importance. The AO/OTA classification of normal pelvic rings and pelvic fractures on pelvic AP radiographs using a radiomics-based machine learning model showed the highest AUC when using the SVM classification combination. Further research on the radiomic features of each part of the pelvic bone constituting the pelvic ring is needed.

[Postoperative outcome of 30 patients with navicular bone fractures-In connection with AOFAS-Score, SF-12 and fracture classifications]. / Das postoperative Outcome von 30 Patienten mit Os-naviculare-Fraktur ­ im Zusammenhang mit AOFAS-Score, SF-12 und Frakturklassifikationen.

BACKGROUND: Fractures of the navicular bone are rare and the number of those treated surgically is even smaller. Moreover, scientific analyses on this topic are only sporadically present in the literature, therefore this retrospective and monocentric study was initiated. METHODS: A total of 30 patients with 30 fractures were included. With the exception of one primary fusion, all patients underwent open reduction with internal osteosynthesis. Clinical and radiological follow-up was performed at least 2 years postoperatively using AOFAS-Score, SF-12 and a radiological examination. The primary objectives were the clinical and radiologic outcomes as mid-term to long-term outcomes. The secondary objective was to compare these results with two existing computed tomography (CT) fracture classifications in terms of their association with the outcome. RESULTS: The median follow-up was 7.8 years (range 2-16.2 years) postoperatively. One patient suffered an infection, four patients required secondary arthrodesis and eight patients had to change their occupation. The mean AOFAS-Score was 80.8/100 and the mean physical and mental SF-12 component summary scores were 47.1 and 55.7 points, respectively. Male sex and arthrodesis were associated with worse outcomes in both scores but not patient age or ipsilateral concomitant injuries. Both CT fracture classifications showed low predictive value. CONCLUSION: The severity of the injury in the preoperative CT showed no connection with the clinical outcome in the AOFAS-Score and SF-12 scores. Posttraumatic osteoarthritis and secondary arthrodesis are associated with a poor outcome. In the course of the observational period the reduction results improved, which was accompanied by a better clinical outcome.

Three-dimensional Mapping Analysis of Talus Fractures and Demonstration of Different Surgical Approaches for Talus Fractures.

OBJECTIVE: The talus is an important component in the ankle, and its treatment after injury is crucial. However, complications and adverse events due to incomplete traditional classifications may still occur, and these classifications fail to analyze the patterns and distribution of fractures from a three-dimensional perspective. Therefore, in this study, we aimed to analyze the location and distribution of fracture lines in different types of talus fractures using three-dimensional (3D) and heat mapping techniques. Additionally, we aimed to determine the surface area of the talus that can be utilized for different approaches of internal fixation, aiding in the planning of surgical procedures. METHODS: We retrospectively analyzed data from CT scans from 126 patients diagnosed with talus fractures at our two hospitals. We extracted the CT data of a healthy adult and created a standard talus model. We performed 3D reconstruction using patients' CT images and superimposed the fracture model onto the standard model for drawing fracture lines. Subsequently, we converted the fracture lines into a heat map for visualization. Additionally, we measured 20 specimens to determine the boundary for various ligaments attached to the talus. We determined the surface area of the talus available for different surgical approaches by integrating the boundary data with previously reported data on area of exposure. RESULTS: Without considering the displacement distance of the fracture, fracture types were classified as follows, by combining Hawkins and Sneppen classifications: talar neck, 41.3%; posterior talar tubercle, 22.2%; body for the talus and comminuted, 17.5%; lateral talar tubercle, 11.9%; and talar head, 7.1%. We established fracture line and heat maps using this classification. Additionally, we demonstrated the available area for anteromedial, anterolateral, posteromedial, posterolateral, and medial malleolus osteotomy and Chaput osteotomy approaches. CONCLUSION: Fracture line and heat map analyses can aid surgeons in planning a single or combined surgical approach for the reduction and internal fixation of talus fractures. Demonstrating the different surgical approaches can help surgeons choose the most effective technique for individual cases.

The Kappa Paradox Explained.

Observer reliability studies for fracture classification systems evaluate agreement using Cohen's κ and absolute agreement as outcome measures. Cohen's κ is a chance-corrected measure of agreement and can range between 0 (no agreement) and 1 (perfect agreement). Absolute agreement is the percentage of times observers agree on the matter they have to rate. Some studies report a high-absolute agreement but a relatively low κ value, which is counterintuitive. This phenomenon is referred to as the Kappa Paradox. The objective of this article was to explain the statistical phenomenon of the Kappa Paradox and to help readers and researchers to recognize and prevent this phenomenon.

A computed tomography based survey study investigating the agreement of the therapeutic strategy for fragility fractures of the pelvis.

Treatment recommendations for fragility fractures of the pelvis (FFP) have been provided along with the good reliable FFP classification but they are not proven in large studies and recent reports challenge these recommendations. Thus, we aimed to determine the usefulness of the FFP classification determining the treatment strategy and favored procedures in six level 1 trauma centers. Sixty cases of FFP were evaluated by six experienced pelvic surgeons, six inexperienced surgeons in training, and one surgeon trained by the originator of the FFP classification during three repeating sessions using computed tomography scans with multiplanar reconstruction. The intra-rater reliability and inter-rater reliability for therapeutic decisions (non-operative treatment vs. operative treatment) were moderate, with Fleiss kappa coefficients of 0.54 (95% confidence interval [CI] 0.44-0.62) and 0.42 (95% CI 0.34-0.49). We found a therapeutic disagreement predominantly for FFP II related to a preferred operative therapy for FFP II. Operative treated cases were generally treated with an anterior-posterior fixation. Despite the consensus on an anterior-posterior fixation, the chosen procedures are highly variable and most plausible based on the surgeon's preference.

Minimizing misclassification bias with a model to identify acetabular fractures using health administrative data: A cohort study.

ABSTRACT: Acetabular fractures (AFs) are relatively uncommon thereby limiting their study. Analyses using population-based health administrative data can return erroneous results if case identification is inaccurate ('misclassification bias'). This study measured the impact of an AF prediction model based exclusively on administrative data upon misclassification bias.We applied text analytical methods to all radiology reports over 11 years at a large, tertiary care teaching hospital to identify all AFs. Using clinically-based variable selection techniques, a logistic regression model was created.We identified 728 AFs in 438,098 hospitalizations (15.1 cases/10,000 admissions). The International Classification of Disease, 10th revision (ICD-10) code for AF (S32.4) missed almost half of cases and misclassified more than a quarter (sensitivity 51.2%, positive predictive value 73.0%). The AF model was very accurate (optimism adjusted R2 0.618, c-statistic 0.988, calibration slope 1.06). When model-based expected probabilities were used to determine AF status using bootstrap imputation methods, misclassification bias for AF prevalence and its association with other variables was much lower than with International Classification of Disease, 10th revision S32.4 (median [range] relative difference 1.0% [0%-9.0%] vs 18.0% [5.4%-75.0%]).Lone administrative database diagnostic codes are inadequate to create AF cohorts. The probability of AF can be accurately determined using health administrative data. This probability can be used in bootstrap imputation methods to importantly reduce misclassification bias.

Accuracy of institutional orthopedic trauma databases: a retrospective chart review.

INTRODUCTION: Academic trauma institutions rely on fracture databases as research and quality control tools. Frequently, these databases are populated by trainees, but the completeness and accuracy of such databases has not yet been evaluated. The purpose of this study is to determine the capture rate of a resident-populated database in collecting extremity fractures and to determine the accuracy of assigned Orthopaedic Trauma Association (OTA) classifications. MATERIALS AND METHODS: A retrospective study was performed at a level 1 trauma center of all adult patients who underwent treatment for extremity fractures after an emergency department or inpatient consultation. A 20% random sample was taken from these entries and compared to a resident-populated fracture database designed to capture the same patients. For all matching records containing a resident-assigned OTA classification, relevant imaging was blindly reviewed by a trauma fellowship-trained orthopedic attending surgeon for fracture pattern classification. Resident OTA classifications were compared to this gold standard to determine overall accuracy rate. RESULTS: Three hundred eighteen (80%) out of 400 entries were captured by the resident-populated database. Two hundred thirty-one of these 318 entries contained an OTA classification. One hundred fifty-three (66%) of these 231 entries demonstrated concordance between resident and attending assigned OTA classifications. On subgroup analysis, 133 (70%) of the 190 lower extremity classifications were accurately identified as compared to just 20 (49%) of the 41 upper extremity classifications (p = 0.009). Seventy-nine (65%) of the 121 end segment fractures showed agreement versus 42 (67%) of the 63 diaphyseal injury patterns (p = 0.85). Accuracy of classification did not significantly vary by resident year of training (p = 0.142). CONCLUSION: Trainee generated databases at academic institutions may be subject to incomplete data entry and inaccurate fracture classifications. Quality control measures should be instituted to ensure accuracy in such databases if efforts are invested with the expectation of useful information.

Impact of the COVID-19 pandemic on orthopedic fracture characteristics in three hospitals in Turkey: A multi-center epidemiological study.

OBJECTIVES: The aim of this study was to evaluate the impact of novel coronavirus-2019 (COVID-19) on the epidemiological characteristics of orthopedic fractures. PATIENTS AND METHODS: A total of 2,960 patients (1,755 males, 1,205 females; mean age: 39.6 years; range, 1 to 98 years) with orthopedic fractures were included in the study: 552 patients during the pandemic period (March 10th and July 1st, 2020) and 1,158 control patients in the same period 2019 and 1,250 control patients in 2018. Epidemiological characteristics, injury mechanisms, fracture locations and treatment details of the patients were analyzed and compared between 2018, 2019 and 2020 for adult and pediatric populations. RESULTS: Of a total of 552 patients, 485 were adults and 67 were pediatric patients. In the control groups, of 1,158 patients (2019), 770 were adults and 378 were pediatric patients and, of 1,250 patients (2018), 857 were adults and 393 were pediatric patients. The proportion of proximal femur and hand fractures significantly increased during the pandemic period (p=0.025 and p=0.038, respectively). The most frequent surgical indication in the pandemic period was proximal femoral fracture. The proportion of home accidents as an injury mechanism significantly increased in the pandemic period compared to 2018 and 2019 (48.5% vs. 18.6% and 20.6%, respectively; p=0.000). The proportion of female pediatric patients significantly increased during the pandemic period compared to 2018 and 2019 (44.8% vs. 25.4% and 27.2%, respectively, p=0.004). The proportion of forearm fractures (p=0.001) also increased, and the proportion of tibia-fibula fractures (p=0.03) decreased. The most frequent surgical indication in pediatric patients was distal humeral fracture in both groups. CONCLUSION: During the pandemic period, proximal femoral fractures in the elderly remained a concern. In-home preventative strategies may be beneficial to reduce the incidence of hip fractures in the elderly.

A nomogram to predict arterial bleeding in patients with pelvic fractures after blunt trauma: a retrospective cohort study.

BACKGROUND: Pelvic bone fractures are one of the biggest challenges faced by trauma surgeons. Especially, the presence of bleeding and hemodynamic instability features is associated with high morbidity and mortality in patients with pelvic fractures. However, prediction of the occurrence of arterial bleeding causing massive hemorrhage in patients with pelvic fractures is difficult. Therefore, the aim of this study was to develop a nomogram to predict arterial bleeding in patients with pelvic bone fractures after blunt trauma. METHODS: The medical records of 1404 trauma patients treated between January 2013 and August 2017 were retrospectively reviewed. Patients older than 15 years with a pelvic fracture due to blunt trauma were enrolled (n = 148). The pelvic fracture pattern on anteroposterior radiography was classified according to the Orthopedic Trauma Association/Arbeitsgemeinschaft fur Osteosynthesefragen (OTA/AO) system. Multivariable logistic regression modeling was used to determine the independent risk factors for arterial bleeding. A nomogram was constructed based on the identified risk factors. RESULTS: The most common pelvic fracture pattern was type A (58.8%), followed by types B (34.5%) and C (6.7%). Of the 148 patients, 28 (18.9%) showed pelvic arterial bleeding on contrast-enhanced computed tomography or angiography, or in the operative findings. The independent risk factors for arterial bleeding were a type B or C pelvic fracture pattern, body temperature < 36 °C, and serum lactate level > 3.4 mmol/L. A nomogram was developed using these three parameters, along with a systolic blood pressure < 90 mmHg. The area under the receiver operating characteristic curve of the predictive model for discrimination was 0.8579. The maximal Youden index was 0.1527, corresponding to a cutoff value of 68.65 points, which was considered the optimal cutoff value for predicting the occurrence of arterial bleeding in patients with pelvic bone fractures. CONCLUSIONS: The developed nomogram, which was based on the initial clinical findings identifying risk factors for arterial bleeding, is expected to be helpful in rapidly establishing a treatment plan and improving the prognosis for patients with pelvic bone fractures.

Impact of the COVID-19 shutdown on orthopedic trauma numbers and patterns in an academic Level I Trauma Center in Berlin, Germany.

BACKGROUND: The COVID-19 pandemic led to the implementation of drastic shutdown measures worldwide. While quarantine, self-isolation and shutdown laws helped to effectively contain and control the spread of SARS-CoV-2, the impact of COVID-19 shutdowns on trauma care in emergency departments (EDs) remains elusive. METHODS: All ED patient records from the 35-day COVID-19 shutdown (SHUTDOWN) period were retrospectively compared to a calendar-matched control period in 2019 (CTRL) as well as to a pre (PRE)- and post (POST)-shutdown period in an academic Level I Trauma Center in Berlin, Germany. Total patient and orthopedic trauma cases and contacts as well as trauma causes and injury patterns were evaluated during respective periods regarding absolute numbers, incidence rate ratios (IRRs) and risk ratios (RRs). FINDINGS: Daily total patient cases (SHUTDOWN vs. CTRL, 106.94 vs. 167.54) and orthopedic trauma cases (SHUTDOWN vs. CTRL, 30.91 vs. 52.06) decreased during the SHUTDOWN compared to the CTRL period with IRRs of 0.64 and 0.59. While absolute numbers decreased for most trauma causes during the SHUTDOWN period, we observed increased incidence proportions of household injuries and bicycle accidents with RRs of 1.31 and 1.68 respectively. An RR of 2.41 was observed for injuries due to domestic violence. We further recorded increased incidence proportions of acute and regular substance abuse during the SHUTDOWN period with RRs of 1.63 and 3.22, respectively. CONCLUSIONS: While we observed a relevant decrease in total patient cases, relative proportions of specific trauma causes and injury patterns increased during the COVID-19 shutdown in Berlin, Germany. As government programs offered prompt financial aid during the pandemic to individuals and businesses, additional social support may be considered for vulnerable domestic environments.

Retrosternal hematoma in sternal fracture for prediction of concomitant injury on chest CT.

BACKGROUND: Isolated sternal fracture, a benign injury, has been increasing in the pan-scan era, although one-third of patients with sternal fracture still has trouble with concomitant injury. The differentiation of these two entities is important to optimize patient management. PURPOSE: To evaluate correlation between retrosternal hematoma and concomitant injury in patients with sternal fracture and to identify predicting factors for concomitant injury in sternal fracture. MATERIAL AND METHODS: A total of 139 patients (84 men; mean age = 54.9 ± 15.3 years) with traumatic sternal fracture were enrolled in this study. We reviewed medical charts and multiplanar computed tomography (CT) images to evaluate cause, location, and degree of sternal fracture, retrosternal hematoma, and concomitant injury. Univariate and multivariate analysis were used to identify variables that were associated with concomitant injury. RESULTS: Concomitant injury on chest CT was observed in 85 patients with sternal fracture. Of the patients, 98 (70.5%) were accompanied by retrosternal hematoma. Multivariate analysis revealed that retrosternal hematoma (odds ratio [OR] = 5.350; P < 0.001), manubrium fracture (OR = 6.848; P = 0.015), and motor vehicle accident (OR = 0.342; P = 0.015) were significantly associated with sternal fracture with concomitant injury. CONCLUSION: Manubrium fracture and retrosternal hematoma portend a high risk of concomitant injury and indicate the need for further clinical and radiologic work-up.

Complex open elbow fracture Gustilo-Anderson type IIIB treated with the primary elbow arthroplasty: A case report.

Total elbow arthroplasty as a treatment option for open elbow fracture is relatively rare described. We reported a 39 years old polytrauma patient with complex open elbow fracture (Gustilo-Anderson type IIIB). The patient presented with large soft tissues defect on dorsal part of the left elbow, ulnar palsy due to the irreparable loss of the ulnar nerve, distal triceps loss due to the complete loss of the olecranon, loss of both humeral condyles with collateral ligaments and complex elbow instability. Only few similar cases have been published. Reconstructive surgery included repetitive radical debridement, irrigation, vacuum assisted closure system therapy, external fixation, coverage of the soft tissue defect with fascia-cutaneous flap from the forearm. Four months after the injury, total elbow arthroplasty with autologous bone graft (from the proximal radius) inserted in the ulnar component, was performed. At 3 years postoperatively, the patient is able to perform an active flexion from 0° to 110° with full prono-supination. Only passive extension is allowed. The ulnar neuropathy is persistent. Patient has no signs of infection or loosening of the prosthesis.