Elbow fracture-dislocation combined with Galeazzi fracture in adult: A case report and literature review

INTRODUCTIONGaleazzi fracture associated with ipsilateral posterior elbow dislocation and radial head fracture is a rare pattern of injury. Few reports exist that describes this injury pattern and its treatment. We describe a case report of simultaneous occurrence of Galeazzi fracture and ipsilateral dislocation of elbow.PRESENTATION OF CASEA 58 year-old female presented with Galeazzi fracture and posterior elbow dislocation associated with radial head fracture of left upper extremity. This was managed with closed reduction of the elbow, open reduction and internal fixation of the radial shaft fracture and K-wire stabilisation of the unstable distal radioulnar joint. Prophylactic fasciotomy was performed. At 10 months follow-up, the outcome was favourable with the American shoulder and elbow surgeon score of 92 and the disabilities of the arm, shoulder and hand score of 18.DISCUSSIONThe presumed mechanism of the injury was a forceful axial loading of a hyperpronated forearm and extended elbow. Our literature review shows that this pattern of injury occurs as a result of high energy trauma in young individuals, and successful outcome can be achieved by addressing each component of this complex injury individually.CONCLUSIONSimultaneous occurrence of elbow dislocation and Galeazzi fracture seems to be the result of extreme axial force and unique position of upper extremity at the time of impact. Individualised approach to each component of this injury can result in favourable outcome.     

Cigarette smoking and associated risk of multiple sclerosis in the Iranian population

Exposure to cigarette smoke is emerging as an environmental risk factor for multiple sclerosis (MS). We investigated the possible association between environmental tobacco smoke, its cumulative exposure, and MS risk. We used data from the Iranian Multiple Sclerosis Registry to identify a case-control of 662 patients who had MS and a comparison group of 394 patients. Information regarding current smoking status, including the number of cigarettes smoked per day, duration, and smoking pack-years indicative of cumulative dose of tobacco smoked was obtained. We analyzed the incidence of MS among ever–smokers who had been smokers during their disease course and prior to disease onset in comparison with never–smokers who had never been exposed by calculating the odds ratio (OR) with a 95% confidence interval (CI) employing logistic regression. Of the 662 MS patients, there were 523 women (79.0%) and 139 men (21.0%), with a mean age of 31 ± 10.0 years at disease onset. The risk for MS was increased among ever–smokers (OR = 1.78, 95% CI = 1.22–2.59, p = 0.03) compared to never–smokers. As compared with never smokers, the OR for patients with 6–10 pack years was 2.91 for men (95% CI = 1.11–9.47, p = 0.03) and 1.69 for women (95% CI = 1.02–6.45, p = 0.04). Our results demonstrate that cigarette smoking is significantly associated with an increased risk for MS. The risk effects of smoking were more noticeable in male patients and at higher tobacco doses.     

Oblique proximal locking screw in tibial fracture intramedullary nailing: a clinical imaging study of proximity to common peroneal nerve

European Journal of Orthopaedic Surgery & Traumatology - Intramedullary nailing (IMN) is the treatment of choice in the surgical management of most tibia shaft fractures. The aim of the study...     

Prediction of hospital mortality from admission laboratory data and patient age: A simple model

Objective: To devise a simple clinical scoring system, using age of patients and laboratory data available on admission, to predict in‐hospital mortality of unselected medical and surgical patients. Methods: All patients admitted as emergencies to a large teaching hospital in Liverpool in the 5 months July–November 2004 were reviewed retrospectively, identifying all who died in hospital and controls who survived. Laboratory data available on admission were extracted to form a derivation dataset. Factors that predicted mortality were determined using logistic regression analysis and then used to construct models tested using receiver operating characteristic curves. Models were simplified to include only seven data items, with minimal loss of predictive efficiency. The simplified model was tested in a second validation dataset of all patients admitted to the same hospital in October and November 2004. Results: The derivation dataset included 550 patients who died and 1100 controls. After logistic regression comparisons, 22 dummy variables were given weightings in discriminant analysis and used to create a receiver operating characteristic curve with area under the curve (AUC) of 0.884. The model was simplified to include the seven most discriminant variables, which can each be assigned scores of 2, 3 or 4 to form an index predicting outcome; a validation dataset contained 4828 patients (overall mortality 4.7%), showed this simplified scoring system accurately predicted mortality with AUC 0.848, compared with an AUC of 0.861 in a model containing all 23 original variables. Conclusion: A simple scoring system accurately predicts in‐hospital mortality of unselected hospital patients, using age of patient and a small number of laboratory parameters available very soon after admission.     

Genomic and nongenomic effects of intrahippocampal microinjection of testosterone on long-term memory in male adult rats

In addition to their well-known genomic effects via intracellular receptors, androgens rapidly alter neuronal excitability through a nongenomic pathway. The nongenomic effect of testosterone, as the main androgen, apart from its traditional effects, was assessed in one of the fundamental centers of learning and memory, the hippocampus, on long-term memory (LTM) in passive avoidance conditioning. Different doses of testosterone enanthate (T) or testosterone-BSA (T-BSA) bilaterally were injected into the CA1 region of the hippocampus 15 min before shock delivery (1 mA during 5 s) in a two-compartment passive avoidance apparatus. After 24 h, animals were tested for passive avoidance retrieval. Bilateral injection of 20 microg T or 55 microg T-BSA into the CA1 significantly decreases step-through latency. Therefore, it seems that testosterone can impair LTM in passive avoidance conditioning both via intracellular receptors and through nongenomic pathway.     

Chronic subdural hematoma outcome prediction using logistic regression and an artificial neural network

Artificial neural networks (ANN) have not been used in chronic subdural hematoma (CSDH) outcome prediction following surgery. We used two methods, namely logistic regression and ANN, to predict using eight variables CSDH outcome as assessed by the Glasgow outcome score (GOS) at discharge. We had 300 patients (213 men and 87 women) and potential predictors were age, sex, midline shift, intracranial air, hematoma density, hematoma thickness, brain atrophy, and Glasgow coma score (GCS). The dataset was randomly divided to three subsets: (1) training set (150 cases), (2) validation set (75 cases), and (3) test set (75 cases). The training and validation sets were combined for regression analysis. Patients aged 56.5 ± 18.1 years and 228 (76.0%) of them had a favorable outcome. The prevalence of brain atrophy, intracranial air, midline shift, low GCS, thick hematoma, and hyperdense hematoma was 142 (47.3%), 156 (52.0%), 177 (59.0%), 82 (27.3%), 135 (45.0%), and 52 (17.3%), respectively. The regression model did not show an acceptable performance on the test set (area under the curve (AUC) = 0.594; 95% CI, 0.435–0.754; p = 0.250). It had a sensitivity of 69% and a specificity of 46%, and correctly classified 50.7% of cases. A four-layer 8–3–4–1 feedforward backpropagation ANN was then developed and trained. The ANN showed a remarkably superior performance compared to the regression model (AUC = 0.767; 95% CI, 0.652–0.882; p = 0.001). It had a sensitivity of 88% and a specificity of 68%, and correctly classified 218 (72.7%) cases. Considering that GOS strongly correlates with the risk of recurrence, the ANN model can also be used to predict the recurrence of CSDH.     

Prenatal Exposure to Phthalic Acid Induces Increased Blood Pressure,Oxidative Stress,and Markers of Endothelial Dysfunction in Rat Offspring

Previous studies have reported the harmful effects of exposure to phthalic acid (PA) on heart. No studies have reported the effects of prenatal PA exposure on the structure or function of heart. The current study aimed to investigate the effects of prenatal PA exposure on the markers of oxidative stress and cardiac structure in rats’ offspring. Twenty-four pregnant rats were randomly categorized into three groups of control, exposed to 2.5 and 5 % PA. The morphometric properties of coronary arteries, markers of oxidative stress, and NOS activity were measured in offspring rats. By a dose-dependent manner, the body weight (BW), heart weight (HW), and HW/BW of the intervention groups were reduced and their heart rate and blood pressure were conversely increased compared to the control group. Also, the wall thickness, cross-sectional area of the aorta and septal branch of the descending left coronary artery were significantly increased in the intervention group. In addition, PA significantly increased the level of malondialdehyde and decreased the level of superoxide dismutase and glutathione peroxidase, compared to the control group. This study revealed that prenatal exposure of rats to PA causes vascular dysfunction, increasing oxidative stress, and reduction in cardiac nitric oxide synthetase activity among offspring rats.