Objectives. To determine the severity of stroke and mortality in relation to the type of disturbance of consciousness and outcome of patients with disorders of consciousness. Patients and Methods. We retrospectively analyzed 201 patients. Assessment of disorders of consciousness is performed by Glasgow Coma Scale (Teasdale and Jennet, 1974) and the Diagnostic and Statistical Manual of Mental Disorders (Anonymous, 2000). The severity of stroke was determined by National Institutes of Health Stroke Scale (Lyden et al., 2011). Results. Fifty-four patients had disorders of consciousness (26.9%). Patients with disorders of consciousness on admission (P < 0.001) and discharge (P = 0.003) had a more severe stroke than patients without disturbances of consciousness. Mortality was significantly higher in patients with disorders of consciousness (P = 0.0001), and there was no difference in mortality in relation to the type of disturbance of consciousness. There is no statistically significant effect of specific predictors of survival in patients with disorders of consciousness. Conclusion. Patients with disorders of consciousness have a more severe stroke and higher mortality. There is no difference in mortality and severity of stroke between patients with quantitative and qualitative disorders of consciousness. There is no statistically significant effect of specific predictors of survival in patients with disorders of consciousness.

This work reports about the preliminary results and ongoing research based upon profiling collaborative learning groups of persons within the social micro-blogging platforms like Twitter1 that share potentially common interests on special topic. Hereby the focus is held on spontaneously initiated collaborative learning in Social Media and detection of collaborative learning groups based upon their communication dynamics. Research questions targeted to be answered are: are there any useful data mining algorithms to fulfill the task of pre-selection and clustering of users in social networks, how good do they perform, and what are the metrics that could be used for detection and evaluation in the realm of this task. Basic approach presented here uses as preamble hypothesis that users and their interests in Social Networks can be identified through content generated by them and content they consume. Special focus is held on topic oriented approach as least common bounding point. Those should be also the basic criteria used to detect and outline the learning groups. The aim of this work is to deliver first scientific pre-work for successfully implementation of recommender systems using social network metrics and content features of social network users for the purposes of better learning group communication and information consumption.

Objective: Determine diagnostic power and intercorrelation between bladder outlet obstruction number (BOON) and intravesical prostatic protrusion (IPP ) as non-invasive predictors of infravesical obstruction in patients with lower urinary tract symptoms due to benign prostatic enlargement. Material and methods: Prospective study during 2009-2010 analyzed data of 110 patients with proven benign prostatic enlargement. Prostate volume and IPP were determined by transabdominal ultrasound, and patients underwent complete urodynamic studies (UDS). BOON was calculated using the formula: prostate volume (cc)-3 x Qmax (ml/s)-0.2 x mean voided volume (ml). Results: There is a statistically significant correlation between the values of IPP and BOON (Spearman’s rank correlation coefficient rho=0.48, p=0.0001). BOON is a more sensitive (sensitivity 82.4%, specificity 66.1%), while IPP is a more specific factor (sensitivity 58.8%, specificity 81.4%) in the group-wise prediction of bladder outlet obstruction (BOO). Positive predictive value in the diagnosis of obstruction increases at the individual level combining the cut-off values for BOON>-30, with IPP >10 mm (PP V 86.8%). Owing to a good correlation of IPP with different definitions of urodynamic obstruction, IPP was included in the BOON formula instead of prostate volume. This number was arbitrarily called BOON2. The combination of IPP >10 mm and cut-off value for BOON2 >-50 showed that 88.6% of the patients were accurately classified in the zone of obstruction (mean IPP 14.9 mm), while BOON2<-50 carried a high NPV. Conclusion: The combination of cut-off values for BOON and IPP increases test accuracy according to BOO at the individual level, thus facilitating clinical decision making regarding diagnostics and optimal choice of therapy in patients with BPE. Owing to its good correlation with obstruction determinants, IPP can be included in the formula for BOON instead of prostate volume.

Budd-Chiari syndrome is a rare but life-threatening disorder characterized by obstruction of the hepatic venous outflow. Treatment depends on underlying cause, extent of the obstruction and functional capacity of the liver. When all other therapy options are unsuccessful, liver transplant should be considered. Portal vein thrombosis (PVT) is a frequent event in patients with cirrhosis which can be treated with anticoagulants, but there are limited data regarding safety and efficacy of this approach.

Introduction: Schizophrenia (Sch) is a complex neurodevelopmental disorder associated with impairment of cognitive function as a central feature, which is confirmed by a number of studies performed on patients suffering from Sch, where clinical symptoms and social functioning of patients are consequences of neurocognitive deficits. Goal: The goal of this study was to assess the clinical usability of the Montreal Cognitive Assessment (MoCA) as a screening instrument for cognitive impairment in schizophrenic patients, alone and in correlation with the Mini-Mental State Examination (MMSE). Material and methods: This clinical prospective study included 30 patients diagnosed with schizophrenia. Patients were selected from Psychiatric Clinic, Clinical Center University of Sarajevo (CCUS) during 2010. For assessment of cognitive impairment we used Montreal Cognitive Assessment Scale (MoCA) and Mini-Mental State Examination (MMSE). Results: From the total number of respondents (n=30), 15/30 (50 %) were males and 15/30 (50 %) were females; age of onset were 23.5±6.69; duration of illness before hospitalization (mean±SD) 32.5±12.9. If we make a comparison of MoCA scale and MMSE under the limit values, then we get that there was 10 true positive, 4 true negative, 14 false positive and 2 false negative. This all leads to sensitivity of MoCA scale again in comparison with the MMSE of 41.7%, specificity 66.7%, positive predictive value of 83.3% and negative predictive value of 22.2%. Conclusions: Our findings provide preliminary evidence that MoCA scale performs well in detecting true positive but it is imprecise in the detection of true negative findings.

Introduction: Supracondylar humerus fractures are the most common fractures of the humerus at the elbow in children. The key role belongs to the age and immaturity of the humerus region. Treatment, even today represents the problem of bone and joint surgery. Gartland classification divides these fractures into four types. Analysis of radiographic parameters will serve as an indicator for treatment selection. Goal: To demonstrate the role of radiographic evaluation by measurement of default radiographic parameters and indicate the choice of treatment for supracondylar fractures of type I and II by Gartland. Material and methods: The study included 60 children aged 4-14 years, divided into two groups, first with initial radiographic analysis and the second one without radiographic analysis. All were treated at the Primary Health Care Center Novi Travnik and Nova Bila Hospital from 2009 to 2011. Analysis was performed using methods of descriptive statistics to calculate the mean and standard deviation, Student’s t-test and Chi-square test. Results: In patients from first group hospitalization, immobilization duration, as well as physical treatment was shorter and more frequently surgical treatment was applied (manual reduction with K-wire fixation) with statistically significant difference (p = 0.042). Conclusion: Radiographic evaluation is one way to choose methods of fracture treatment. The incidence of complications is low, with excellent outcome of treatment and a faster return of children to their daily activities.