To investigate the association of different phenotypes, count, and locations of chronic covert brain infarctions (CBI) with long‐term mortality in patients with first‐ever manifest acute ischemic stroke (AIS) or transient ischemic attack (TIA). Additionally, to analyze their potential interaction with white matter hyperintensities (WMH) and predictive value in addition to established mortality scores.

Aim To investigate analgesic and side effects of different doses of fentanyl in combination with propofol for colonoscopy. Methods This prospective randomized double-blind study conducted between 2019 and 2020 included 64 patients. Patients were randomized: Group 1 (fentanyl 0.5 μg/kg) and Group 2 (fentanyl 1.0 μg/kg) both in combination with propofol. Ramsay sedation score (RSS) was obtained at 5 with an additional dose of propofol. The primary outcome was the patient's postprocedural pain and adverse events during and after the procedure. Results The RSS means were statistically lower for Group 2 at the beginning and every 5 minutes of the procedure. Mean arterial pressure (MAP) for Group 2 (first, 5, 25 and 30 min) was significantly lower (p=0.000, and heart rate (HR) was significantly higher for Group 1 (during the entire procedure) (p=0.000) than in another group; peripheral oxygen saturation (SpO2 ) was significantly lower for measurements within both groups (Group 1, 5, 10, 15 min; Group 2, 5, 10,15 min) (p=0.000 and p=0.000, respectively). Anxiety (p=0.010), weakness (p=0.000) and confusion (p=0.023) proved to be significantly higher for Group 1, and hypotension (p=0.001) for Group 2 than in another group. No statistical significance of Visual Analogue Pain Scale (VAS) (p=0.501) and Aldrete recovery score (ARS) (p=0.845) was found. Conclusion There was no significance in postprocedural abdominal pain between the group of patients administered fentanyl at a dose of 0.5 μg/kg and the group of patients administered fentanyl at a dose of 1.0 μg/kg; however, prevalence of complications was more significant in the group with a fentanyl at a dose of 0.5 μg/kg.

Objective The imbalance of antioxidants and pro-oxidants plays a crucial role in the carcinogenesis of bladder cancer (BC). This study aimed to evaluate serum antioxidant status in patients with BC and determine its potential use in the diagnosis and progression potential considerations following histopathological assessment. Methods A cross-sectional study included 90 patients with BC, divided into Ta, T1, and T2–T4 stage subgroups, and according to cancer progression potential, into low-grade (LG) and high-grade (HG) subgroups. The control group (CG) included 30 healthy volunteers. Antioxidant status was determined using the spectrophotometric method and standard laboratory tests. Results Serum superoxide dismutase activity was significantly higher in BC patients regarding cancer stage in comparison to the CG (p<0.001). Catalase activity was highest in T2–T4 subgroup and was significantly higher compared to the Ta (p<0.01) and T1 (p<0.05) subgroups. Serum albumin level was significantly lower in the BC group compared to the CG (p<0.001). In addition, it was significantly lower in T2–T4 subgroup compared to T1 and Ta subgroups (p<0.01). A significant negative correlation was found between tumor size and serum albumin level only (r=−0.386, p<0.01). Catalase activity was higher in HG subgroup (p=0.009), while bilirubin level was higher in LG subgroup (p=0.035). The optimal cut-off value of catalase activity in differentiating patients with LG and HG BC subgroups was ≥11.96 IU/L, and the specificity and sensitivity were 51.1% and 82.2%, respectively. Bilirubin level, for a calculated optimal cut-off value of ≥11.95 μmol/L, had a specificity of 44.1% and sensitivity of 80.0%. Conclusion More invasive stages of BC with greater progression potential are associated with an increase in enzymatic antioxidant activity and a decrease in non-enzymatic antioxidant capacity. It may suggest a possible role of antioxidants in the prediction and monitoring of illness trajectory.

Aim To investigate infl uence of neutrophil-to-lymphocyte ratio (NLR) and proatherogenic risk factors to improve the accuracy of pneumonia severity index (PSI) in the prediction of community acquired pneumonia (CAP) outcome in healthy individuals. Methods A retrospective observational cross-sectional study conducted at the Clinic for Pulmonary Diseases and Tuberculosis "Podhrastovi", University Clinical Centre Sarajevo, included 83 patients with the diagnosis of CAP during the period March 2019-March 2021. Once diagnosed with CAP, PSI score was calculated and according to its value the need for hospital treatment was identifi ed. Patients were divided in two groups: low risk of CAP (PSI <90), and high risk of CAP (PSI> 90). Results The overall average hospital stay was 22.76±10.154 days. In the patients diagnosed with CAP, a positive correlation was established between the following parameters PSI score and age (r=0.670; p<0.01), C-reactive protein-CRP (rho=0.287; p<0.01), leukocytes (rho=0.406; p<0.01), NLR (rho=0.313; p<0.01) and platelet to lymphocyte ratio (PLR) (0.296; p<0.05). CRP, leukocytes, NLR and PLR were statistically signifi cantly higher in patients with high risk of CAP compared to patients with low risk of CAP. Diastolic blood pressure, lymphocytes, eosinophils were signifi cantly lower in patients with high risk of CAP (p<0.05;) compared to patients with low risk of CAP (p<0.01). The optimal cut-off value of NLR for CAP patients was 3.089 with an estimated area under curve (AUC) of 0.664. Conclusion Proatherogenic parameters such as age, systolic blood pressure and leukocytes in combination with neutrophil-lymphocyte count ratio could improve accuracy of the pneumonia severity index in community acquired pneumonia outcome.

Vehicle automation and connectivity bring new opportunities for safe and sustainable mobility in urban and highway networks. Such opportunities are however not directly associated with traffic flow improvements. Research on exploitation of connected and automated vehicles (CAVs) toward a more efficient traffic currently remains at a theoretical level, and/or based on simulation models with limited reliability. Furthermore, testing CAVs in the real world is still costly and very challenging from an implementation perspective. A possible alternative is to use automated robots. By designing and testing both the low- and the high-level controllers of CAVs, it is indeed possible to reach a better understanding of the challenges that future vehicles will need to face. Robotic applications can effectively test these challenges within a wide variety of research communities—for example, via robotic competitions. Along this direction, the Joint Research Centre has organized the first European robotic traffic competition for automated miniature vehicles. Each team participated with four robots and was judged based on a set of indicators that assess the collective behaviors of the vehicles. Results show the suitability of the methodology with different teams proposing completely different approaches to deal with the challenge and thus achieving different results. Future competitions may further raise awareness about the possibility of using CAVs to improve traffic and to engage with a broader community to design systems that are really capable of achieving this goal.

Background: Conflicting data exist on traditional lipid profiles in patients with Alzheimer’s disease (AD) and vascular dementia (VD), whereas scarce number of studies evaluated non-traditional lipid profiles in patients with AD and VD. Studies have shown that ethnic background may affect lipid profile. Objective: The aim of the present study was to conduct comparative assessment of traditional and non-traditional lipid profiles in Bosnian patients with AD and VD. Methods: A controlled, cross-sectional study was performed with 66 patients with AD, 50 patients with VD, and 60 control subjects. The Montreal Cognitive Assessment (MoCA) test was used for an evaluation of the global cognitive function. The Hachinski ischemic score was used to distinguish patients with VD from those with AD. Plasma total cholesterol (TC), high-density lipoprotein -cholesterol (HDL-C), and triglycerides (TG) levels were determined using standard enzymatic colorimetric techniques, whereas the Friedewald formula was used to calculate low-density lipoprotein-cholesterol (LDL-C) levels. The non-traditional lipid indices such as TG/HDL-C, TC/HDL-C, and LDL-C/HDL-C ratio were separately calculated. The differences between the groups were analyzed with ANOVA followed by the Tuckey posthoc test or with the Kruskal Wallis test followed by the Mann-Whitney test. Results: Results of the present study have shown that patients in AD group had significantly lower level of TC, TG, LDL-C, VLDL-C, Non-HDL-C and significantly lower atherogenic index compared to the control group (CG) and compared to the VD patients. Significant difference in values of TG and VLDL-C was observed between VD and the CG, whereas no significant difference in values of TC, LDL-C, atherogenic index and Non-HDL-C was observed between these two groups. Our results have also shown that TG/HDL-C, TC/HDL-C, and LDL-C/HDL-C ratios were significantly lower in AD patients compared to the VD and CG. Moreover, TG/HDL-C ratio was significantly lower in VD compared to the CG. However, a significant difference in TC/HDL-C and LDL-C/HDL-C was not observed between VD and the CG. Conclusion: Based on the results of the present study it can be deduced that there is a difference in traditional and non-traditional lipid profiles between AD and VD patients of Bosnian descent. Obtained results suggest that lipids are decreased in AD and in VD to a certain extent. However, since there is an inconsistence in literature whether there is an association between cholesterol and cognition, large prospective studies are required to elucidate this controversy.

Segmentation of specific brain tissue from MRI volumes is of great significance for brain disease diagnosis, progression assessment, and monitoring of neurological conditions. Manual segmentation is time-consuming, laborious, and subjective, which significantly amplifies the need for automated processes. Over the last decades, the active development in the field of deep learning, especially convolutional neural networks (CNNs), and the associated performance improvements have increased the demand for the application of CNN-based methods to provide consistent measurements and quantitative analyses. In this paper, we present an efficient deep learning approach for the segmentation of brain tissue. More specifically, we address the problem of segmentation of the posterior limb of the internal capsule (PLIC) in preterm neonates. To this end, we propose a CNN-based pipeline comprised of slice-selection modules and a multi-view segmentation model, which exploits the 3D information contained in the MRI volumes to improve segmentation performance. One special feature of the proposed method is its ability to identify one desired slice out of the whole image volume, which is relevant for pediatricians in terms of prognosis. To increase computational efficiency, we apply a strategy that automatically reduces the information contained in the MRI volumes to its relevant parts. Finally, we conduct an expert rating alongside standard evaluation metrics, such as dice score, to evaluate the performance of the proposed framework. We demonstrate the benefit of the multi-view technique by comparing it with its single-view counterparts, which reveals that the proposed method strikes a good balance between exploiting the available image information and reducing the required computing power compared to 3D segmentation networks. Standard evaluation metrics as, well as expert-based assessment, confirm the good performance of the proposed framework, with the latter being more relevant in terms of clinical applicability. We demonstrate that the proposed deep learning pipeline can compete with the experts in terms of accuracy. To prove the generalisability of the proposed method, we additionally assess our deep learning pipeline to data from the Developing Human Connectome Project (dHCP).

This work aims to synthesize polygalacturonate-based magnetic iron oxide nanoparticles (INP-polyGalA). The synthesis consists of the diffusion of both Fe2+ and Fe3+ at a molar ratio of 1:2 through polyGalA solution followed by the addition of an alkaline solution. To form individual nanoparticle materials, the polyGalA concentration needs to be below its overlapping concentration (C*). The synthesized materials (INP-polyGalA) contain about 45 % of organic compound (polyGalA), and they have an average particle size ranging from 10 to 50 nm as estimated by several techniques (DLS, TEM and AFM) and their surfaces are negatively charged in pH range 2 to 7. The synthesized NPs showed magnetic characteristics, thanks to the formation of magnetite (Fe3O4) as confirmed by X-ray diffractions (XRD). Moreover, AFM combined with Infra-red mapping allowed us to conclude that polyGalA is located in the core of the nanoparticles but also on their surfaces. More specially, both carboxylate (COO-) and carboxylic (COOH) groups of polyGalA are observed on the NPs surfaces. The presence of such functional groups allowed the synthesized material to (i) bind through the electrostatic interactions methylene blue (MB) which may have a great potential for r pollution control or (ii) to form hydrogel beads (ionotropic gelation) by using calcium as a crosslinking agent which can be used to encapsulate active molecules and target their release by using an external stimulus (magnetic field).

Objectives Evidence on the current status of gender equity in academic rheumatology in Europe and potential for its improvement is limited. The EULAR convened a task force to obtain empirical evidence on the potential unmet need for support of female rheumatologists, health professionals and non-clinical scientists in academic rheumatology. Methods This cross-sectional study comprised three web-based surveys conducted in 2020 among: (1) EULAR scientific member society leaders, (2) EULAR and Emerging EULAR Network (EMEUNET) members and (3) EULAR Council members. Statistics were descriptive with significance testing for male/female responses assessed by χ2 test and t-test. Results Data from EULAR scientific member societies in 13 countries indicated that there were disproportionately fewer women in academic rheumatology than in clinical rheumatology, and they tended to be under-represented in senior academic roles. From 324 responses of EULAR and EMEUNET members (24 countries), we detected no gender differences in leadership aspirations, self-efficacy in career advancement and work–life integration as well as the share of time spent on research, but there were gender differences in working hours and the levels of perceived gender discrimination and sexual harassment. There were gender differences in the ranking of 7 of 26 factors impacting career advancement and of 8 of 24 potential interventions to aid career advancement. Conclusions There are gender differences in career advancement in academic rheumatology. The study informs a EULAR task force developing a framework of potential interventions to accelerate gender-equitable career advancement in academic rheumatology.

Objective. The aim of this study was to learn about the morphological characteristics of the supraorbital foramen and to determine its precise position in relation to the surrounding anatomical landmarks in the adult population of Bosnia and Herzegovina. Material and Methods. For this purpose, 60 skulls from the Bosnia and Herzegovina population of known sex (32 males and 28 females), taken from the osteological collection of the Department of Human Anatomy of the Medical Faculty in Sarajevo, were subjected to morphological and morphometric analysis. Morphometric measurements were performed using a digital vernier caliper (Mitutoyo Corporation, Japan). Results. The study showed that most supraorbital nerves exit the orbit through the supraorbital notch (73.8%) and the rest through the foramen (26.2%). Of this number, bilateral supraorbital notches were recorded in 58.33% of cases, a bilateral supraorbital foramen in 18.34% of cases, while in 23.33% of cases a notch was recorded on one side and a foramen on the contralateral side. Morphometric measurements performed to determine the exact position of the supraorbital foramen relative to the surrounding landmarks showed different values in males and females. An accessory foramen was also observed on the examined skulls in 16.67% of cases. Conclusion. Detailed knowledge of anatomical variations of the supraorbital foramen is required for safe and successful administration of regional anesthesia, in order to avoid iatrogenic nerve injuries during orbitofacial region surgery.