SUMMARY Antibiotic therapy is indicated during acute cholecystitis. However, in the treatment of uncomplicated cholelithiasis, prophylactic use of antibiotics is controversial. Microbiological and laboratory data are the basis for the choice of antibiotic treatment. However, monitoring and updating local antibiograms is important because they ensure effective therapy in the given clinical environment. The study included 110 consecutive patients who underwent laparoscopic cholecystectomy, divided into the group of uncomplicated cholelithiasis (n=60) and the group of acute cholecystitis (n=50). Preoperative data included age, sex, body mass index, leukocytes, C-reactive protein, and ultrasound examination. Bile samples for bacteriological testing were obtained under aseptic conditions during the surgery. Cultures were evaluated for aerobic, anaerobic and fungal organisms using routine tests. After the surgery, gallbladder specimens were sent for histopathological examination. In the group of uncomplicated cholelithiasis, 6/60 positive samples were found, and in the group of acute cholecystitis, there were 25/50 positive microbiological findings. Citrobacter sp. and Enterococcus faecalis predominated in the group of uncomplicated cholelithiasis, and Escherichia coli, Enterococcus faecalis, Proteus mirabilis and Citrobacter sp. in the group of acute cholecystitis. Antibiotics were administered to 49/50 patients with acute cholecystitis and to 32/60 patients with uncomplicated cholelithiasis. Cefazolin was the most frequently used antibiotic and also the most resistant antibiotic. To conclude, the administration of antibiotics in elective patients is not justified. The results of this study indicate that third-generation cephalosporin or ciprofloxacin + metronidazole should be administered in mild and moderate acute cholecystitis, and fourth-generation cephalosporin + metronidazole in severe acute cholecystitis in this local setting. The appropriate use of antibiotic agents is crucial and should be integrated into good clinical practice and standards of care.

Obstetric shock (OS) has been defined as a life-threatening cardiovascular collapse syndrome associated with pregnancy, childbirth and puerperium (obstetrics causes), and is the most significant cause of high maternal mortality (MM) throughout human history. Shock in obstetrics (SIO) refers to indirect causes of non-obstetrics causes in pregnancy, childbirth and puerperium (polytrauma, aesthetic incidents, cardiovascular or cerebrovascular incidents, other septic syndromes). The goals of OS treatment are: to quickly detect the location or cause of bleeding / injury / inflammation, prevent the progression of shock, prevent massive transfusions, preserve the uterus (and adnexa), and preserve fertility if possible. Surgical treatment of septic shock includes exploratory laparotomy (laparoscopy), ectomy or resection of the necrotized organ, abdominal lavage with multiple drainages, continuous peritoneal drainage with lavation, extensive triple antibiosis per admission or per antibiogram and thromboprophylaxis. OS seems to remain a permanent miasma in practical clinical obstetrics, which we will not be able to influence, because we have obviously caused today's increase in MM from haemorrhagic OS by iatrogenic increase in the number of caesarean sections, especially elective ones.

Aim To investigate bystanders' CPR involvement in out-of-hospital cardiac arrest (OHCA) events, their current knowledge regarding OHCA and BLS measures, their willingness to learn BLS measures with the usage of AEDs, as well as current practices. Methods This cross-sectional study included: data regarding all OHCA events treated at the Emergency Medical Service of Canton Sarajevo between January 2015 and December 2019, and an online anonymous questionnaire that examined knowledge, attitudes and practices regarding basic life support (BLS) and automated external defibrillators (AEDs). Results A total of 328 (24.0 %) of 1362 OHCA events achieved the return of spontaneous circulation (ROSC). OHCA incidence was 62/100.000 inhabitants per year. Male gender (p=0.043) and younger age (p<0.001) were significantly associated with obtaining ROSC. Only 44 (3.2%) OHCA events were assisted by bystanders, who were mostly medical professionals 38 (86.4%), followed by close family members 6 (13.6%). There was no report of AED usage. BLS and AED knowledge test score was in the range 12.0-89.8% with generally poor knowledge. Our residents agreed that BLS measurements are essential, 1604 (86.7 %) and that BLS should be a part of their curriculum, 1678 (90.7 %). Conclusion The prevalence of OHCA events in Bosnia and Herzegovina is similar to the region; ROSC among OHCA events was lower than European average, but among highest in the region. There was an extremely low rate of bystander engagement and no AEDs usage. Governmental institutions and health agencies should intervene to increase population knowledge thus increasing OHCA survival rate.

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.

Background: Two-dimensional echocardiography (2DE) Simpson methods is the most frequently used imaging modality to assess Left ventricular ejection fraction (LVEF). LVEF is an important predictor of morbidity and mortality in a wide range of patients and clinical scenarios. Despite its importance in prognosis and clinical decision making, most echocardiography laboratories currently determine EF primarily by visual estimation, which is highly experience-dependent and sensitive to intra- and inter-observer variability and suboptimal accuracy and repeatability. Over the last decade, 3-dimensional echocardiography (3DE) has become increasingly implemented in clinical practice. The automated 3D HeartModelA.I. tracks every frame over the cardiac cycle using 3D speckle technology. HeartModelA.I. is a fully automated program that simultaneously detects LA and LV endocardial surfaces using an adaptive analytics algorithm that consists of knowledge-based identification of initial global shape and orientation followed by patient-specific adaptation. Objective: The objective of the study was to compare the automated 3D HeartModelA.I echocardiography and 2D Simpson methods echocardiography in evaluation of the left ventricular ejection fraction and left ventricular volumes in patients with left heart dysfunction. Methods: The study prospectively enrolled 165 patients with symptoms of LV dysfunction (ischemic or nonischemic) and New York Heart Association (NYHA) functional class I-III, referred for an echocardiographic study to evaluate the LV volumes and LV ejection fraction (LVEF) during the period from March 2020 to March 2022. Echocardiographic images were acquired by experienced echocardiographers using a commercially available Philips EPIQ machine (Koninklijke Philips Ultrasound, USA) equipped with X5-1 Matrix probe for 2DE and DHM 3DE acquisitions, respectively. Results: 2D Simpson methods echocardiography results for estimated LVEF were 38.43 ± 1.70 in patients with NYHA class I-II, 30.53 ± 1.60 in patients with NYHA class III. Using 3D Heart Model, LVEF were 38.23 ± 1.71 in patients with NYHA class I-II and 30.27 ± 1.50 in patients with NYHA class III. The results of 2D Simpson methods echocardiography for estimated LVEDVi in NYHA class I-II and NYHA class III were 99.06 ± 6.36 ml/m2, 121.96 ± 2.93 ml/m2 respectively, LVESVi were 60.91 ± 3.91 ml/m2, 84.74 ± 2.70 ml/m2 respectively, for 3D Heart Model, LVEDVi in NYHA class I-II and NYHA class III were 100.07 ± 6.72, 121.38 ± 3.01 ml/m2 respectively, LVESVi were 61.75 ± 3.94 ml/m2, 84.73 ± 2.33 ml/m2 respectively. 2DE measurement of LV volumes and EF was completed in 6.1 ± 0.8 min. per patient. 3DE HeartModelA.I acquisition and analysis in most patients was completed in <3.2 min., an average time of 2.9 ± 1.3 min. per patient. The result of our study shows that the 3D HeartModelA.I. is a reliable and robust method for LVEF and LV volume analysis, which has similar results to 2D echocardiography performed by experienced sonographers. In this study, we found that 3DE DHM fully automated tool is also significantly faster than 2DE analysis and thus can help overcome the time-consuming nature and its present a strong argument for its incorporation into the clinical workflow. In this study, we found that 3DE DHM fully automated tool is also significantly faster than 2DE analysis and thus can help overcome the time-consuming nature and its present a strong argument for its incorporation into the clinical workflow. Conclusion: 3D DHM provides fast and accurate LV volumes and LVEF quantitation, as it avoids geometric assumptions and left ventricular foreshortening, has better reproducibility and has incremental value to predict adverse outcomes in comparison with conventional 2DE. In the future major benefit of AI in echocardiography is expected from improvements in automated analysis and interpretation to reduce workload and improve clinical outcome.

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).

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).

Since the outbreak of the COVID-19 pandemic, it has been obvious that virus infection poses a serious threat to human health on a global scale. Certain plants, particularly those rich in polyphenols, have been found to be effective antiviral agents. The effectiveness of Alchemilla viridiflora Rothm. (Rosaceae) methanol extract to prevent contact between virus spike (S)-glycoprotein and angiotensin-converting enzyme 2 (ACE2) and neuropilin-1 (NRP1) receptors was investigated. In vitro results revealed that the tested samples inhibited 50% of virus-receptor binding interactions in doses of 0.18 and 0.22 mg/mL for NRP1 and ACE2, respectively. Molecular docking studies revealed that the compounds from A. viridiflora ellagitannins class had a higher affinity for binding with S-glycoprotein whilst flavonoid compounds more significantly interacted with the NRP1 receptor. Quercetin 3-(6″-ferulylglucoside) and pentagalloylglucose were two compounds with the highest exhibited interfering potential for selected target receptors, with binding energies of −8.035 (S-glycoprotein) and −7.685 kcal/mol (NRP1), respectively. Furthermore, computational studies on other SARS-CoV-2 strains resulting from mutations in the original wild strain (V483A, N501Y-K417N-E484K, N501Y, N439K, L452R-T478K, K417N, G476S, F456L, E484K) revealed that virus internalization activity was maintained, but with different single compound contributions.

Aim To determine a prognostic value of cerebral blood flow parameters for the development of neurological sequelae in term neonates with hypoxic ischaemic encephalopathy (HIE). Methods We reviewed medical records of 47 term neonates with HIE who survived until the age of 12 months of life. According to the Sarnat and Sarnat clinical score, neonates were divided into 3 groups: mild HIE, moderate HIE and severe HIE. All included neonates had the colour Doppler brain sonography performed in the first 24 hours of life. The neurological assessment was done at the age of 12 months of life by using the Denver Developmental Screening Test (DDST). Logic regression analysis was performed using the colour doppler brain sonography parameters with the development of neurological impairment as the primary outcome. Results Out of 47 neonates, 19 (40.4%) were with mild, 17 (36.2%) with moderate and 11 (23.4%) with severe HIE. The values of cerebral blood flow parameters and resistance index (RI) significantly correlated with the neurological impairment at the age of 12 months of life (p<0.001). The limit value of RI indicating the poor neurodevelopmental outcome was 0.81, sensitivity 80%, specificity 85.3%, positive predictive value 52.2% and negative predictive value 95.2%. Conclusion The cerebral blood flow parameters measured with colour doppler brain sonography are good indicators of the severity of HIE and later neurodevelopmetal outcome.

For more than two years, coronavirus disease 19 (COVID-19) has represented a threat to global health and lifestyles. Computed tomography (CT) imaging provides useful information in patients with COVID-19 pneumonia. However, this diagnostic modality is based on exposure to ionizing radiation, which is associated with an increased risk of radiation-induced cancer. In this study, we evaluated the common dose descriptors, CTDIvol and DLP, for 1180 adult patients. This data was used to estimate the effective dose, and risk of exposure-induced death (REID). Awareness of the extensive use of CT as a diagnostic tool in the management of COVID-19 during the pandemic is vital for the evaluation of radiation exposure parameters, dose reduction methods development and radiation protection.

Slaughterhouse wastewater (SWW) contains a significant volume of highly polluted organic wastes. These include blood, fat, soluble proteins, colloidal particles, suspended materials, meat particles, and intestinal undigested food that consists of higher concentrations of organics such as biochemical oxygen demand (BOD), chemical oxygen demand (COD), nitrogen and phosphorus hence an efficient treatment is required before discharging into the water bodies. The effluent concentrations and performance of simultaneous sequential batch biofilm reactor (SBBR) with recycled plastic carrier media support are better than the local single-stage sequential batch reactor (SBR), which is lacking in the literature in terms of COD, NH3, NO3, and PO4 treatment efficiency. In the present study, we report a novel strategy to remove the above-mentioned contaminants using an intermittently aerated SBBR with recycled plastic carrier media support along with simultaneous nitrification and denitrification. The central composite design was evaluated to optimize the treatment performance of seven different process variables including; different alternating conditions (Oxic/anoxic) for aeration cycles (3/2 h in a 6 h cycle, 6/5 h in a 12 h cycle, and 9/8 h in an 18 h cycle) and hydraulic retention time (6, 12 and 18 h). The average removal efficiencies are 94.5% for NH3, 93% for NO3 and 90.1% for PO4, and 99% for COD. The study reveals that the denitrification in the post-anoxic phase was more efficient than the pre-anoxic phase for pollutant removal and maintaining higher quality effluent. The effluent concentrations and performance of simultaneous SBBR with recycled polyethylene carrier support media were better than local SBR system in terms of COD, NH3, NO3 and PO4 treatment efficiency. Results stipulated the suitability of SBBR for wastewater treatment and reusability as a sustainable approach for wastewater management under optimum conditions.