Background: Deep Acute pancreatitis (AP) is an urging cause of hospitalization in the gastroenterology due to different causes and an unpredictable outcome. Known causes are grouped into four main groups: metabolic, mechanical, vascular and infectious. Objective: To determine the role of certain biochemical or radiological parameters as predictors of an involvement of other organs in AP different pathological staging and the surgical outcome in the treatment of AP. Methods: Ninety-seven AP patients hospitalized in General Hospital “Prim.dr Abdulah Nakaš” Sarajevo, in a period between 2016 and 2021 for both sexes, were divided according to the etiological factors of AP into four groups: nutritional factors, biliary concernments, alcohol and morphological changes of the pancreas. Beside laboratory tests, the imaging methods of abdomen (transabdominal ultrasound, abdominal computed tomography) used in determining morphological changes in the pancreas and other organs were analyzed in relation to parameters that predict the need for surgical outcomes. Results: AP etiological factors of patients differ significantly by gender and showed the dominance of dietary factors in female subjects (51%), followed by the presence of concernments in the biliary tract in 36% of cases, and alcohol consumption in male subjects in 28% of cases. The only variable correlated with the indicator of necessity for surgery is the existence of pleural effusion (coefficient of correlation was 0.38; risk ratio was 5.5) resulting that patients with pleural effusion have a 5.5 times higher chance of surgery indication than other patients. Conclusion: The application of simple parameters such as creatinine value with the values of amylases in serum and urine and the presence of pleural effusion confirmed by radiological imaging of the lungs opens the possibility of a simple and effective selection of patients for surgical treatment with a more severe form of AP.

The aims of this study were to analyze the utilization of antibiotics before (2018, 2019) and during the COVID-19 pandemic (2020) and the practice of prescribing antibiotics in outpatient settings for COVID-19 patients during the 2020–2022 period. The Anatomical Therapeutic Chemical Classification/Defined Daily Dose methodology was used for the analysis of outpatient antibiotic utilization in the Republic of Srpska. The data was expressed in DDD/1000 inhabitants/day. The rate of antibiotics prescribed to COVID-19 outpatients was analyzed using medical record data from 16,565 patients registered with B34.2, U07.1, and U07.2 World Health Organization International Classification of Diseases 10th revision codes. During 2020, outpatient antibiotic utilization increased by 53.80% compared to 2019. At least one antibiotic was prescribed for 91.04%, 83.05%, and 73.52% of COVID-19 outpatients during 2020, 2021, and the first half of 2022, respectively. On a monthly basis, at least one antibiotic was prescribed for more than 55% of COVID-19 outpatients. The three most commonly prescribed antibiotics were azithromycin, amoxicillin/clavulanic acid, and doxycycline. The trend of repurposing antibiotics for COVID-19 and other diseases treatment might be a double-edged sword. The long-term effect of this practice might be an increase in antimicrobial resistance and a loss of antibiotic effectiveness.

Aim To determine an outcome of acute kidney injury (AKI) in critically ill children (CIC) who needed renal replacement therapy (RRT) and were admitted to the Paediatric and Neonatal Intensive Care Unit (PICU and NICU) at the Paediatric Clinic, University Clinical Centre Sarajevo (UCCS). Methods The research included 81 children with AKI. The Kidney Disease: Improving Global Outcomes (KDIGO) criteria to define AKI was used. Other laboratory findings and imaging tests were made depending on children's primary disease that led to the AKI. Results Among 81 children with AKI, 38 were girls and 43 boys. A total of 39 (48.1%) patients died; the death was due to the nature of the primary disease and multiple organ failure syndromes. Out of the total of 81 patients the highest mortality rate was found in children in the first year of life, 22 (56.4%), while 17 (43.6%) patients died after the first year of life. Conclusion Without an accurate diagnosis at the right time, due to the lack of adequate biomarkers for AKI screening, the heterogeneity of AKI, comorbidities often lead to unfavourable outcomes of the disease, among CIC, especially in infants with low birth weight and extreme immaturity. Some causes of AKI are preventable and can be reduced by a better organization of primary and secondary health care.

Percolation model with nucleation and object growth is studied by Monte Carlo simulations on a triangular lattice with point-like impurities. Growing objects are needle-like objects and self-avoiding random walk chains. In each run through the system the lattice is initially randomly occupied by point-like impurities at given concentration ρimp . Then the seeds for the object growth are randomly distributed at given concentration ρ. The percolation properties and the jamming densities are compared for the two classes of growing objects on the basis of the results obtained for a wide range of densities ρ and ρimp up to the percolation threshold for the monomer deposition on a triangular lattice. Values of the percolation thresholds θp∗ have lower values for the needle-like objects than for the self-avoiding random walk chains. The difference is largest for the lowest values of ρ and ρimp , and ceases near the values of the site percolation threshold for monomers on the triangular lattice, ρp∗≃0.5 . Values of the jamming coverage θJ decrease with ρimp for given ρ. This effect is more prominent for the growing random walk chains.

Aim To determine differences between reviparin and dalteparin treatment in patients with extracapsular hip fractures treated with intramedullary nailing and their effects on perioperative blood loss and early postoperative recovery. Methods Retrospective comparative study included 68 patients with extracapsular hip fracture who were divided into dalteparin and reviparin group. Medical records were used to obtain demographic data, laboratory parameters, haemoglobin and haematocrit levels, platelet count, mortality rate and medical complications. Results Out of total 68 patients, 31 were in reviparin and 37 in dalteparin group. Mean age of patients was 70.5 (±14.4) and 76.8 (±8.4) years in reviparin and dalteparin group, respectively (p=0.071). Median values of haemoglobin levels on the first postoperative day were lower in dalteparin group compared to reviparin group (p=0.012). On the first postoperative day haematocrit values were also lower in dalteparin than in reviparin group (p=0.015). Both groups showed an increase in platelet count on the first postoperative day, but without significant difference (p=0.084). There was no statistically significant difference in intrahospital mortality between the groups (6.4% vs. 2.7%; p=0.588). One case of pulmonary embolism was detected in the dalteparin group. Conclusion Low-molecular-weight heparin is the drug of choice in patients with hip fractures for thromboprophylaxis. Due to non-antithrombin-mediated actions, reviparin and dalteparin could have different effects on perioperative blood loss. Both dalteparin and reviparin are safe and effective agents for thromboprophylaxis in patients with proximal femur fractures.

Production enterprises are enterprises that produce goods or services that aim to meet human needs such as machinery-equipment materials and labour. In order for a manufacturing enterprise to carry out its activities successfully, it must make the right choice when choosing its inputs. The correct execution of production activities and the selection of machinery, which requires high capital investments, also affect the efficiency of the enterprises, the correct use of materials and their costs. Therefore, it is an important decision for business managers to choose the right machine. At this stage, multi-criteria decision making (MCDM) methods are used for choosing the right machine. MCDM methods are methods used in the evaluation of alternatives using more than one criterion. In addition, the MCDM method is used in machine selection as well as in many areas. In this study, PSI, SV and MARCOS methods, which are among the MCDM methods, were used for peanut butter machine selection. First, the criteria and alternatives to be used for the peanut butter machine selection were determined by interviewing a peanut butter factory manager. In the study, while the criteria weights were determined, PSI and SV methods were used, while the machines were ranked with the MARCOS method. In addition, the MARCOS method was compared with other MCDM methods such as PIV, CODAS and WEDBA methods. After the rankings were found according to the methods, the relations between the rankings were examined using the Spearman Correlation method. The main purpose of the study is to determine the suitable butter machine for a peanut paste production factory. Contribution of this study to the literature PSI, SV and MARCOS methods were used together for the first time. In addition, no study has been found in the literature related to peanut butter machine. Therefore, this study is original and contributes to the literature.