Objective. To identify the type of the non-invasive ventilatory treatment for patients diagnosed with chronic obstructive pulmonary disease (COPD), with respiratory status deteriorated by COVID-19 pneumonia, and in need of treatment in the Intensive Care Unit (ICU). Materials and Methods. This cross-sectional study was conducted over a one-year period in the medical intensive care units of two hospitals. As the patients’ clinical condition deteriorated and the parameters of the arterial blood gas (ABG) analysis worsened, oxygen support was applied via a high flow nasal cannula (HFNC) or by non-invasive positive pressure ventilation (NPPV). According to the control values of the arterial oxygen saturation (SaO2) and the parameters of ABG, the patients were enabled to be transferred between the two types of non-invasive ventilatory support. The primary outcome was the length of hospital stay, while secondary outcomes were the rate of intubation, the mortality rate, and respiratory support-free days. Results. Out of 21 critical patients with COPD and COVID-19, 11 (52.4%) were initially treated with NPPV and 10 (47.6%) with HFNC. The ages (67±9.79 in NPPV group vs. 70.10±10.25 in HFNC group) and severity of illness (SOFA score 5 (3.5) in NPPV group vs. 5 (2.8) in HFNC group) were similar between the two groups. Switching the mode of respiratory support was more common in NPPV (58.3% in survivor group vs. 41.7% in non-survivor group). Patients treated with NPPV compared to HFNC had a nominally longer length of stay (15 (11) vs. 11.5 (4.25)), and higher risk of intubation (66.7% vs. 33.3%) and mortality (66.7% vs. 33.3%), but the comparisons did not reach statistical significance. Survivors had significantly longer Medical Intensive Care Unit and hospital stays, but significantly lower FiO2 (0.60 vs.1) and higher values of PaO2/FiO2 (78(32.4) vs. 56.3(17.8)) than non-survivors. All patients were treated with corticosteroids, and the duration of treatment was similar between groups. Conclusion. In critically ill patients with COPD and COVID-19, both HFNC and NPPV were commonly used as the initial mode of ventilation. Switching to a different mode and adverse patient outcomes were more frequent in patients initially treated with NPPV. Survivors had higher values of PaO2/FiO2 than non-survivors.

Aim To evaluate the efficacy (rate of recanalization) of therapy with novel oral anticoagulants (NOAC; rivaroxaban, apixaban) compared to conventional treatment (low molecular weight heparin - LMWH and vitamin K antagonist) in the treatment of deep vein thrombosis (DVT) of the proximal segments of lower extremities. Methods The first group consisted of patients diagnosed with DVT and treated with NOAC (n = 100), while the second group consisted of patients diagnosed with DVT, who were treated by conventional treatment (low molecular weight heparin and vitamin K antagonists) (n = 100). In the first group, NOAC was included in the initial treatment. Patients in the second group were treated with LMWH for four days, and on the fifth day vitamin K antagonist was included in therapy, international ratio (INR) was titrated to therapeutic values (2.0-3.0), and then low molecular weight heparin was excluded from the therapy. Results There was a statistically significant difference in the estimated values of free lumen of the blood vessel between the examined groups after 30 days (p=0.0001), after 90 days (p=0.0001) and after 180 days (p=0.0001). After 180 days, the average free lumen values in the NOAC group were 85% (81-89%), which was significantly higher than the free lumen values in the second group, 73% (69-79%). Conclusion The use of NOAC represents more efficient treatment of DVT comparing to vitamin K antagonists.

Aim To determine the value of IFN (intzerferon)-α in the patients with systemic lupus erythematosus (SLE) and to correlate IFN-α with values of non-specific biochemical parameters of inflammation (C-reactive protein, leukocytes values, erythrocyte sedimentation rate, albumins and globulins). Methods Research included 55 patients with SLE diagnosis and a control group consisted of 25 healthy subjects (during period 2019-2020). IFN (Interferon)-α and non-specific biochemical parameters of inflammation were obtained using standard protocols. Results IFN-α values were independent of gender (p=0.95). The difference in serum IFN-α values in relation with the age in the SLE group was statistically significant (p=0.036). Only serum globulin was significantly higher (p=0.0023) in IFN-α positive compared to IFN-α negative SLE patients. A statistically significant correlation between the values of IFN-α and globulin was proved (r=0.315; p=0.019). No significant correlation was found between other non-specific biochemical parameters and IFN-α values. Conclusion Increased IFN-α values were observed in younger patients, and the correlation between IFN and globulin was proved.

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.

Background: During the process of the treatment of COVID-19 hospitalized patients, physicians still face a lot of unknowns and problems. Despite the application of the treatment protocol, it is still unknown why the medical status of a certain number of patients worsens and ends with death. Many factors were analyzed for the prediction of the clinical outcome of the patients using different methods. The aim of this paper was to develop a prediction model based on initial laboratory blood test results, accompanying comorbidities, and demographics to help physicians to better understand the medical state of patients with respect to possible clinical outcomes using neural networks, hypothesis testing, and confidence intervals. Methods: The research had retrospective-prospective, descriptive, and analytical character. As inputs for this research, 12 components of laboratory blood test results, six accompanying comorbidities, and demographics (age and gender) data were collected from hospital information system in Sarajevo for each patient from a sample of 634 hospitalized patients. Clinical outcome of the hospitalized patients, survival or death, was recorded 30 days after admission to the hospital. The prediction model was designed using a neural network. In addition, formal hypothesis tests were performed to investigate whether there were significant differences in laboratory blood test results and age between patients who died and those who survived, including the construction of 95% confidence intervals. Results: In this paper, 11 neural networks were developed with different threshold values to determine the optimal neural network with the highest prediction performance. The performances of the neural networks were evaluated by accuracy, precision, sensitivity, and specificity. Optimal neural network model evaluation metrics are: accuracy = 87.78%, precision = 96.37%, sensitivity = 90.07%, and specificity = 62.16%. Significantly higher values (P < 0.05) of blood laboratory result components and age were detected in patients who died. Conclusion: Optimal neural network model, results of hypothesis tests, and confidence intervals could help to predict, analyze, and better understand the medical state of COVID-19 hospitalized patients and thus reduce the mortality rate.

Aim The aim of this study was to link the values of D-dimer and C-reactive protein (CRP), with the occurrence of pericardial effusion in patients who had coronavirus disease 2019 (COVID-19) and have preserved systolic function of the left ventricle (LV). Methods This was a prospective study and included 146 patients who underwent echocardiographic examination 30 days after the acute phase of COVID-19. Patients who were placed on mechanical ventilation, patients who had pulmonary thromboembolism or acute coronary syndrome during the acute period of the disease, patients who had an ejection fraction of the LV <50%, patients who were diagnosed with pericarditis during acute illness or clinical signs of heart failure (or had elevated N-terminal-pro hormone B-type natriuretic peptide value), with verified renal or hepatic dysfunction were excluded from the study, including patients with diabetes mellitus Type 1, patients with cancer, connective tissue disease, or pregnant women. The existence of cardiovascular risk factors (hypertension, diabetes mellitus Type 2, and hyperlipidemia), the presence of previous ischemic heart disease, maximum values of D-dimer, and CRP (during the first 15 days of the disease) was taken into the analysis. Results Effusion was verified around the right atrium (RA) in 104 patients (3.85 ± 1.75 mm), in 135 patients next to the free wall of the right ventricle (RV) (5.24 ± 2.29 mm), in front of the apex of the LV in 27 patients (2.44 ± 0.97 mm), next to the lateral wall of LV in 35 patients (4.43 ± 3.21 mm), and behind the posterior wall of LV in 30 patients (2.83 ± 1.62 mm). Mean CRP values during the acute phase of the disease were 43.0 mg/L (8.6–76.2 mg/L), whereas D-dimer mean value was 880.00 μg/L (467.00 –2000.00 μg/L). CRP values correlated with effusion next to the free wall of RV (rho = 0.202; P = 0.018). The D dimer correlated with effusion around RA (rho = 0.308; P = 0.0001). Conclusion The clinical picture of the post-COVID patients could be explained by the appearance of pericardial effusion. D-dimer value correlates with the occurrence of effusion around RA, whereas CRP value correlates with effusion next to the free wall of RV.