Background: Early prediction of COVID-19 patients’ mortality risk may be beneficial in adequate triage and risk assessment. Therefore, we aimed to single out the independent morality predictors of hospitalized COVID-19 patients among parameters available on hospital admission. Methods: An observational, retrospective–prospective cohort study was conducted on 703 consecutive COVID-19 patients hospitalized in the University Clinical Center Kragujevac between September and December 2021. Patients were followed during the hospitalization, and in-hospital mortality was observed as a primary end-point. Within 24 h of admission, patients were sampled for blood gas and laboratory analysis, including complete blood cell count, inflammation biomarkers and other biochemistry, coagulation parameters, and cardiac biomarkers. Socio-demographic and medical history data were obtained using patients’ medical records. Results: The overall prevalence of mortality was 28.4% (n = 199). After performing multiple regression analysis on 20 parameters, according to the initial univariate analysis, only four independent variables gave statistically significant contributions to the model: SaO2 < 88.5 % (aOR 3.075), IL-6 > 74.6 pg/mL (aOR 2.389), LDH > 804.5 U/L (aOR 2.069) and age > 69.5 years (aOR 1.786). The C-index of the predicted probability calculated using this multivariate logistic model was 0.740 (p < 0.001). Conclusions: Parameters available on hospital admission can be beneficial in predicting COVID-19 mortality.

Aim: We aimed to single out admission predictors of acute respiratory distress syndrome (ARDS) in hospitalized COVID-19 patients and investigate the role of bioelectrical impedance (BIA) measurements in ARDS development. Method: An observational, prospective cohort study was conducted on 407 consecutive COVID-19 patients hospitalized at the University Clinical Center Kragujevac between September 2021 and March 2022. Patients were followed during the hospitalization, and ARDS was observed as a primary endpoint. Body composition was assessed using the BMI, body fat percentage (BF%), and visceral fat (VF) via BIA. Within 24 h of admission, patients were sampled for blood gas and laboratory analysis. Results: Patients with BMI above 30 kg/m², very high BF%, and/or very high VF levels were at a significantly higher risk of developing ARDS compared to nonobese patients (OR: 4.568, 8.892, and 2.448, respectively). In addition, after performing multiple regression analysis, six admission predictors of ARDS were singled out: (1) very high BF (aOR 8.059), (2) SaO₂ < 87.5 (aOR 5.120), (3) IL-6 > 59.75 (aOR 4.089), (4) low lymphocyte count (aOR 2.880), (5) female sex (aOR 2.290), and (6) age < 68.5 (aOR 1.976). Conclusion: Obesity is an important risk factor for the clinical deterioration of hospitalized COVID-19 patients. BF%, assessed through BIA measuring, was the strongest independent predictor of ARDS in hospitalized COVID-19 patients.

Background/Objectives: Impaired quality of life (QoL) represents one of the most important clinical determinants in heart failure with preserved ejection fraction (HFpEF). This study aimed to evaluate the incremental explanatory value of functional performance and inflammatory biomarkers for QoL in a clinically stable HFpEF cohort. Methods: A single-center observational study enrolled 110 consecutive patients with stable HFpEF. Functional capacity was assessed using the six-minute walk test (6MWT), expressed mainly as percentage of predicted distance. Health-related QoL was measured using the EQ-5D-5L utility index (primary outcome). Circulating IL-6, CRP, and NT-proBNP were obtained from peripheral blood. Hierarchical multivariable linear regression was applied to quantify the incremental contribution of clinical variables, functional capacity, and biomarkers. Results: The median age was 72 years, and 52.7% of the participants were women. The median 6MWT distance was 340 m (75.9% of predicted), and the median EQ-5D index was 0.76. The baseline clinical regression model (age, sex, atrial fibrillation, and glomerular filtration rate) explained 23.5% of EQ-5D variance. The addition of functional capacity increased explained variance to 45.2% (ΔR² = +0.217). The inclusion of IL-6 and NT-proBNP provided a modest additional increase (R² = 0.468; ΔR² = +0.042 in addition to Model 2). In the fully adjusted model, functional capacity (β = 0.376, p < 0.001) and IL-6 (β = −0.185, p < 0.05) remained independent predictors, whereas NT-proBNP lost significance. Conclusions: In stable HFpEF, objective functional capacity represents the dominant determinant of QoL, while inflammatory activation provides an independent but smaller contribution. Functional assessment may therefore be central to patient-centered phenotyping and therapeutic targeting.

Stress plays a crucial role in individual health and significantly contributes to the burden of disease. The COVID-19 pandemic brought numerous challenges to healthcare workers, causing psychosomatic and social disruptions. Healthcare employees were at high risk due to exposure to infection and increased workload. This study examines stress exposure, anxiety, depression, among employees of the Institute of Public Health of Serbia during the COVID-19 pandemic.A total of 220 employees participated in the study, which used a structured questionnaire assessing demographic data, work conditions, and self-reported stress, depression, and anxiety (DASS-21 scale). Factors such as age, gender, work experience, direct patient contact, and COVID-19 in close contacts were examined. Data were statistically analyzed.Most participants reported increased stress and work demands during the pandemic. Over two-thirds had documented COVID-19, with many experiencing multiple infections. Stress was linked to direct patient contact and having a family member with COVID-19. Depression was influenced by age and work experience, while anxiety was more prevalent in younger participants with fewer years of work experience and was associated with alcohol consumption.

Obesity is a global health problem associated with numerous pathological conditions. Unhealthy eating habits and the lack of regular physical activity are considered the most common cause of disordered nutritional status. The aim of the research was to determine the nutritional status in student population and the predictors which determine this condition. The cross-sectional study was conducted on 262 students of the Faculty of Medical Sciences in Kragujevac (130 males and 132 females). Body weight and height, body mass index (BMI) and visceral fat (VF) were measured. Each respondent completed a specially designed questionnaire considering sociodemographic data, eating habits and physical activity. The majority of students have normal BMI values (75.6%), 5.3% were classified as underweight, 14.9% as overweight and 4.3% as obese. Normal VF values were found in 93.1% of subjects, while high in 5.7% and very high in 1.1%. A statistically significant difference in BMI and VF values was found between male and female gender (24.41 vs. 21.05, Sig = 0.000 and 5.47 vs. 3.07, Sig = 0.000, respectively), as well as between students of the first 4 and the last 2 years of study (Sig = 0.019 and 0.000 respectively). Unhealthy eating habits, such as the consumption of sweets, snacks, fast foods and white bread, and the absence of regular physical activity were statistically more present in overweight/obese respondents. Given the significant presence of pre-obesity/obesity in the examined population, corrective measures should be taken in this population in order to avoid a major health problem in the future.