Background/Objectives: This cross-sectional study aimed to produce an adapted Croatian version of the Negative Behaviors in Health Care Questionnaire and to validate it. Methods: The process comprised the translation, cultural adaptation, and psychometric evaluation of the questionnaire. Clinical specialists and qualified bilingual speakers participated in both forward and backward translation. Face validity was tested. The survey’s original developer approved the final version. The reliability of the questionnaire was assessed using the test–retest method and Cronbach’s alpha coefficient. Exploratory and confirmatory factor analyses and assessments of divergent and convergent validity were conducted. The collected data were analyzed using SPSS 21.0 and R, program version 3.5.2., for Windows. Results: A five-factor structure was obtained and confirmed via CFA, although not all fit coefficients were satisfactory. The internal consistency reliability was 0.86 for the contributing factors and the seriousness of aggression, 0.79 for the use of aggression, 0.95 for the fear of retaliation, and 0.83 for the frequency of aggression; in total, α = 0.88. Test–retest reliability was moderate. All correlations were statistically significant, and the correlation was the highest for seriousness (0.754) and frequency of aggression (0.725) and the lowest for contributing factors (0.528). Test–retest reliability was satisfactory. Statistically significant differences were found when comparing respondents by gender, age, work experience, education, and hierarchical position. Conclusions: The adapted, translated, and validated survey provides a valuable tool for assessing lateral and vertical aggression between and towards nurses in terms of contributing factors, frequency, severity, uses of aggression, and fear of retaliation.

Background/Objectives: Congenital heart disease (CHD), affecting approximately 1% of live births, has transitioned to a chronic condition due to advances in diagnostics and surgery, resulting in an increasing adult congenital heart disease (ACHD) population. This study characterizes the clinical and demographic profiles of ACHD patients in Serbia, focusing on congenital anomalies, mortality rates, and key clinical factors to identify opportunities for improving care and outcomes. Methods: This observational single-center study was conducted at the Cardiovascular Institute “Dedinje” in Belgrade, Serbia, involving patients diagnosed or treated for CHD between 2006 and 2022. Results: A total of 1532 patients were included in the study, with common diagnoses including atrial septal defects (ASD) (47.65%) and ventricular septal defects (VSD) (13.19%). The mean patient age was 48.31 years, with a slight predominance of females (57.21%). The complexity of CHD was categorized as mild (54.6%), moderate (36.5%), and severe (6.3%). The mortality rate was 4.2%, with higher rates observed in conditions like Ebstein anomaly (17.78%) and congenital aortic stenosis (11.76%). Conclusions: This study provides a comprehensive overview of the current state of ACHD management in Serbia, highlighting the high prevalence of ASD and VSD among patients, the challenges associated with moderate and severe CHD, and the notable mortality rates for certain conditions. The findings underscore the importance of improving early detection, individualized treatment plans, and multidisciplinary care to enhance patient outcomes in this growing population.

This study investigates the use of deep learning algorithms to predict the discharge coefficient (Cd) of contaminated multi-hole orifice flow meters with circular opening. Datasets (MHO1 and MHO2) were obtained from computational fluid dynamic simulations for two circular multi-hole orifice flow meters of different geometries. To evaluate the performance and generalization capabilities of different models, three distinct scenarios, each involving different dataset configurations and normalization techniques were designed. For each scenario, three deep learning models (feedforward neural networks, convolutional neural network, and recurrent neural network) were implemented and evaluated based on their performance metrics, including mean squared error (MSE), root mean squared error (RMSE), mean absolute error (MAE), and the coefficient of determination (R2). For all three scenarios eight models for each neural network model were developed (FFNN – four models, CNN – two models, RNN – two models). The same structure of models was used across all scenarios to ensure consistency in the evaluation process. Key input parameters include geometrical and flow variables such as β – parameter, contamination thickness, radial distance, Reynolds number, and orifice diameters. Results demonstrate the effectiveness of deep learning in accurately predicting discharge coefficient for different contamination conditions and different geometries. This study showed that deep learning models can be used for prediction of discharge coefficients for multi-hole orifice flow meters of similar geometry, based on data obtained from one orifice flow meter for different contamination parameters.

Background and Objectives: Depression is a common mental problem in the older population and has a significant impact on recovery and general well-being. A comprehensive understanding of the prevalence of depressive symptoms and their effects on functional outcomes is essential for improving care strategies. The primary aim of this study was to determine the prevalence of depressive symptoms in older patients undergoing geriatric rehabilitation and to assess their specific impact on their functional abilities. Materials and Methods: A retrospective study was conducted at the Lucerne Cantonal Hospital in Wolhusen, Switzerland, spanning from 2015 to 2020 and including 1159 individuals aged 65 years and older. The presence of depressive symptoms was assessed using the Geriatric Depression Scale (GDS) Short Form, while functional abilities were evaluated using the Functional Independence Measure (FIM) and the Tinetti test. Data analysis was performed using TIBCO Statistica 13.3, with statistical significance set at p < 0.05. Results: Of the participants, 22.9% (N = 266) exhibited depressive symptoms, with no notable differences between genders. Although all patients showed functional improvements, the duration of rehabilitation was prolonged by two days (p = 0.012, d = 0.34) in those with depressive symptoms. Alarmingly, 76% of participants were classified as at risk of falling based on the Tinetti score. However, no significant correlation was found between the GDS and Tinetti scores at admission (p = 0.835, r = 0.211) or discharge (p = 0.336, r = 0.184). The results from the non-parametric Wilcoxon matched-pairs test provide compelling evidence of significant changes in FIM scores when comparing admission scores to those at discharge across all FIM categories. Conclusions: Depressive symptoms are particularly common in geriatric rehabilitation patients, leading to prolonged recovery time and increased healthcare costs. While depressive symptoms showed no correlation with mobility impairments, improvements in functional status were directly associated with reduced GDS scores. Considering mental health during admission and planning is critical in optimizing rehabilitation outcomes.

The aim of this study was to examine the gender-specific criterion validity of the Physical Activity Questionnaire for Children (PAQ-C) in a sample of urban Croatian early school-age children. The participants were 80 children (aged 9-11 years; 36 girls, 44 boys) from southern Croatia. The PAQ-C was used to indirectly measure physical activity (PA), whereas the GENEActiv accelerometers were used to obtain data on PA directly. Spearman’s correlations between variables, and forward multiple regressions were calculated separately for boys and girls. The differences in the studied variables between genders were established via a t-test for independent samples. Boys reported higher PAQ-C scores (t test = 3.6, p<0.05), had more vigorous PA (t test =3.87, p<0.05), and performed more steps than girls did (t test =3.44, p<0.05). The correlations between the PAQ-C and accelerometer-derived data were similar in magnitude across genders. Vigorous PA was determinant of the PAQ-C in boys (Beta =0.44, p<0.05), and moderate PA was found to be a determinant of the PAQ-C in girls (Beta =0.51, p<0.05). While the criterion validity of the PAQ-C is similar for both boys and girls, by acknowledging and addressing potential gender differences in activity patterns associated with questionnaire-based scores, we can develop more effective strategies to encourage PA in children.

Background: Acute intracranial stenting for the treatment of patients with large vessel occlusion in case of failed reperfusion or severe stenosis is a growing practice. Our aim was to explore the clinical and radiological outcome in a large multicenter and international registry. Methods: The RESISTANT registry is a multicenter and international retrospective registry of patients with large vessel occlusion stroke that underwent intracranial stenting due an acute stroke from 2016 to 2023. Primary endpoints was clinical outcome at 90 days. Secondary efficacy endpoints were final reperfusion (mTICI 2b-3), and stent patency at 24 hours. Safety outcomes included procedural complications, symptomatic intracranial hemorrhage and in-hospital mortality. Results: Among 890 patients enrolled, 862 fulfilled inclusion criteria. Median age was 67.0 years (IQR 59.0-77.0), 558 (64.7%) were males and median NIHSS was 12 (IQR 7.0-19.0). Occlusion location was proximal in 758 (87.9%) patients and anterior circulation was affected in 613 (71.1%) patients (390 M1-MCA, 142 terminal ICA). The indication for intracranial stenting was failed reperfusion (mTICI 0-2a) in 456 patients (52.9%). After intracranial stenting, successful recanalization was achieved in 764 (88.6%) with a reocclusion rate during admission of 11.9% and missing controls of 17.7%. The rate of symptomatic intracranial hemorrhage was 8.1%. At 90 days, the median mRS was 3 (IQR 1-6). Successful recanalization and regular flow after stenting were predictors of functional outcome at 90 days. No variables were independently associated with early reocclusion or symptomatic intracranial hemorrhage. Conclusion: Acute intracranial stenting was an effective therapy for patients with failed reperfusion or severe stenosis. Successful reperfusion and regular flow after stenting predicted functional outcome. Prospective studies are warranted to confirm efficacy and safety.