Background and Objectives: Workplace burnout syndrome is often as sociated with particular aspects of certain job positions, especially those that entail working with people with special needs. The burnout syndrome in healthcare jobs is a serious problem that has grown into an epidemic among healthcare workers and associates. The aim of this research is to assess the presence of stress and burnout syndrome at work with healthcare workers, expert workers, professional associates, and associates in social service institutions in Belgrade. Materials and Methods: This research was conducted in the form of a cross-sectional study of a representative sample in social institutions in Belgrade. It was conducted from March to the end of June of 2023. The sample of the study had 491 participants. The questionnaires used were a structured instrument with social–demographic and social–economic characteristics, workplace characteristics, lifestyle characteristics, and the following questionnaires: DASS-21, Copenhagen, Brief Resilience Scale, and Brief Resilient Coping Scale. Results: The end results indicate the following to be significant risk factors for the occurrence of workplace burnout syndrome: overtime (OR = 2.62; CI = 1.50–4.56), BRS average score (OR = 0.28; CI = 0.17–0.44), DASS21 D heightened depression (OR = 2.09; CI = 1.1–4.04), DASS21 A heightened anxiety (OR = 2.38; CI = 1.34–4.21), and DASS21 S heightened stress (OR = 2.08; CI = 1.11–3.89). The only protective risk factor that stood out was the self-assessment of health levels (OR = 0.60; CI = 0.42–0.85). Conclusion: Overtime is a significant factor associated with workplace burnout. Apart from it, other significant factors associated with workplace burnout were heightened depression, anxiety, and stress levels.

There are many determinants of vancomycin clearance, but these have not been analyzed separately in populations with different levels of renal function, which could be why some important factors have been missed. The aim of our study was to compare the pharmacokinetic parameters and factors that may affect vancomycin pharmacokinetics in groups of patients with normal renal function and in those with chronic kidney failure. The study used a population pharmacokinetic modeling approach, based on plasma vancomycin concentrations and other data from 78 patients with chronic kidney failure and 32 patients with normal renal function. The model was developed using NONMEM software and validated by bootstrapping. The final model for patients with impaired kidney function was described by the following equation: CL (L/h) = 0.284 + 0.000596 x DD + 0.00194 x AST, and that for the patients with normal kidney function by: CL (L/h) = 0.0727 + 0.205 x FIB. If our results are confirmed by new studies on two similar populations, these factors could be considered when dosing vancomycin in patients with chronically damaged kidneys, as well as in patients with normal kidneys who frequently require high doses of vancomycin.

The purpose of this study was to derive a population pharmacokinetics (PPK) model of lamotrigine clearance as well as to identify and describe factors that influence it in Serbian patients with epilepsy. A total of 40 steady-state serum concentrations from 38 adult and pediatric patients with epilepsy, collected during routine therapeutic drug monitoring, were used for the analysis. To determine the influence of different covariates on the estimate of lamotrigine clearance we built a non-linear mixed-effects one-compartment model with the first order elimination and without absorption. Typical mean value of lamotrigine clearance, estimated by the base model (without covariates), in our population was 1.15 l h-1. The final model showed that lamotrigine clearance increased with total body weight, daily dose and concomitant administration of carbamazepine, and decreased with concomitant administration of valproate. The magnitude of carbamazepine and valproate effect was +1.13 l h-1 and -1 l h-1, respectively. The final model was validated in a group of 15 epileptic patients, showing good predictive performance. The derived model describes well lamotrigine clearance in terms of characteristics of Serbian patients, offering basis for rational individualization of lamotrigine dosing regimens.