Joint use of population pharmacokinetics and machine learning for optimizing antiepileptic treatment in pediatric population.

Purpose: Unpredictable drug efficacy and safety of combined antiepileptic therapy is a major challenge during pharmacotherapy decisions in everyday clinical practice. The aim of this study was to describe the pharmacokinetics of valproic acid (VA), lamotrigine (LTG), and levetiracetam (LEV) in a pediatric population using nonlinear mixed-effect modeling, while machine learning (ML) algorithms were applied to identify any relationships among the plasma levels of the three medications and patients' characteristics, as well as to develop a predictive model for epileptic seizures.

Methods: The study included 71 pediatric patients of both genders, aged 2-18 years, on combined antiepileptic therapy.

Antibiotic utility and susceptibility changes of multidrug-resistant and spp: 5-year experience in a tertiary healthcare centre.

Objectives: Multiple studies have identified cross-sectional relationships between antibiotic use and bacterial resistance. The aim of this study was to analyse the susceptibility of multidrug-resistant (MDR) and non-MDR (nMDR) isolates of and spp to cephalosporins: ceftazidime (CTZ), ceftriaxone (CTX), cefepime (CEF) and fluoroquinolones: ciprofloxacin (CIP) and levofloxacin (LEV) in a tertiary healthcare centre from 2014 to 2018. In addition, we aimed to evaluate a correlation between the antibiotic utility and susceptibility of the selected enterobacteria.

Assessment of pharmacokinetic mycophenolic acid clearance models using Monte Carlo numerical analysis.

Previously, we performed population pharmacokinetic analysis and indicated age, mycophenolate mofetil (MMF)/mycophenolic acid (MPA) daily dose, and presence of nifedipine in patient therapy as significant predictors of MPA apparent clearance (CL/F) variability. This study aimed to determine the reliability of previously published population pharmacokinetic models derived from similar studies. Furthermore, this study investigated correspondence between chosen population models from the literature.

Herbal self-medication use in patients with diabetes mellitus type 2.

Background/aim: A considerable number of patients suffering from diabetes mellitus (DM) turn to self-medication using medicinal plants, preparations, and medicine. The aim of this study was to investigate self-medication using medicinal plants and the potential influence of health care professionals' advice or media information regarding the use of herbal dietary supplements with hypoglycemic effect in a population of patients with type 2 DM.

Materials And Methods: This research, in the form of an analytic cross-sectional study, was conducted in 6 pharmacies in the territory of Nis, Serbia, during October 2013.

Correlation of inflammation parameters and biochemical markers of cholestasis with the intensity of lipid peroxidation in patients with choledocholithiasis.

Background/aim: During choledocholitiasis inflammatory oxidant stress involves the promotion of mitochondrial dysfunction through an intracellular oxidant stress in hepatocytes leading mainly to necrosis and less to apoptosis. The product of oxidative stress, malondialdehyde (MDA), is extremely cytotoxic and damages cell membranes and intracellular macromolecules. The toxicity of MDA is based on its ability to act as a mutagenic agent in a cell.