Purpose: To determine whether severe hypoalbuminemia (25 mg/L; 23.04 [19.14] vs 13.28 [11.28], P = .01). In the group of patients who received the vancomycin loading dose of 2 g, C _min was significantly higher in patients with severe hypoalbuminemia compared to the patients with nonsevere hypoalbuminemia (34.52 [25.93] vs 15.37 [10.48], P = .04). Conclusion: In critically ill septic patients with severe hypoalbuminemia, there is a high probability that the loading dose of vancomycin is not necessary since it is associated with potentially toxic vancomycin C _min, while in the patients with nonsevere hypoalbuminemia the loading dose may be necessary to achieving therapeutic C _min.

Abstract: Immunosuppressive therapy is the cornerstone of successful kidney transplantation. Frequently used immunosuppressives are cyclosporine, tacrolimus, sirolimus and mycophenolic acid. These drugs have narrow therapeutic index and show high pharmacokinetic variability. In order to maintain the balance between efficacy and safety, dosing is based on measured drug concentrations. Proper identification, quantification and understanding the sources of variability in measured concentrations facilitate routine dose adjustment in clinical practice. Classical pharmacokinetic studies have limited use in transplant patients attributable to design with intense sampling in a small, relatively homogenous population, and identification of only single variability factor per study. Population approach is a powerful tool for analysing sparse data, identifying factors that influence drug pharmacokinetics and estimating variability. In this report we reviewed available population pharmacokinetic models for cyclosporine, tacrolimus, sirolimus and mycophenolic acid in adult kidney transplant patients. The major focus was to describe various demographic factors, biochemical parameters, genetic polymorphisms of metabolic enzymes and transporters and drug-drug interactions, which have been identified as an important concern of pharmacokinetic variability in kidney transplant patients.

Background and Aim: Adverse effects are common in children treated with antiepileptic medications and may affect parental beliefs about treatment. The aim of the study was to investigate the relationship between adverse effects and parental beliefs about antiepileptic drugs used for the treatment of their children. Methods: The study was performed at the University Children’s Hospital, Belgrade, Serbia from 2013–2015. Parents of children treated with valproic acid, carbamazepine or lamotrigine, were eligible. They were asked to fill in the Beliefs about Medications Questionnaire (BMQ) and The Liverpool Adverse Events Profile (LAEP). Results: Parents of 127 children (average age 9.88 ± 4.16 years) of whom 111 had epilepsy (67 generalized, 44 focal) and 16 with febrile seizures participated in the study. Nervousness and/or agitation, weight gain, restlessness, headache, difficulty in concentrating, feeling of aggression and upset stomach were most frequent adverse effects, reported in 37% of the population. BMQ-specific necessity scores significantly correlated with parental education; parents with elementary school showed lower scores than those with higher education. The presence of difficulty in concentrating of their child was associated with higher BMQ concern scores (20.73 ± 4.25 vs. 18.99 ± 3.60, p = 0.043) as well as necessity scores (18.42 ± 3.31 vs. 16.40 ± 2.73, p = 0.017). Higher scores of BMQ-general overuse were reported in the presence of a headache (8.79 ± 2.81 vs. 7.64 ± 2.72, p = 0.027). Conclusions: The main finding of our study is that parental beliefs about antiepileptic drugs were associated with the presence of adverse effects. Understanding this relationship could allow physicians and pharmacists to structure better educational programs for parents of children treated with antiepileptic drugs. Education should be more focused towards understanding the adverse effects of antiepileptics which could alleviate parental concerns and strengthen their beliefs about the necessity of medication use in their children.

Due to frequent clinical trial failures and consequently fewer new drug approvals, the need for improvement in drug development has, to a certain extent, been met using model-based drug development. Pharmacometrics is a part of pharmacology that quantifies drug behaviour, treatment response and disease progression based on different models (pharmacokinetic - PK, pharmacodynamic - PD, PK/PD models, etc.) and simulations. Regulatory bodies (European Medicines Agency, Food and Drug Administration) encourage the use of modelling and simulations to facilitate decision-making throughout all drug development phases. Moreover, the identification of factors that contribute to variability provides a basis for dose individualisation in routine clinical practice. This review summarises current knowledge regarding the application of pharmacometrics in drug development and clinical practice with emphasis on the population modelling approach.