Simultaneous determination of praziquantel, pyrantel embonate, febantel and its active metabolites, oxfendazole and fenbendazole, in dog plasma by liquid chromatography/mass spectrometry.

A liquid chromatography-electrospray-mass spectrometry method (LC/MS) has been developed and validated for determination of praziquantel (PZQ), pyrantel (PYR), febantel (FBT), and the active metabolites fenbendazole (FEN) and oxfendazole (OXF), in dog plasma, using mebendazole as internal standard (IS). The method consists of solid-phase extractions on Strata-X polymeric cartridges. Chromatographic separation was carried out on a Phenomenex Gemini C6 -Phenyl column using binary gradient elution containing methanol and 50 mm ammonium-formate (pH 3). The method was linear (r(2) ≥ 0.990) over concentration ranges of 3-250 ng/mL for PYR andFEB, 5-250 ng/mL for OXF and FEN, and 24-1000 ng/mL for PZQ. The mean precisions were 1.3-10.6% (within-run) and 2.5-9.1% (between-run), and mean accuracies were 90.7-109.4% (within-run) and 91.6-108.2% (between-run). The relative standard deviations (RSD) were <9.1%. The mean recoveries of five targeted compounds from dog plasma ranged from 77 to 94%.The new LC/MS method described herein was fully validated and successfully applied to the bioequivalence studies of different anthelmintic formulations such as tablets containing PZQ, PYR embonate and FBT in dogs after oral administration.

[Knowledge transfer in the instruction of healthcare informatics: quality, efficiency and measurability]. / Tudástranszfer az egészségügyi informatika oktatásában: minoség, hatékonyság, mérhetoség.

INTRODUCTION: Electronic exams have been used at Semmelweis University within Health Care Informatics courses since 2006. The statistical analysis of the electronic exam sheets enabled the authors to assess the reliability of examinations, as well as recommend important measures to increase the quality and efficiency of knowledge transfer. AIM: The main objective of the study was to propose an optimal teaching methodology with a special focus on electronic exams, based on the statistical analysis of databases of electronic exams recorded at Health Care Informatics courses of Semmelweis University. METHOD: All data were analysed with statistical methods at the level of individual questions as well as exam results of each student (2801 medical students have undertaken 4933 electronic exams since 2006). Results were evaluated based on teaching methodology criteria. RESULTS: There was a significantly increased tendency in grades obtained at individual exams. The authors identified exam questions that are needed to be modified or even ignored, because they failed to correlate with the knowledge measurement of the students. CONCLUSIONS: Statistical analysis of exam results proved to be a useful tool to assess methodology of teaching, knowledge transfer, and their practical implications. It is essential to monitor continuously exam results, this may exert a significant impact on the improvement of the quality and efficiency of knowledge transfer processes.