RT Journal Article
SR Electronic
T1 Therapeutic drug monitoring of antibiotic agents: evaluation of predictive performance
JF European Journal of Hospital Pharmacy
JO Eur J Hosp Pharm
FD British Medical Journal Publishing Group
SP 85
OP 88
DO 10.1136/ejhpharm-2017-001396
VO 26
IS 2
A1 Martin Šíma
A1 Hana Bakhouche
A1 Jan Hartinger
A1 Tereza Cikánková
A1 Ondřej Slanař
YR 2019
UL http://ejhp.bmj.com/content/26/2/85.abstract
AB Background The precision of the population pharmacokinetic model used in therapeutic drug monitoring (TDM) is essential for successful dosage optimisation.Objective To evaluate the predictive performance of pharmacokinetic models used in our hospital and to evaluate the possible impact of demographic characteristics or renal function on TDM accuracy.Methods We compared a posteriori an adjusted concentration–time curve profile based on the first measured drug concentration with the second measured drug concentration. Linear regression models were used to compare predicted and observed drug serum concentrations, and to evaluate potential relationships between predictive performance and patients´ demographic/clinical features. Predictive performance of TDM was expressed using accuracy, precision, sensitivity and specificity.Results One hundred and fifty-two patients were enrolled in the study. All pharmacokinetic models showed good predictive performance expressed by the coefficient of determination (r2) of 0.5642, 0.7263, 0.9001 and 0.9454 for continuous vancomycin, intermittent vancomycin, amikacin and gentamicin, respectively. Accuracy was 93.3%, 91.2%, 113.9% and 130.9% for continuous vancomycin, intermittent vancomycin, amikacin and gentamicin, respectively. Demographic characteristics or renal functions had no substantial impact on the accuracy of TDM.Conclusion We found the predictive performance of both aminoglycosides and vancomycin pharmacokinetic models to be satisfactory.