title: Aminoglycoside dosing in pediatric patients.
abstract: We assessed the performance of a predictive algorithm for dosing aminoglycoside antibiotics in 75 pediatric patients and Bayesian feedback in 36. The absolute errors for peak and trough concentrations were 1.83 and 0.80 micrograms/ml, respectively, which seem clinically acceptable for most patients. However, the algorithm had significant negative bias for both peaks and troughs. Implementation of Bayesian feedback eliminated bias in a second set of concentrations and significantly decreased its magnitude for both peaks (p = 0.028) and troughs (p = 0.005). This method may allow more accurate dosing of aminoglycoside antibiotics in pediatric patients, though it would most likely be improved by better definition of population parameters and their variability.
authors.affiliation: Department of Pharmacy Practice, Purdue University School of Pharmacy and Pharmacal Sciences, West Lafayette, Indiana.
authors.forename: B C
authors.initials: BC
authors.lastname: Carlstedt
authors.forename: M
authors.initials: M
authors.lastname: Uaamnuichai
authors.forename: R B
authors.initials: RB
authors.lastname: Day
authors.forename: L
authors.initials: L
authors.lastname: Bowman
authors.forename: D C
authors.initials: DC
authors.lastname: Brater
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D002648:Child; D002675:Child, Preschool; D005260:Female; D005839:Gentamicins / Q000008:administration & dosage* / Q000097:blood; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D014031:Tobramycin / Q000008:administration & dosage* / Q000097:blood
chemical_list: D005839:Gentamicins; D014031:Tobramycin