Nonparametric approach to population pharmacokinetics in oncology patients receiving aminoglycoside therapy.
A nonparametric expectation maximization approach to the study of population pharmacokinetics is described for an aminoglycoside antibiotic. The method is used to explore population estimates for gentamicin clearance (liters per hour per creatinine clearance) and volume of distribution (liters per kilogram) in tumor patients. Joint and marginal probability distributions are plotted and further characterized by using standard descriptors such as mean, median, mode, standard deviation, skewness, and kurtosis. Results of additional analyses using hematologic or solid tumor subpopulations agree with those of a recent larger study which found no significant pharmacokinetic differences between these groups. Nonparametric maximum-expectation analyses are convenient and allow exploratory analysis of population estimates directly from routine laboratory information.
Department of Pharmaceutical Services, University of California, Davis Medical Center, Sacramento 95817.
J F
JF
Inciardi
K K
KK
Batra
D000328:Adult; D000368:Aged; D000465:Algorithms; D000900:Anti-Bacterial Agents / Q000493:pharmacokinetics*; D005260:Female; D005839:Gentamicins / Q000493:pharmacokinetics; D006801:Humans; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000378:metabolism / Q000382:microbiology*; D009503:Neutropenia / Q000188:drug therapy / Q000378:metabolism* / Q000382:microbiology; D011336:Probability
D000900:Anti-Bacterial Agents; D005839:Gentamicins