Implementation and evaluation of control strategies for individualizing dosage regimens, with application to the aminoglycoside antibiotics.
Three strategies are implemented for controlling serum concentrations by determining individualized dosage regimens. The methods incorporate, respectively, nonlinear least squares parameter estimation, Bayesian maximum a posteriori probability estimation, and a stochastic control procedure that minimizes the expected value of an appropriate therapeutic cost. The performance of the three dose regimen calculation strategies was evaluated using Monte Carlo simulations of a typical therapeutic protocol for tobramycin.
D000293:Adolescent; D000328:Adult; D000368:Aged; D000617:Aminoglycosides / Q000378:metabolism; D000900:Anti-Bacterial Agents / Q000378:metabolism*; D001499:Bayes Theorem; D004334:Drug Administration Schedule; D005069:Evaluation Studies as Topic; D005260:Female; D006801:Humans; D007700:Kinetics; D008297:Male; D008875:Middle Aged; D009010:Monte Carlo Method; D014031:Tobramycin / Q000097:blood / Q000378:metabolism
D000617:Aminoglycosides; D000900:Anti-Bacterial Agents; D014031:Tobramycin