Computer-assisted drug assay interpretation based on Bayesian estimation of individual pharmacokinetics: application to lidocaine.
A microcomputer program for individualized drug level prediction based on Bayesian forecasting is presented. It is written so that the clinician can integrate patient demographics and drug levels to design a new dosage regimen tailored to an individual patient. The program's great flexibility and robustness make it appropriate for realistic clinical settings. A validation with a data set of lidocaine concentrations measured in 18 patients revealed that the program can predict serum lidocaine levels accurately enough to enhance individual patient dosage adjustment within a few hours after a dosage regimen is started.
D001499:Bayes Theorem; D003201:Computers; D006801:Humans; D007700:Kinetics; D008012:Lidocaine / Q000008:administration & dosage / Q000378:metabolism*; D008297:Male; D008838:Microcomputers; D008954:Models, Biological; D011336:Probability; D012044:Regression Analysis; D012984:Software
D008012:Lidocaine