Computer-Assisted Drug Assay Interpretation Based on Bayesian Estimation of Individual Pharmacokinetics

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Abstract
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 makes it appropriate for realistic clinical settings. A validation with a data set of lidocaine [antiarrhythmic drug] 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.