Rw. Jelliffe et al., ADAPTIVE-CONTROL OF DRUG-DOSAGE REGIMENS - BASIC FOUNDATIONS, RELEVANT ISSUES, AND CLINICAL EXAMPLES, International journal of bio-medical computing, 36(1-2), 1994, pp. 1-23
In this paper we examine several of the fundamental foundations and re
levant clinical issues in adaptive control of drug dosage regimens for
patients. Truly individualized therapy with drugs having narrow margi
ns of safety first requires a practical pharmacokinetic/dynamic model
of the behavior of a drug, Past experience with a drug is stored in th
e form of a population model. Next, using the information in such a mo
del and its relationship to the incidence of adverse reactions, a spec
ific, explicit therapeutic goal must be selected by the responsible cl
inician, based on the patient's need for the drug and the risk of adve
rse reactions felt to be justified by each patient's need, small, mode
rate, or great. Individualized drug therapy thus begins with the selec
tion of individualized therapeutic goals (low, moderate, or high) for
each patient. Using subsequent feedback from the patient's serum drug
levels, and using Bayesian fitting, the model is then linked to each p
atient as a patient-specific model. Control of the model by the dosage
regimen increasingly controls the patient, to better obtain the desir
ed explicit therapeutic goals. This process is essentially similar to
that of a flight control or missile guidance system.