title: Practical therapeutic drug management in HIV-infected patients: use of population pharmacokinetic models supplemented by individualized Bayesian dose optimization.
abstract: Individualized, model-based, target-oriented optimal concentration-controlled dosing of HIV medications can be beneficial to patients for whom there are limited dosing guidelines, such as children, adolescents, or patients with altered physiologic function. Barriers to this approach include lack of training, expertise, and access to appropriate software to assist the clinician. The authors present 4 illustrative clinical cases of HIV-infected patients whose therapy was optimized using population pharmacokinetic models (here generated from published studies) and supplemented by individualized Bayesian adaptive control of dosage regimens as implemented in the MM-USCPACK software. These 4 cases illustrate how clinicians can maximize therapeutic success in (1) patients with reduced drug clearance, (2) young adolescents transitioning to adult physiology, (3) patients with dose-dependent toxicity, and (4) adolescents with limited therapeutic options.
authors.affiliation: Laboratory of Applied Pharmacokinetics, Keck School of Medicine, University of Southern California, Los Angeles, USA.
authors.forename: Michael
authors.initials: M
authors.lastname: Neely
authors.forename: Roger
authors.initials: R
authors.lastname: Jelliffe
mesh_terms: D000293:Adolescent; D019380:Anti-HIV Agents / Q000008:administration & dosage* / Q000009:adverse effects; D023241:Antiretroviral Therapy, Highly Active; D001499:Bayes Theorem; D002648:Child; D003198:Computer Simulation; D024882:Drug Resistance, Viral; D005260:Female; D015658:HIV Infections / Q000188:drug therapy* / Q000378:metabolism; D006801:Humans; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D018894:Reverse Transcriptase Inhibitors / Q000008:administration & dosage* / Q000009:adverse effects; D012984:Software
chemical_list: D019380:Anti-HIV Agents; D018894:Reverse Transcriptase Inhibitors