title: Measurement error robustness of a closed-loop minimal sampling method for HIV therapy switching.
abstract: We test the robustness of a closed-loop treatment scheduling method to realistic HIV viral load measurement error. The purpose of the algorithm is to allow the accurate detection of an induced viral load minimum with a reduced number of samples. Therapy must be switched at or near the viral-load minimum to achieve optimal therapeutic benefit; therapeutic benefit decreases logarithmically with increased viral load at the switching time. The performance of the algorithm is characterized using a number of metrics. These include the number of samples saved vs. fixed-rate sampling, the risk-reduction achieved vs. the risk-reduction possible with frequent sampling, and the difference between the switching time vs. the theoretical optimal switching time. The algorithm is applied to simulated patient data generated from a family of data-driven patient models and corrupted by experimentally confirmed levels of log-normal noise.
authors.affiliation: Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA. fabianc@udel.edu
authors.forename: E Fabian
authors.initials: EF
authors.lastname: Cardozo
authors.forename: Ryan
authors.initials: R
authors.lastname: Zurakowski
mesh_terms: D000465:Algorithms; D019380:Anti-HIV Agents / Q000008:administration & dosage*; D015415:Biomarkers / Q000032:analysis; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D004360:Drug Therapy, Computer-Assisted / Q000379:methods*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005246:Feedback; D006801:Humans; D008954:Models, Biological; D018401:Sample Size; D016896:Treatment Outcome; D019562:Viral Load / Q000379:methods*
chemical_list: D019380:Anti-HIV Agents; D015415:Biomarkers