Short-Term Antiretroviral Treatment Recommendations Based on Sensitivity Analysis of a Mathematical Model for HIV Infection of CD₄⁺Τ Cells

Bull Math Biol. 2017 Nov;79(11):2649-2671. doi: 10.1007/s11538-017-0345-7. Epub 2017 Sep 22.

Abstract

HIV infection is one of the most difficult infections to control and manage. The most recent recommendations to control this infection vary according to the guidelines used (US, European, WHO) and are not patient-specific. Unfortunately, no two individuals respond to infection and treatment quite the same way. The purpose of this paper is to make use of the uncertainty and sensitivity analysis to investigate possible short-term treatment options that are patient-specific. We are able to identify the most significant parameters that are responsible for ART outcome and to formulate some insights into the ART success.

Keywords: Adjoint equations; HIV infection of cells; Optimal control; Sensitivity analysis; State equations; Uncertainty.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Anti-HIV Agents / administration & dosage*
  • CD4-Positive T-Lymphocytes / virology
  • Computer Simulation
  • Drug Administration Schedule
  • HIV Infections / drug therapy*
  • HIV Infections / virology
  • Humans
  • Mathematical Concepts
  • Models, Biological*
  • Treatment Outcome
  • Uncertainty

Substances

  • Anti-HIV Agents