In silico ordinary differential equation/partial differential equation hemodialysis model estimates methadone removal during dialysis.

Background: There is a need to have a model to study methadone's losses during hemodialysis to provide informed methadone dose recommendations for the practitioner.

Aim: To build a one-dimensional (1-D), hollow-fiber geometry, ordinary differential equation (ODE) and partial differential equation (PDE) countercurrent hemodialyzer model (ODE/PDE model).

Methodology: We conducted a cross-sectional study in silico that evaluated eleven hemodialysis patients.

Individualized Hydrocodone Therapy Based on Phenotype, Pharmacogenetics, and Pharmacokinetic Dosing.

Objectives: (1) To quantify hydrocodone (HC) and hydromorphone (HM) metabolite pharmacokinetics with pharmacogenetics in CYP2D6 ultra-rapid metabolizer (UM), extensive metabolizer (EM), and poor metabolizer (PM) metabolizer phenotypes. (2) To develop an HC phenotype-specific dosing strategy for HC that accounts for HM production using clinical pharmacokinetics integrated with pharmacogenetics for patient safety.

Setting: In silico clinical trial simulation.