Individualised dosing algorithm and personalised treatment of high-dose rifampicin for tuberculosis.

Robin J SvenssonKatarina NiwardLina Davies ForsmanJudith BruchfeldJakob PauesErik EliassonThomas SchönUlrika S H Simonsson

Published in: British journal of clinical pharmacology (2019)

A new up-to-date exposure target for Bayesian dose optimisation suited for high-dose rifampicin was derived. Using measured plasma concentrations coupled with Bayesian forecasting allowed prediction of the future dose whilst accounting for the auto-induction, saturable pharmacokinetics and high between-occasion variability of rifampicin.

Keyphrases

high dose
mycobacterium tuberculosis
pulmonary tuberculosis
low dose
stem cell transplantation
machine learning
deep learning
current status
combination therapy
hiv aids
hiv infected
antiretroviral therapy
adverse drug