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

AIMS: To propose new exposure targets for Bayesian dose optimisation suited for high‐dose rifampicin and to apply them using measured plasma concentrations coupled with a Bayesian forecasting algorithm allowing predictions of future doses, considering rifampicin's auto‐induction, saturable phar...

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Bibliografiska uppgifter
I publikationen:Br J Clin Pharmacol
Huvudupphovsmän: Svensson, Robin J., Niward, Katarina, Davies Forsman, Lina, Bruchfeld, Judith, Paues, Jakob, Eliasson, Erik, Schön, Thomas, Simonsson, Ulrika S.H.
Materialtyp: Artigo
Språk:Inglês
Publicerad: John Wiley and Sons Inc. 2019
Ämnen:
Original Articles
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC6783589/
https://ncbi.nlm.nih.gov/pubmed/31269277
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/bcp.14048
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