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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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| Publicado no: | Br J Clin Pharmacol |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2019
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| Assuntos: | |
| Acesso em linha: | 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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