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  5. Population Pharmacokinetics of Intravenous Artesunate: A Pooled Analysis of Individual Data From Patients With Severe Malaria

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Article
English
2014

Population Pharmacokinetics of Intravenous Artesunate: A Pooled Analysis of Individual Data From Patients With Severe Malaria

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English
2014
CPT Pharmacometrics & Systems Pharmacology
Vol 3 (11)
DOI: 10.1038/psp.2014.43

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Sir Nicholas White
Sir Nicholas White

University Of Cambridge

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Sophie Zaloumis
Joel Tärning
Sanjeev Krishna
+11 more

Abstract

There are ~660,000 deaths from severe malaria each year. Intravenous artesunate (i.v. ARS) is the first‐line treatment in adults and children. To optimize the dosing regimen of i.v. ARS, the largest pooled population pharmacokinetic study to date of the active metabolite dihydroartemisinin (DHA) was performed. The pooled dataset consisted of 71 adults and 195 children with severe malaria, with a mixture of sparse and rich sampling within the first 12 h after drug administration. A one‐compartment model described the population pharmacokinetics of DHA adequately. Body weight had the greatest impact on DHA pharmacokinetics, resulting in lower DHA exposure for smaller children (6–10 kg) than adults. Post hoc estimates of DHA exposure were not significantly associated with parasitological outcomes. Comparable DHA exposure in smaller children and adults after i.v. ARS was achieved under a dose modification for intramuscular ARS proposed in a separate analysis of children. CPT Pharmacometrics Syst. Pharmacol . (2014) 3, e145; doi: 10.1038/psp.2014.43 ; published online 05 November 2014

How to cite this publication

Sophie Zaloumis, Joel Tärning, Sanjeev Krishna, Ric N. Price, Sir Nicholas White, Timothy M. E. Davis, James M. McCaw, Piero Olliaro, Richard J. Maude, Peter G. Kremsner, Arjen M. Dondorp, Melba Gomes, Karen I. Barnes, J. A. Simpson (2014). Population Pharmacokinetics of Intravenous Artesunate: A Pooled Analysis of Individual Data From Patients With Severe Malaria. CPT Pharmacometrics & Systems Pharmacology, 3(11), pp. 1-9, DOI: 10.1038/psp.2014.43.

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Publication Details

Type

Article

Year

2014

Authors

14

Datasets

0

Total Files

0

Language

English

Journal

CPT Pharmacometrics & Systems Pharmacology

DOI

10.1038/psp.2014.43

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