Achievement of therapeutic antibiotic exposures using Bayesian dosing software in critically unwell children and adults with sepsis
Author:
Funder
National Health and Medical Research Council
The University of Queensland
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00134-024-07353-3.pdf
Reference40 articles.
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2. Schlapbach LJ, Straney L, Alexander J, MacLaren G, Festa M, Schibler A, Slater A, Group APS (2015) Mortality related to invasive infections, sepsis, and septic shock in critically ill children in Australia and New Zealand, 2002–13: a multicentre retrospective cohort study. Lancet Infect Dis 15:46–54. https://doi.org/10.1016/S1473-3099(14)71003-5
3. Kumar A, Haery C, Paladugu B, Kumar A, Symeoneides S, Taiberg L, Osman J, Trenholme G, Opal SM, Goldfarb R, Parrillo JE (2006) The duration of hypotension before the initiation of antibiotic treatment is a critical determinant of survival in a murine model of Escherichia coli septic shock: association with serum lactate and inflammatory cytokine levels. J Infect Dis 193:251–258. https://doi.org/10.1086/498909
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5. Tabak YP, Vankeepuram L, Ye G, Jeffers K, Gupta V, Murray PR (2018) Blood culture turnaround time in U.S. acute care hospitals and implications for laboratory process optimization. J Clin Microbiol. https://doi.org/10.1128/jcm.00500-18
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1. Modified frailty index effectively predicts adverse outcomes in sepsis patients in the intensive care unit;Intensive and Critical Care Nursing;2024-10
2. Correction: Achievement of therapeutic antibiotic exposures using Bayesian dosing software in critically unwell children and adults with sepsis;Intensive Care Medicine;2024-04-02
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