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External Validation of Obese/Critically Ill Vancomycin Population Pharmacokinetic Models in Critically Ill Patients Who Are Obese.
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- Author(s): Alsultan A;Alsultan A; Dasuqi SA; Dasuqi SA; Almohaizeie A; Almohaizeie A; Aljutayli A; Aljutayli A; Aljamaan F; Aljamaan F; Aljamaan F; Omran RA; Omran RA; Alolayan A; Alolayan A; Hamad MA; Hamad MA; Hamad MA; Alotaibi H; Alotaibi H; Altamimi S; Altamimi S; Alghanem SS; Alghanem SS
- Source:
Journal of clinical pharmacology [J Clin Pharmacol] 2024 Mar; Vol. 64 (3), pp. 353-361. Date of Electronic Publication: 2023 Nov 08.- Publication Type:
Journal Article; Research Support, Non-U.S. Gov't- Language:
English - Source:
- Additional Information
- Source: Publisher: Wiley Country of Publication: England NLM ID: 0366372 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-4604 (Electronic) Linking ISSN: 00912700 NLM ISO Abbreviation: J Clin Pharmacol Subsets: MEDLINE
- Publication Information: Publication: 2013- : Oxford : Wiley
Original Publication: Stamford, Conn., Hall Associates. - Subject Terms:
- Abstract: Obesity combined with critical illness might increase the risk of acquiring infections and hence mortality. In this patient population the pharmacokinetics of antimicrobials vary significantly, making antimicrobial dosing challenging. The objective of this study was to assess the predictive performance of published population pharmacokinetic models of vancomycin in patients who are critically ill or obese for a cohort of critically ill patients who are obese. This was a multi-center retrospective study conducted at 2 hospitals. Adult patients with a body mass index of ≥30 kg/m 2 were included. PubMed was searched for published population pharmacokinetic studies in patients who were critically ill or obese. External validation was performed using Monolix software. A total of 4 models were identified in patients who were obese and 5 models were identified in patients who were critically ill. In total, 138 patients who were critically ill and obese were included, and the most accurate models for these patients were the Goti and Roberts models. In our analysis, models in patients who were critically ill outperformed models in patients who were obese. When looking at the most accurate models, both the Goti and the Roberts models had patient characteristics similar to ours in terms of age and creatinine clearance. This indicates that when selecting the proper model to apply in practice, it is important to account for all relevant variables, besides obesity.
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Uster DW, Stocker SL, Carland JE, et al. A model averaging/selection approach improves the predictive performance of model-informed precision dosing: vancomycin as a case study. Clin Pharmacol Ther. 2021;109(1):175-183. - Contributed Indexing: Keywords: critical care; external validation; model-informed precision dosing; obesity; pharmacokinetics; therapeutic drug monitoring; vancomycin
- Accession Number: 6Q205EH1VU (Vancomycin)
0 (Anti-Infective Agents)
0 (Anti-Bacterial Agents) - Publication Date: Date Created: 20231020 Date Completed: 20240228 Latest Revision: 20240422
- Publication Date: 20240422
- Accession Number: 10.1002/jcph.2375
- Accession Number: 37862131
- Source:
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