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Model-informed precision dosing in vancomycin treatment
DC Field | Value | Language |
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dc.contributor.author | 김정호 | - |
dc.contributor.author | 박경수 | - |
dc.contributor.author | 이상국 | - |
dc.contributor.author | 채동우 | - |
dc.contributor.author | 윤석용 | - |
dc.date.accessioned | 2024-01-03T00:44:14Z | - |
dc.date.available | 2024-01-03T00:44:14Z | - |
dc.date.issued | 2023-10 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/197355 | - |
dc.description.abstract | Introduction: While vancomycin remains a widely prescribed antibiotic, it can cause ototoxicity and nephrotoxicity, both of which are concentration-associated. Overtreatment can occur when the treatment lasts for an unnecessarily long time. Using a model-informed precision dosing scheme, this study aims to develop a population pharmacokinetic (PK) and pharmacodynamic (PD) model for vancomycin to determine the optimal dosage regimen and treatment duration in order to avoid drug-induced toxicity. Methods: The data were obtained from electronic medical records of 542 patients, including 40 children, and were analyzed using NONMEM software. For PK, vancomycin concentrations were described with a two-compartment model incorporating allometry scaling. Results and discussion: This revealed that systemic clearance decreased with creatinine and blood urea nitrogen levels, history of diabetes and renal diseases, and further decreased in women. On the other hand, the central volume of distribution increased with age. For PD, C-reactive protein (CRP) plasma concentrations were described by transit compartments and were found to decrease with the presence of pneumonia. Simulations demonstrated that, given the model informed optimal doses, peak and trough concentrations as well as the area under the concentration-time curve remained within the therapeutic range, even at doses smaller than routine doses, for most patients. Additionally, CRP levels decreased more rapidly with the higher dose starting from 10 days after treatment initiation. The developed R Shiny application efficiently visualized the time courses of vancomycin and CRP concentrations, indicating its applicability in designing optimal treatment schemes simply based on visual inspection. | - |
dc.description.statementOfResponsibility | open | - |
dc.format | application/pdf | - |
dc.language | English | - |
dc.publisher | Frontiers Media | - |
dc.relation.isPartOf | FRONTIERS IN PHARMACOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | Model-informed precision dosing in vancomycin treatment | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Laboratory Medicine (진단검사의학교실) | - |
dc.contributor.googleauthor | Sukyong Yoon | - |
dc.contributor.googleauthor | Jinju Guk | - |
dc.contributor.googleauthor | Sang-Guk Lee | - |
dc.contributor.googleauthor | Dongwoo Chae | - |
dc.contributor.googleauthor | Jeong-Ho Kim | - |
dc.contributor.googleauthor | Kyungsoo Park | - |
dc.identifier.doi | 10.3389/fphar.2023.1252757 | - |
dc.contributor.localId | A00903 | - |
dc.contributor.localId | A01422 | - |
dc.contributor.localId | A02810 | - |
dc.contributor.localId | A04014 | - |
dc.relation.journalcode | J03340 | - |
dc.identifier.eissn | 1663-9812 | - |
dc.identifier.pmid | 37876732 | - |
dc.subject.keyword | C-reactive protein | - |
dc.subject.keyword | NONMEM | - |
dc.subject.keyword | R shiny | - |
dc.subject.keyword | model-informed precision dosing | - |
dc.subject.keyword | optimal dose | - |
dc.subject.keyword | pharmacodynamic | - |
dc.subject.keyword | pharmacokinetic | - |
dc.subject.keyword | vancomycin | - |
dc.contributor.alternativeName | Kim, Jeong Ho | - |
dc.contributor.affiliatedAuthor | 김정호 | - |
dc.contributor.affiliatedAuthor | 박경수 | - |
dc.contributor.affiliatedAuthor | 이상국 | - |
dc.contributor.affiliatedAuthor | 채동우 | - |
dc.citation.volume | 14 | - |
dc.citation.number | 10 | - |
dc.citation.startPage | 1252757 | - |
dc.identifier.bibliographicCitation | FRONTIERS IN PHARMACOLOGY, Vol.14(10) : 1252757, 2023-10 | - |
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