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Serum Cystatin C Is a Major Predictor of Vancomycin Clearance in a Population Pharmacokinetic Analysis of Patients with Normal Serum Creatinine Concentrations
We developed a population pharmacokinetic model of vancomycin by integrating the effects of cystatin C and other demographic factors in a large population of Korean patients with normal serum creatinine concentrations to elucidate the precise role of serum cystatin C concentrations in the prediction...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Academy of Medical Sciences
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3546104/ https://www.ncbi.nlm.nih.gov/pubmed/23341711 http://dx.doi.org/10.3346/jkms.2013.28.1.48 |
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author | Chung, Jae-Yong Jin, Sung-Joon Yoon, Ji-Hyun Song, Young-Goo |
author_facet | Chung, Jae-Yong Jin, Sung-Joon Yoon, Ji-Hyun Song, Young-Goo |
author_sort | Chung, Jae-Yong |
collection | PubMed |
description | We developed a population pharmacokinetic model of vancomycin by integrating the effects of cystatin C and other demographic factors in a large population of Korean patients with normal serum creatinine concentrations to elucidate the precise role of serum cystatin C concentrations in the prediction of vancomycin clearance. A population pharmacokinetic model of vancomycin was developed using NONMEM software from a total of 1,373 vancomycin concentration measurements in 678 patients whose serum creatinine concentrations were lower than 1.2 mg/dL. Covariate selection revealed that cystatin C was the most influential factor and had negative influence ((-0.78)) in the relationship. Total body weight, sex, age, and serum creatinine were also significantly correlated with the clearance. The estimated intersubject variabilities of clearance and volume of distribution were 24.7% and 25.1%, respectively. A 14-fold difference in predicted trough concentrations was observed according to only cystatin C concentrations in a population of simulated individuals with median demographic characteristics. The use of serum cystatin C as marker of vancomycin clearance for more accurate predictions of serum vancomycin concentrations could be useful, particularly among patients with normal serum creatinine concentrations. |
format | Online Article Text |
id | pubmed-3546104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | The Korean Academy of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-35461042013-01-22 Serum Cystatin C Is a Major Predictor of Vancomycin Clearance in a Population Pharmacokinetic Analysis of Patients with Normal Serum Creatinine Concentrations Chung, Jae-Yong Jin, Sung-Joon Yoon, Ji-Hyun Song, Young-Goo J Korean Med Sci Original Article We developed a population pharmacokinetic model of vancomycin by integrating the effects of cystatin C and other demographic factors in a large population of Korean patients with normal serum creatinine concentrations to elucidate the precise role of serum cystatin C concentrations in the prediction of vancomycin clearance. A population pharmacokinetic model of vancomycin was developed using NONMEM software from a total of 1,373 vancomycin concentration measurements in 678 patients whose serum creatinine concentrations were lower than 1.2 mg/dL. Covariate selection revealed that cystatin C was the most influential factor and had negative influence ((-0.78)) in the relationship. Total body weight, sex, age, and serum creatinine were also significantly correlated with the clearance. The estimated intersubject variabilities of clearance and volume of distribution were 24.7% and 25.1%, respectively. A 14-fold difference in predicted trough concentrations was observed according to only cystatin C concentrations in a population of simulated individuals with median demographic characteristics. The use of serum cystatin C as marker of vancomycin clearance for more accurate predictions of serum vancomycin concentrations could be useful, particularly among patients with normal serum creatinine concentrations. The Korean Academy of Medical Sciences 2013-01 2013-01-08 /pmc/articles/PMC3546104/ /pubmed/23341711 http://dx.doi.org/10.3346/jkms.2013.28.1.48 Text en © 2013 The Korean Academy of Medical Sciences. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Chung, Jae-Yong Jin, Sung-Joon Yoon, Ji-Hyun Song, Young-Goo Serum Cystatin C Is a Major Predictor of Vancomycin Clearance in a Population Pharmacokinetic Analysis of Patients with Normal Serum Creatinine Concentrations |
title | Serum Cystatin C Is a Major Predictor of Vancomycin Clearance in a Population Pharmacokinetic Analysis of Patients with Normal Serum Creatinine Concentrations |
title_full | Serum Cystatin C Is a Major Predictor of Vancomycin Clearance in a Population Pharmacokinetic Analysis of Patients with Normal Serum Creatinine Concentrations |
title_fullStr | Serum Cystatin C Is a Major Predictor of Vancomycin Clearance in a Population Pharmacokinetic Analysis of Patients with Normal Serum Creatinine Concentrations |
title_full_unstemmed | Serum Cystatin C Is a Major Predictor of Vancomycin Clearance in a Population Pharmacokinetic Analysis of Patients with Normal Serum Creatinine Concentrations |
title_short | Serum Cystatin C Is a Major Predictor of Vancomycin Clearance in a Population Pharmacokinetic Analysis of Patients with Normal Serum Creatinine Concentrations |
title_sort | serum cystatin c is a major predictor of vancomycin clearance in a population pharmacokinetic analysis of patients with normal serum creatinine concentrations |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3546104/ https://www.ncbi.nlm.nih.gov/pubmed/23341711 http://dx.doi.org/10.3346/jkms.2013.28.1.48 |
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