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1566. Population Pharmacokinetics of Voriconazole: Serum Albumin Status as a Novel Marker of Clearance and Dosage Optimization
BACKGROUND: Voriconazole (VRCZ) is a first-line agent for the treatment of invasive aspergillosis. In this study, we report the first study on population pharmacokinetics (PPK) of VRCZ in Thai patients. METHODS: A PPK study was performed by combining blood VRCZ data from intensive pharmacokinetic (P...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6809812/ http://dx.doi.org/10.1093/ofid/ofz360.1430 |
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author | Chantharit, Prawat Tantasawat, Montira Kasai, Hidefumi Tanigawara, Yusuke |
author_facet | Chantharit, Prawat Tantasawat, Montira Kasai, Hidefumi Tanigawara, Yusuke |
author_sort | Chantharit, Prawat |
collection | PubMed |
description | BACKGROUND: Voriconazole (VRCZ) is a first-line agent for the treatment of invasive aspergillosis. In this study, we report the first study on population pharmacokinetics (PPK) of VRCZ in Thai patients. METHODS: A PPK study was performed by combining blood VRCZ data from intensive pharmacokinetic (PK) sampling and trough concentration. A non-linear mixed-effect model with FOCE ELS optimization by Phoenix NLME was used. Validity of the model was confirmed by bootstrap, visual predictive check (VPC) and goodness-of-fit (GOF) plot. Recommended dosage regimens based on albumin level of patient were simulated. RESULTS: One hundred and six patients using oral VRCZ were included. Eighty-eight patients had the phenotype results which were 43, 37, and 8 of extensive metabolizer (EM), intermediate metabolizer (IM) and poor metabolizer (PM), respectively. The linear one-compartment model with first-order absorption and elimination by fixing Ka value at 1.0 well described the data. CYP2C19 phenotypes did not influence any PK parameter during the covariate model building, then all 106 patients were included in the model construction. The final model was V (Liter) = θ (V) × (Actual body weight/55) (θ1) × exp (η (V)), CL (L/hr) = θ (CL) × (albumin/28) (θ2) × (logGGT/2.4)(θ3) × exp (η (CL)), Table 1. Estimated clearance (CL) and volume of distribution (V) values were 7.33 L hour(−1)and 439.69 L, respectively. VPC (Figure 1) and 96% of 1000 succeeded bootstrap results (Table1) showed a good consistency to the observed data. Serum albumin had more impact correlation across all patients with CL, R(2) = 0.18, P ≤ 0.001. Patient with serum albumin 30 g/L had CL lower than patient having serum albumin > 30 g/L, P = 0.0007, irrespective of PM status because of there were all phenotypes which distributed across two groups; %EM: %IM: %PM for 55: 38.3: 6.6 and 48:36:16, respectively. Dosing simulation (Table 2) found that patient having albumin 30 g/L required a lower daily maintenance dose to achieve any trough level. CONCLUSION: Serum albumin is a novel marker influencing VRCZ CL. Therapeutic drug monitoring with this dosing regimen could be another practical option for more specialized patient condition. [Image: see text] [Image: see text] [Image: see text] DISCLOSURES: All authors: No reported disclosures. |
format | Online Article Text |
id | pubmed-6809812 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68098122019-10-28 1566. Population Pharmacokinetics of Voriconazole: Serum Albumin Status as a Novel Marker of Clearance and Dosage Optimization Chantharit, Prawat Tantasawat, Montira Kasai, Hidefumi Tanigawara, Yusuke Open Forum Infect Dis Abstracts BACKGROUND: Voriconazole (VRCZ) is a first-line agent for the treatment of invasive aspergillosis. In this study, we report the first study on population pharmacokinetics (PPK) of VRCZ in Thai patients. METHODS: A PPK study was performed by combining blood VRCZ data from intensive pharmacokinetic (PK) sampling and trough concentration. A non-linear mixed-effect model with FOCE ELS optimization by Phoenix NLME was used. Validity of the model was confirmed by bootstrap, visual predictive check (VPC) and goodness-of-fit (GOF) plot. Recommended dosage regimens based on albumin level of patient were simulated. RESULTS: One hundred and six patients using oral VRCZ were included. Eighty-eight patients had the phenotype results which were 43, 37, and 8 of extensive metabolizer (EM), intermediate metabolizer (IM) and poor metabolizer (PM), respectively. The linear one-compartment model with first-order absorption and elimination by fixing Ka value at 1.0 well described the data. CYP2C19 phenotypes did not influence any PK parameter during the covariate model building, then all 106 patients were included in the model construction. The final model was V (Liter) = θ (V) × (Actual body weight/55) (θ1) × exp (η (V)), CL (L/hr) = θ (CL) × (albumin/28) (θ2) × (logGGT/2.4)(θ3) × exp (η (CL)), Table 1. Estimated clearance (CL) and volume of distribution (V) values were 7.33 L hour(−1)and 439.69 L, respectively. VPC (Figure 1) and 96% of 1000 succeeded bootstrap results (Table1) showed a good consistency to the observed data. Serum albumin had more impact correlation across all patients with CL, R(2) = 0.18, P ≤ 0.001. Patient with serum albumin 30 g/L had CL lower than patient having serum albumin > 30 g/L, P = 0.0007, irrespective of PM status because of there were all phenotypes which distributed across two groups; %EM: %IM: %PM for 55: 38.3: 6.6 and 48:36:16, respectively. Dosing simulation (Table 2) found that patient having albumin 30 g/L required a lower daily maintenance dose to achieve any trough level. CONCLUSION: Serum albumin is a novel marker influencing VRCZ CL. Therapeutic drug monitoring with this dosing regimen could be another practical option for more specialized patient condition. [Image: see text] [Image: see text] [Image: see text] DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6809812/ http://dx.doi.org/10.1093/ofid/ofz360.1430 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Abstracts Chantharit, Prawat Tantasawat, Montira Kasai, Hidefumi Tanigawara, Yusuke 1566. Population Pharmacokinetics of Voriconazole: Serum Albumin Status as a Novel Marker of Clearance and Dosage Optimization |
title | 1566. Population Pharmacokinetics of Voriconazole: Serum Albumin Status as a Novel Marker of Clearance and Dosage Optimization |
title_full | 1566. Population Pharmacokinetics of Voriconazole: Serum Albumin Status as a Novel Marker of Clearance and Dosage Optimization |
title_fullStr | 1566. Population Pharmacokinetics of Voriconazole: Serum Albumin Status as a Novel Marker of Clearance and Dosage Optimization |
title_full_unstemmed | 1566. Population Pharmacokinetics of Voriconazole: Serum Albumin Status as a Novel Marker of Clearance and Dosage Optimization |
title_short | 1566. Population Pharmacokinetics of Voriconazole: Serum Albumin Status as a Novel Marker of Clearance and Dosage Optimization |
title_sort | 1566. population pharmacokinetics of voriconazole: serum albumin status as a novel marker of clearance and dosage optimization |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6809812/ http://dx.doi.org/10.1093/ofid/ofz360.1430 |
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