Literature DB >> 29393850

Voriconazole therapeutic drug monitoring: Factors associated with supratherapeutic and subtherapeutic voriconazole concentrations.

Haisheng You, Yuzhu Dong, Yamin Zou, Tao Zhang, Jin'e Lei, Limei Chen, Xue Wang, Yalin Dong, Taotao Wang.   

Abstract

OBJECTIVE: The voriconazole trough concentration (C<sub>min</sub>) varies widely, and C<sub>min</sub> outside the therapeutic range (COTR) is associated with response failure and toxicity. The objective of this study was to identify potential factors associated with COTR in patients, and specifically the population at a high risk of COTR.
MATERIALS AND METHODS: We performed a retrospective study of patients who received voriconazole from 2009 to 2016. Voriconazole C<sub>min</sub> values were analyzed with high-performance liquid chromatography, and values of < 1 mg/L and > 4 mg/L were defined as COTR. Logistic regression and the classification and regression tree (CART) were used to explore the potential factors associated with COTR.
RESULTS: In total, 134 voriconazole C<sub>min</sub> values were measured in 64 patients who met the eligibility criteria: 55 (41.0%) were subtherapeutic, and 79 (59.0%) were supertherapeutic. Logistic regression revealed that voriconazole COTR was significantly associated with age, CYP2C19 genetic status, and liver function after voriconazole treatment. CART identified the high-risk population of COTR: (1) patients' age < 47 years and with underlying liver disease, (2) patients' age > 47 years and with acute liver dysfunction after voriconazole treatment, (3) non-poor metabolizers, aged from 46 to 65 years and with normal liver function after voriconazole treatment, and (4) old (age > 65 years) patients with normal liver function and body weight < 66 kg.
CONCLUSION: Our findings suggest that age, CYP2C19 genetic status, and liver function status are strongest predictors of voriconazole COTR. Clinically, these results can be used to estimate the probability of voriconazole COTR in individual patients.
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Year:  2018        PMID: 29393850     DOI: 10.5414/CP203184

Source DB:  PubMed          Journal:  Int J Clin Pharmacol Ther        ISSN: 0946-1965            Impact factor:   1.366


  4 in total

1.  High-Resolution Melting Assay for Genotyping Variants of the CYP2C19 Enzyme and Predicting Voriconazole Effectiveness.

Authors:  L Bernal-Martínez; L Alcazar Fuoli; B Miguel-Revilla; A Carvalho; M S Cuétara Garcia; J Garcia-Rodriguez; C Cunha; E Gómez-García de la Pedrosa; A Gomez-Lopez
Journal:  Antimicrob Agents Chemother       Date:  2019-05-24       Impact factor: 5.191

2.  Applying Pharmacogenomics to Antifungal Selection and Dosing: Are We There Yet?

Authors:  Matthew A Miller; Yee Ming Lee
Journal:  Curr Fungal Infect Rep       Date:  2020-01-16

3.  Population pharmacokinetics of voriconazole and initial dosage optimization in patients with talaromycosis.

Authors:  Zhiwen Jiang; Yinyi Wei; Weie Huang; Bingkun Li; Siru Zhou; Liuwei Liao; Tiantian Li; Tianwei Liang; Xiaoshu Yu; Xiuying Li; Changjing Zhou; Cunwei Cao; TaoTao Liu
Journal:  Front Pharmacol       Date:  2022-09-26       Impact factor: 5.988

4.  A Large Sample Retrospective Study on the Distinction of Voriconazole Concentration in Asian Patients from Different Clinical Departments.

Authors:  Yichang Zhao; Chenlin Xiao; Jingjing Hou; Jiamin Wu; Yiwen Xiao; Bikui Zhang; Indy Sandaradura; Miao Yan
Journal:  Pharmaceuticals (Basel)       Date:  2021-11-29
  4 in total

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