Evidence map›Paper›PMID 28604474›Full record

Observational studyTherapeutic drug monitoring2017

Impact of CYP2C19 Genotype and Liver Function on Voriconazole Pharmacokinetics in Renal Transplant Recipients.

Zi-Wei Li, Feng-Hua Peng, Miao Yan, Wu Liang, Xiao-Lei Liu, Yan-Qin Wu, Xiao-Bin Lin, Sheng-Lan Tan, Feng Wang, Ping Xu and 4 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Therapeutic drug monitoring, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 63 citations in OpenAlex.

  1. Trial
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  13. Invasive Aspergillosis after Renal Transplantation.Journal of fungi (Basel, Switzerland) · 2023
    Review
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  15. Observational
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  18. Therapeutic drug monitoring andTranslational pediatrics · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 2 countries.

Zi-Wei Li*Department of Pharmacy, the Second Xiangya Hospital, Central South University, Changsha; †Department of Pharmacy, Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai; ‡Department of Urological Organ Transplantation, the Second Xiangya Hospital of Central South University, Changsha; §Beijing Dryas Pharma-Tech Co. Ltd, Beijing, China; and ¶Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH.
Feng-Hua Peng
Miao Yan
Wu Liang
Xiao-Lei Liu
Yan-Qin Wu
Xiao-Bin Lin
Sheng-Lan Tan
Feng Wang
Ping Xu
Ping-Fei Fang
Yi-Ping Liu
Da-Xiong Xiang
Bi-Kui Zhang
Second Xiangya Hospital of Central South University · CNCentral South University · CNUniversity of Cincinnati Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInvasive fungal infection (IFI) is one of the leading causes of early death after renal transplantation. Voriconazole (VRC) is the first-line drug of IFI. Because of the large inter- and intraindividual variability in VRC plasma concentrations and the narrow therapeutic window for treating patients with IFIs, it is crucial to study the factors which could influence pharmacokinetic variability. We performed a population pharmacokinetics (PPK) study of VRC for personalized medicine.

methodsA total of 125 trough concentrations (Cmin) from 56 patients were evaluated, retrospectively. Nonlinear mixed effect model was used to describe a PPK model that was internally validated by bootstrap method. Potential covariates included demographic characteristics, physiological and pathological data, concomitant medications, and CYP2C19 genotype.

resultsA 1-compartment model with first-order absorption and elimination was fit to characterize the VRC pharmacokinetics in renal transplant recipients (RTRs). Aspartate aminotransferase (AST) had a significant influence on clearance (CL) while CYP2C19 genotype had a major impact on the volume of distribution (V). The parameters of CL and V were 4.76 L/h and 22.47 L, respectively. The final model was V (L) = 22.47 × [1 + 2.21 × (EM = 1)] × [1 + 4.67 × (IM = 1)] × [1 + 3.30 × (PM = 1)] × exp (0.96); CL (L/h) = 4.76 × (AST/33)^(-0.23) × exp (0.14). VRC Cmin in intermediate metabolizers was significantly higher than in extensive metabolizers.

conclusionsLiver function and CYP2C19 polymorphism are major determinants of VRC pharmacokinetic variability in RTRs. Genotypes and clinical biomarkers can determine the initial scheme. Subsequently, therapeutic drug monitoring can optimize clinical efficacy and minimize toxicity. Hence, this is a feasible way to facilitate personalized medicine in RTRs. In addition, it is the first report about PPK of VRC in RTRs.

Indexed as

AdolescentAdultAntifungal AgentsCytochrome P-450 CYP2C19FemaleGenotypeHumansKidney TransplantationLiverMaleMiddle AgedPostoperative ComplicationsRetrospective StudiesTransplant RecipientsVoriconazoleYoung AdultAntifungal AgentsCYP2C19 protein, humanCytochrome P-450 CYP2C19Voriconazole

Identifiers

PMID28604474
PMCPMC5538305
OpenAlexW2621560236

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.