Skip to content
DraconiticResearch
Search Sources API
201,818 studies31 sourcesUpdated 37 min ago
Peer-reviewedCC BY 4.0Frontiers in Pharmacology

Population pharmacokinetic modeling of voriconazole based on real-world data for dosing regimen optimization

  1. 1Department of Pharmacy, Quanzhou First Hospital Affiliated to Fujian Medical University

Abstract

Objectives: This study established a population pharmacokinetic model of voriconazole with the aim of adjusting the dosing regimen of voriconazole.

Methods: This was a retrospective study in which clinical data from 3,002 patients were collected from their medical records. Based on the inclusion and exclusion criteria, this study included data from 96 patients to establish a population pharmacokinetic model. Following model evaluation, a dosing adjustment regimen for voriconazole was derived using Monte Carlo simulation and validated in a clinical setting.

Results: The study used a one-compartment model to fit the data, with a exponential model selected for inter-individual variability and a mixed model selected for residual variability. The model results showed that the CL of voriconazole was 4.2 L/h and the V was 75.9 L. CL was significantly correlated with creatinine clearance (CCr), and C-reactive protein (CRP), while V was significantly correlated with whether omeprazole was used in combination. According to Monte Carlo simulation results: If the trough concentration is <0.5 mg/L, then the maintenance dose should be increased by 95%. If the trough concentration is ≥ 0.5 mg/L and <1.0 mg/L, then the maintenance dose should be increased by 65%. If the trough concentration is > 5.5 and ≤7.5 mg/L, then the maintenance dose should be decreased by 35%. If the trough concentration is > 7.5 and ≤10.0 mg/L, then the maintenance dose should be decreased by 55%. If the trough concentration is > 10.0 mg/L, then the maintenance dose should be decreased by 75%. In the clinical validation study, a total of 67 patients met the new inclusion and exclusion criteria and were included in the validation analysis. Of these 67 patients, after up to three dose adjustments based on the recommendations of the population pharmacokinetic model, 61 patients (91.04%) achieved steady-state plasma concentrations within the target range.

Conclusion: 67 patients participated in the clinical validation study. The results showed that among the 67 patients who followed the standard treatment regimen described in the package insert, 46.3% achieved the target concentration range. After applying the dose adjustment regimen derived from this study, the proportion of patients achieving the target concentration range increased to 91.04%.

Related

  1. Physiologically Based Pharmacokinetic Modeling of Venetoclax in Pediatric Acute Myeloid Leukemia: Food Effects, Age-Related Pharmacokinetics, and Voriconazole-Mediated Drug-Drug Interactions.
    Yanming Li, Mengmeng Liu, Qixian Ling +4
    PharmaceuticsPeer-reviewedCC BYFull textObstetrics, gynaecology & paediatricsEurope PMC
  2. Electronic-Nomogram-Guided Micafungin Dosing Regimen in Critically Ill Patients: A Population Pharmacokinetic Study
    Jean-Joseph Bendjilali-Sabiani, Ahlem Gammoudi, Matthieu Conseil +2
    International Journal of Antimicrobial AgentsPeer-reviewedCC BY-NC-ND 4.0Full textInfectious diseaseHAL
  3. Handling missed dose of riluzole by population pharmacokinetic model informed remedial regimen
    Changlong Liu, Qing Tang, Lingyan Yu +1
    Frontiers in pharmacologyPeer-reviewedCC BYFull textObstetrics, gynaecology & paediatricsEurope PMCCrossref
  4. Population pharmacokinetic modeling of adalimumab biosimilar SCT630 and Humira® in healthy participants and patients with moderate to severe plaque psoriasis to establish PK similarity
    Dongyang Li, Yuhuan Jiao, Kun Wu +3
    Current therapeutic research, clinical and experimentalPeer-reviewedCC BY-NCFull textGeneral medicineEurope PMC
  5. Physiologically based pharmacokinetic (PBPK) model to predict the magnitude of drug-drug interaction between vincristine and the azole antifungals isavuconazole, posaconazole, and voriconazole in children
    Mary P. Choules, Amit Desai, Laura Lynn Kovanda +3
    Antimicrobial Agents and ChemotherapyPeer-reviewedCC BY 4.0Full textPharmacology & toxicologyPMC
BibTeX
@article{jiang2026population,
  title = {{Population pharmacokinetic modeling of voriconazole based on real-world data for dosing regimen optimization}},
  author = {Li Jiang and Zhiqiang Lin},
  journal = {Frontiers in Pharmacology},
  year = {2026},
  month = oct,
  doi = {10.3389/fphar.2026.1979373},
  url = {https://www.frontiersin.org/articles/10.3389/fphar.2026.1979373/full},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Population pharmacokinetic modeling of voriconazole based on real-world data for dosing regimen optimization
AU  - Li Jiang
AU  - Zhiqiang Lin
PY  - 2026
DA  - 2026/10/19
JO  - Frontiers in Pharmacology
DO  - 10.3389/fphar.2026.1979373
UR  - https://www.frontiersin.org/articles/10.3389/fphar.2026.1979373/full
AB  - Objectives: This study established a population pharmacokinetic model of voriconazole with the aim of adjusting the dosing regimen of voriconazole.  Methods: This was a retrospective study in which clinical data from 3,002 patients were collected from their medical records. Based on the inclusion and exclusion criteria, this study included data from 96 patients to establish a population pharmacokinetic model. Following model evaluation, a dosing adjustment regimen for voriconazole was derived using Monte Carlo simulation and validated in a clinical setting.  Results: The study used a one-compartment model to fit the data, with a exponential model selected for inter-individual variability and a mixed model selected for residual variability. The model results showed that the CL of voriconazole was 4.2 L/h and the V was 75.9 L. CL was significantly correlated with creatinine clearance (CCr), and C-reactive protein (CRP), while V was significantly correlated with whether omeprazole was used in combination. According to Monte Carlo simulation results: If the trough concentration is <0.5 mg/L, then the maintenance dose should be increased by 95%. If the trough concentration is ≥ 0.5 mg/L and <1.0 mg/L, then the maintenance dose should be increased by 65%. If the trough concentration is > 5.5 and ≤7.5 mg/L, then the maintenance dose should be decreased by 35%. If the trough concentration is > 7.5 and ≤10.0 mg/L, then the maintenance dose should be decreased by 55%. If the trough concentration is > 10.0 mg/L, then the maintenance dose should be decreased by 75%. In the clinical validation study, a total of 67 patients met the new inclusion and exclusion criteria and were included in the validation analysis. Of these 67 patients, after up to three dose adjustments based on the recommendations of the population pharmacokinetic model, 61 patients (91.04%) achieved steady-state plasma concentrations within the target range.  Conclusion: 67 patients participated in the clinical validation study. The results showed that among the 67 patients who followed the standard treatment regimen described in the package insert, 46.3% achieved the target concentration range. After applying the dose adjustment regimen derived from this study, the proportion of patients achieving the target concentration range increased to 91.04%.
SN  - 1663-9812
ER  -