ArticlePharmaceuticals (Basel, Switzerland)2024
Renal Replacement Therapy as a New Indicator of Voriconazole Clearance in a Population Pharmacokinetic Analysis of Critically Ill Patients.
Article in Pharmaceuticals (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Factors affecting voriconazole pharmacokinetic variability in critically ill patients: a systematic review.Critical care (London, England) · 2025Pooled it
- Time-varying voriconazole clearance during extracorporeal membrane oxygenation.Antimicrobial agents and chemotherapy · 2026Observational
- The impact of an ex vivo paediatric renal replacement therapy circuit on antimicrobial concentrations.The Journal of antimicrobial chemotherapy · 2026Article
- Incorporating the metabolic ratio (C-Frontiers in pharmacology · 2026Article
- Voriconazole injection use in patients receiving continuous renal replacement therapy.Frontiers in pharmacology · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
aimsThe pharmacokinetic (PK) profiles of voriconazole in intensive care unit (ICU) patients differ from that in other patients. We aimed to develop a population pharmacokinetic (PopPK) model to evaluate the effects of using extracorporeal membrane oxygenation (ECMO) and continuous renal replacement therapy (CRRT) and those of various biological covariates on the voriconazole PK profile.
methodsModeling analyses of the PK parameters were conducted using the nonlinear mixed-effects modeling method (NONMEM) with a two-compartment model. Monte Carlo simulations (MCSs) were performed to observe the probability of target attainment (PTA) when receiving CRRT or not under different dosage regimens, different stratifications of quick C-reactive protein (qCRP), and different minimum inhibitory concentration (MIC) ranges.
resultsA total of 408 critically ill patients with 746 voriconazole concentration-time data points were included in this study. A two-compartment population PK model with qCRP, CRRT, creatinine clearance rate (CL
conclusionsWe found that qCRP, CRRT, CL
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Registered trials
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