Evidence map›Paper›PMID 40271064›Full record

ArticleFrontiers in pharmacology2025

Population pharmacokinetics and dose optimization of voriconazole in patients with COVID-19-associated pulmonary aspergillosis.

Hui Wang, Yue Shen, Xuemei Luo, Lu Jin, Huaijun Zhu, Jing Wang

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Hui Wang *Department of Infection Management, Nanjing Drum Tower Hospital, Nanjing, Jiangsu, China.
Yue Shen *Department of Pharmacy, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Xuemei LuoDepartment of Pharmacy, Nanjing Drum Tower Hospital, Nanjing, Jiangsu, China.
Lu JinDepartment of Pharmacy, Nanjing Drum Tower Hospital, Nanjing, Jiangsu, China.
Huaijun ZhuDepartment of Pharmacy, Nanjing Drum Tower Hospital, Nanjing, Jiangsu, China.
Jing WangDepartment of Pharmacy, Nanjing Drum Tower Hospital, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The study aimed to investigate the pharmacokinetic profile of voriconazole in patients with COVID-19-associated pulmonary aspergillosis (CAPA) to optimize dosing strategies. Methods: Population pharmacokinetic modeling was conducted using clinical data from CAPA patients to analyze voriconazole's pharmacokinetic behavior. A one-compartment model with first-order elimination was employed to characterize voriconazole disposition. Covariate analysis was further utilized to evaluate the impact of continuous renal replacement therapy (CRRT) and select biochemical markers on voriconazole clearance. Results: The model estimated voriconazole's apparent clearance (CL/F) at 3.17 L/h and apparent volume of distribution (V/F) at 135 L for a standard patient with CAPA. Covariates such as CRRT, C-reactive protein, gamma-glutamyl transpeptidase, aspartate aminotransferase, and platelet count were found to significantly influence voriconazole clearance. Monte Carlo simulations indicated that patients on CRRT required both a higher loading dose and an increased maintenance dose compared to those not on CRRT. Conclusion: This study provides an evidence-based guide for voriconazole dosing adjustments in CAPA patients, particularly for those undergoing CRRT. The findings emphasize the importance of individualized dosing to improve therapeutic outcomes in this high-risk population.

Indexed as

COVID-19-associated pulmonary aspergillosisdosage optimizationMonte Carlopopulation pharmacokineticsvoriconazole

Identifiers

PMID40271064
PMCPMC12014539

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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.