Evidence map›Paper›PMID 41219680›Full record

ArticleThe AAPS journal2025

From AUC/MIC to AUCss and Cmin: Optimizing Micafungin Therapy in the Critically Ill through Model-Informed Precision Dosing.

Racym Berrah, Franck Saint-Marcoux, Caroline Monchaud, Olivier Cointault, Matthieu Conseil, Samir Jaber, Boris Jung, Jean Baptiste Woillard

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in The AAPS journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02164890 (Pharmacokinetics of Micafungin in Patients of Intensive Care Units), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

NCT02164890 phase4completednot on this map

Pharmacokinetics of Micafungin in Patients of Intensive Care Units

TypeinterventionalSponsorUniversity Hospital, LimogesRan2014 to 2016Enrolled60ConditionsInvasive CandidiasisArmsmicafungin
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Racym BerrahPharmacology & Transplantation, Limoges University, Inserm U1248, 2 Rue du Pr Descottes, F-87000, Limoges, France.ORCID 0009-0001-6432-2880
Franck Saint-MarcouxPharmacology & Transplantation, Limoges University, Inserm U1248, 2 Rue du Pr Descottes, F-87000, Limoges, France.ORCID 0000-0002-9752-7313
Caroline MonchaudPharmacology & Transplantation, Limoges University, Inserm U1248, 2 Rue du Pr Descottes, F-87000, Limoges, France.ORCID 0000-0002-9637-5813
Olivier CointaultDepartment of Nephrology and Organ Transplantation, University Hospital of Toulouse, 1, Avenue Jean Poulhes, 31059, Toulouse Cedex, France.ORCID 0000-0001-5819-9508
Matthieu ConseilService d'Anesthésie-Réanimation Saint Eloi, Centre Hospitalier Universitaire de Montpellier, Montpellier Université, INSERM U1046 PhyMeDex Montpellier 34295, Montpellier, France.
Samir JaberService d'Anesthésie-Réanimation Saint Eloi, Centre Hospitalier Universitaire de Montpellier, Montpellier Université, INSERM U1046 PhyMeDex Montpellier 34295, Montpellier, France.ORCID 0000-0002-7257-8069
Boris JungMedical Lntensive Care Unit, Lapeyronie Teaching Hospital University of Montpellier, INSERM U1046 PhyMeDex Montpellier 34295, Montpellie, France.ORCID 0000-0003-2522-1531
Jean Baptiste WoillardPharmacology & Transplantation, Limoges University, Inserm U1248, 2 Rue du Pr Descottes, F-87000, Limoges, France. jean-baptiste.woillard@unilim.fr.ORCID 0000-0003-1695-0695

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Micafungin is an important echinocandin for invasive fungal infections, but its pharmacokinetics (PK) in critically ill patients is highly variable. This study aimed to characterize micafungin population PK in intensive care unit (ICU) patients, identify clinical covariates influencing exposure, and evaluate practical PK/pharmacodynamic (PD) indices, steady-state area under the curve (AUCss) and trough concentration (Cmin), as alternatives to the traditional AUC/minimum inhibitory concentration (MIC) ratio for therapeutic drug monitoring (TDM). Sixty critically ill adults received 100 mg/day intravenous micafungin, with rich PK sampling on Days 0, 4, and 14. Data were analyzed using a two-compartment model with first-order elimination in Monolix, and covariates were identified via forward-backward stepwise selection. The typical clearance was 1.56 L/h with high interindividual variability (coefficient of variation 59.9%), and total bilirubin was a significant predictor of clearance. Among 30 evaluable patients, the AUC/MIC ratio was a poor predictor of microbiological eradication (receiver operating characteristic [ROC] AUC = 0.579), whereas AUCss (ROC AUC = 0.656) and Cmin (ROC AUC = 0.641) demonstrated better performance. Time-to-event analysis showed that achieving AUCss > 90.15 mg·h/L (p = 0.045) or Cmin > 1.22 mg/L (p = 0.036) was significantly associated with faster eradication. In this heterogeneous ICU cohort, AUCss and Cmin were associated with microbiological outcomes and may offer pragmatic, MIC-independent monitoring metrics. These exploratory findings warrant prospective validation but incorporating simplified, exposure-guided dosing strategies may improve micafungin optimization and clinical outcomes in critically ill populations.

Indexed as

Antifungal AgentsMicafunginAdultAgedArea Under CurveCritical IllnessDrug MonitoringFemaleHumansIntensive Care UnitsMaleMicrobial Sensitivity TestsMiddle AgedModels, BiologicalPrecision MedicineAntifungal AgentsMicafunginmicafunginpharmacodynamicspharmacokineticspopulation pharmacokineticstherapeutic drug monitoring

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Registered trials

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.