{
  "abstract": "Objectives To develop a population pharmacokinetic model for micafungin and an electronic nomogram to support the selection of the optimal initial dosing regimen. Methods A retrospective, monocentric pharmacokinetic study was conducted in a digestive intensive care unit. Population pharmacokinetic modelling and covariate analysis were performed using Monolix.2024R1. Monte Carlo simulations were subsequently used to build the e-nomogram. Results Overall, 404 micafungin plasma concentrations obtained from 100 patients were analysed, including 40% with cirrhosis and/or a history of liver transplantation. The concentration-time data were adequately described by a linear one-compartment model. The estimated PK parameters (between-subject variability) were 17.3 L (15%) for volume of distribution and 0.85 L/h (25%) for clearance (Cl). Total body weight and total bilirubin were identified to influence volume of distribution and/or Cl. External model evaluation showed acceptable predictive performance for both population and individual predictions. Monte Carlo simulations suggested that the currently recommended regimen of 100 mg/d may be insufficient to achieve the pharmacokinetic/pharmacodynamic target for all Candida species when clinical breakpoint MIC values are considered. Conclusion The resulting RShiny application provides clinicians with a practical decision support tool for selecting the best loading and maintenance doses according to total body weight, BILI and the target pathogen, thereby maximising the probability of pharmacokinetic/pharmacodynamic target attainment.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "name": "Jean-Joseph Bendjilali-Sabiani"
    },
    {
      "name": "Ahlem Gammoudi"
    },
    {
      "name": "Matthieu Conseil"
    },
    {
      "name": "Samir Jaber"
    },
    {
      "name": "Yoann Cazaubon"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/8t8ykv9e0cwfc.bib",
  "cited_by": 0,
  "doi": "10.1016/j.ijantimicag.2026.107970",
  "fulltext_url": null,
  "id": "8t8ykv9e0cwfc",
  "issns": [
    "0924-8579",
    "1872-7913"
  ],
  "landing_url": "https://hal.science/hal-05719578v1",
  "language": "en",
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.sdv"
    ],
    [
      "openalex",
      "2725|Antifungal resistance and susceptibility"
    ]
  ],
  "openalex": "W7203648332",
  "pdf_url": "https://hal.science/hal-05719578/document",
  "pmcid": null,
  "pmid": "42607967",
  "published": "2026-08-17",
  "publisher": "Elsevier",
  "ris": "https://research.draconitic.com/paper/8t8ykv9e0cwfc.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:50Z",
      "native_id": "hal-05719578",
      "source": "hal",
      "url": "https://hal.science/hal-05719578v1"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2725|Antifungal resistance and susceptibility",
      "subfield": "infectious-disease"
    }
  ],
  "title": "Electronic-Nomogram-Guided Micafungin Dosing Regimen in Critically Ill Patients: A Population Pharmacokinetic Study",
  "title_text": "Electronic-Nomogram-Guided Micafungin Dosing Regimen in Critically Ill Patients: A Population Pharmacokinetic Study",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:50Z",
  "url": "https://research.draconitic.com/paper/8t8ykv9e0cwfc",
  "venue": "International Journal of Antimicrobial Agents",
  "versions": []
}