Articles producció científica> Ciències Mèdiques Bàsiques

Multicenter study of anidulafungin and micafungin MIC distributions and epidemiological cutoff values for eight candida species and the CLSI M27-A3 broth microdilution method

  • Identification data

    Identifier: imarina:5127670
    Authors:
    Pfaller MEspinel-Ingroff ABustamante BCanton EDiekema DFothergill AFuller JGonzalez GGuarro JLass-Flörl CLockhart SMartin-Mazuelos EMeis JOstrosky-Zeichner LPelaez TSt-Germain GTurnidge J
    Abstract:
    Since epidemiological cutoff values (ECVs) using CLSI MICs from multiple laboratories are not available for Candida spp. and the echinocandins, we established ECVs for anidulafungin and micafungin on the basis of wild-type (WT) MIC distributions (for organisms in a species-drug combination with no detectable acquired resistance mechanisms) for 8,210 Candida albicans, 3,102 C. glabrata, 3,976 C. parapsilosis, 2,042 C. tropicalis, 617 C. krusei, 258 C. lusitaniae, 234 C. guilliermondii, and 131 C. dubliniensis isolates. CLSI broth microdilution MIC data gathered from 15 different laboratories in Canada, Europe, Mexico, Peru, and the United States were aggregated to statistically define ECVs. ECVs encompassing 97.5% of the statistically modeled population for anidulafungin and micafungin were, respectively, 0.12 and 0.03 μg/ml for C. albicans, 0.12 and 0.03 μg/ml for C. glabrata, 8 and 4 μg/ml for C. parapsilosis, 0.12 and 0.06 μg/ml for C. tropicalis, 0.25 and 0.25 μg/ml for C. krusei, 1 and 0.5 μg/ml for C. lusitaniae, 8 and 2 μg/ml for C. guilliermondii, and 0.12 and 0.12 μg/ml for C. dubliniensis. Previously reported single and multicenter ECVs defined in the present study were quite similar or within 1 2-fold dilution of each other. For a collection of 230 WT isolates (no fks mutations) and 51 isolates with fks mutations, the species-specific ECVs for anidulafungin and micafungin correctly classified 47 (92.2%) and 51 (100%) of the fks mutants, respectively, as non-WT strains. These ECVs may aid in detecting non-WT isolates with reduced susceptibility to anidulafungin and micafungin due to fks mutations.
  • Others:

    Author, as appears in the article.: Pfaller M; Espinel-Ingroff A; Bustamante B; Canton E; Diekema D; Fothergill A; Fuller J; Gonzalez G; Guarro J; Lass-Flörl C; Lockhart S; Martin-Mazuelos E; Meis J; Ostrosky-Zeichner L; Pelaez T; St-Germain G; Turnidge J
    Department: Ciències Mèdiques Bàsiques
    URV's Author/s: Guarro Artigas, Josep
    Keywords: Surveillance Statistical-methods Spp. Population Management Escmid-asterisk guideline Echinocandins Caspofungin Breakpoints Aspergillus
    Abstract: Since epidemiological cutoff values (ECVs) using CLSI MICs from multiple laboratories are not available for Candida spp. and the echinocandins, we established ECVs for anidulafungin and micafungin on the basis of wild-type (WT) MIC distributions (for organisms in a species-drug combination with no detectable acquired resistance mechanisms) for 8,210 Candida albicans, 3,102 C. glabrata, 3,976 C. parapsilosis, 2,042 C. tropicalis, 617 C. krusei, 258 C. lusitaniae, 234 C. guilliermondii, and 131 C. dubliniensis isolates. CLSI broth microdilution MIC data gathered from 15 different laboratories in Canada, Europe, Mexico, Peru, and the United States were aggregated to statistically define ECVs. ECVs encompassing 97.5% of the statistically modeled population for anidulafungin and micafungin were, respectively, 0.12 and 0.03 μg/ml for C. albicans, 0.12 and 0.03 μg/ml for C. glabrata, 8 and 4 μg/ml for C. parapsilosis, 0.12 and 0.06 μg/ml for C. tropicalis, 0.25 and 0.25 μg/ml for C. krusei, 1 and 0.5 μg/ml for C. lusitaniae, 8 and 2 μg/ml for C. guilliermondii, and 0.12 and 0.12 μg/ml for C. dubliniensis. Previously reported single and multicenter ECVs defined in the present study were quite similar or within 1 2-fold dilution of each other. For a collection of 230 WT isolates (no fks mutations) and 51 isolates with fks mutations, the species-specific ECVs for anidulafungin and micafungin correctly classified 47 (92.2%) and 51 (100%) of the fks mutants, respectively, as non-WT strains. These ECVs may aid in detecting non-WT isolates with reduced susceptibility to anidulafungin and micafungin due to fks mutations.
    Thematic Areas: Saúde coletiva Química Pharmacology (medical) Pharmacology & pharmacy Pharmacology Odontología Nutrição Microbiology Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Interdisciplinar Infectious diseases Farmacia Ensino Engenharias iv Engenharias iii Engenharias ii Enfermagem Educação física Educação Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências agrárias i Ciência de alimentos Biotecnología Biodiversidade Astronomia / física
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: josep.guarro@urv.cat
    Author identifier: 0000-0002-7839-7568
    Record's date: 2024-07-20
    Papper version: info:eu-repo/semantics/publishedVersion
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Antimicrobial Agents And Chemotherapy. 58 (2): 916-922
    APA: Pfaller M; Espinel-Ingroff A; Bustamante B; Canton E; Diekema D; Fothergill A; Fuller J; Gonzalez G; Guarro J; Lass-Flörl C; Lockhart S; Martin-Mazuel (2014). Multicenter study of anidulafungin and micafungin MIC distributions and epidemiological cutoff values for eight candida species and the CLSI M27-A3 broth microdilution method. Antimicrobial Agents And Chemotherapy, 58(2), 916-922. DOI: 10.1128/AAC.02020-13
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2014
    Publication Type: Journal Publications
  • Keywords:

    Infectious Diseases,Microbiology,Pharmacology,Pharmacology & Pharmacy,Pharmacology (Medical)
    Surveillance
    Statistical-methods
    Spp.
    Population
    Management
    Escmid-asterisk guideline
    Echinocandins
    Caspofungin
    Breakpoints
    Aspergillus
    Saúde coletiva
    Química
    Pharmacology (medical)
    Pharmacology & pharmacy
    Pharmacology
    Odontología
    Nutrição
    Microbiology
    Medicina veterinaria
    Medicina iii
    Medicina ii
    Medicina i
    Materiais
    Matemática / probabilidade e estatística
    Interdisciplinar
    Infectious diseases
    Farmacia
    Ensino
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Enfermagem
    Educação física
    Educação
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências agrárias i
    Ciência de alimentos
    Biotecnología
    Biodiversidade
    Astronomia / física
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