Susceptibility testing of pathogenic fungi with itraconazole: a process analysis of test variables

B. Rambali, L. Van Nuffel, F. Woestenborghs, L. Baert, D. L. Massart, Frank Christopher Odds, J. A. Fernandez

    Research output: Contribution to journalArticle

    28 Citations (Scopus)

    Abstract

    A 2(10-5) fractional factorial model was used to investigate the influence of 10 process variables in broth microdilution susceptibility tests with itraconazole against eight isolates of Candida species and six isolates of filamentous fungi in two growth media. An analysis of variance (ANOVA) indicated that glucose concentration and incubation time both significantly influenced control turbidity optical density (OD) values for most of the Candida spp. isolates, while incubation in > 10% CO2 versus ambient air, incubation temperature and inoculum size significantly influenced these OD values for about half of the yeast isolates. Control OD values for the mould isolates were most influenced by incubation time and temperature, and by occlusion of the wells with an adhesive sticker. Three statistical approaches, ANOVA, rank transformation and Mann-Whitney U-test, were used to assess the influence of the variable combinations on MIC, determined with a 50% growth reduction end-point. Incubation temperature and time, glucose concentration and inoculum size were the variables that most often affected susceptibility results to the level of statistical significance; however, the supplier of RPMI 1640 medium, the use of adhesive stickers and the atmosphere of incubation significantly influenced the MIC for some isolates. The medium used to prepare the test inoculum, the solvent used to prepare the stock solution and the shape of the microdilution plate wells significantly affected outcome, but only sporadically. A principal component analysis of the data matrix confirmed this order of relative influence of the test variables on the MIC. Since each fungal isolate responded differently to combinations of process variables in the test, we conclude that any unified method for antifungal susceptibility determination represents a compromise, rather than an idealized system.

    Original languageEnglish
    Pages (from-to)163-177
    Number of pages14
    JournalJournal of Antimicrobial Chemotherapy
    Volume48
    Issue number2
    DOIs
    Publication statusPublished - 2001

    Keywords

    • BROTH MICRODILUTION METHODS
    • LABORATORY STANDARDS METHOD
    • 5 ANTIFUNGAL AGENTS
    • IN-VITRO
    • CANDIDA-ALBICANS
    • NATIONAL COMMITTEE
    • FLUCONAZOLE SUSCEPTIBILITY
    • CRYPTOCOCCUS-NEOFORMANS
    • CLINICAL RELEVANCE
    • AMPHOTERICIN-B

    Cite this

    Rambali, B., Van Nuffel, L., Woestenborghs, F., Baert, L., Massart, D. L., Odds, F. C., & Fernandez, J. A. (2001). Susceptibility testing of pathogenic fungi with itraconazole: a process analysis of test variables. Journal of Antimicrobial Chemotherapy, 48(2), 163-177. https://doi.org/10.1093/jac/48.2.163

    Susceptibility testing of pathogenic fungi with itraconazole: a process analysis of test variables. / Rambali, B.; Van Nuffel, L.; Woestenborghs, F.; Baert, L.; Massart, D. L.; Odds, Frank Christopher; Fernandez, J. A.

    In: Journal of Antimicrobial Chemotherapy, Vol. 48, No. 2, 2001, p. 163-177.

    Research output: Contribution to journalArticle

    Rambali, B, Van Nuffel, L, Woestenborghs, F, Baert, L, Massart, DL, Odds, FC & Fernandez, JA 2001, 'Susceptibility testing of pathogenic fungi with itraconazole: a process analysis of test variables', Journal of Antimicrobial Chemotherapy, vol. 48, no. 2, pp. 163-177. https://doi.org/10.1093/jac/48.2.163
    Rambali, B. ; Van Nuffel, L. ; Woestenborghs, F. ; Baert, L. ; Massart, D. L. ; Odds, Frank Christopher ; Fernandez, J. A. / Susceptibility testing of pathogenic fungi with itraconazole: a process analysis of test variables. In: Journal of Antimicrobial Chemotherapy. 2001 ; Vol. 48, No. 2. pp. 163-177.
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    abstract = "A 2(10-5) fractional factorial model was used to investigate the influence of 10 process variables in broth microdilution susceptibility tests with itraconazole against eight isolates of Candida species and six isolates of filamentous fungi in two growth media. An analysis of variance (ANOVA) indicated that glucose concentration and incubation time both significantly influenced control turbidity optical density (OD) values for most of the Candida spp. isolates, while incubation in > 10{\%} CO2 versus ambient air, incubation temperature and inoculum size significantly influenced these OD values for about half of the yeast isolates. Control OD values for the mould isolates were most influenced by incubation time and temperature, and by occlusion of the wells with an adhesive sticker. Three statistical approaches, ANOVA, rank transformation and Mann-Whitney U-test, were used to assess the influence of the variable combinations on MIC, determined with a 50{\%} growth reduction end-point. Incubation temperature and time, glucose concentration and inoculum size were the variables that most often affected susceptibility results to the level of statistical significance; however, the supplier of RPMI 1640 medium, the use of adhesive stickers and the atmosphere of incubation significantly influenced the MIC for some isolates. The medium used to prepare the test inoculum, the solvent used to prepare the stock solution and the shape of the microdilution plate wells significantly affected outcome, but only sporadically. A principal component analysis of the data matrix confirmed this order of relative influence of the test variables on the MIC. Since each fungal isolate responded differently to combinations of process variables in the test, we conclude that any unified method for antifungal susceptibility determination represents a compromise, rather than an idealized system.",
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    AU - Woestenborghs, F.

    AU - Baert, L.

    AU - Massart, D. L.

    AU - Odds, Frank Christopher

    AU - Fernandez, J. A.

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    N2 - A 2(10-5) fractional factorial model was used to investigate the influence of 10 process variables in broth microdilution susceptibility tests with itraconazole against eight isolates of Candida species and six isolates of filamentous fungi in two growth media. An analysis of variance (ANOVA) indicated that glucose concentration and incubation time both significantly influenced control turbidity optical density (OD) values for most of the Candida spp. isolates, while incubation in > 10% CO2 versus ambient air, incubation temperature and inoculum size significantly influenced these OD values for about half of the yeast isolates. Control OD values for the mould isolates were most influenced by incubation time and temperature, and by occlusion of the wells with an adhesive sticker. Three statistical approaches, ANOVA, rank transformation and Mann-Whitney U-test, were used to assess the influence of the variable combinations on MIC, determined with a 50% growth reduction end-point. Incubation temperature and time, glucose concentration and inoculum size were the variables that most often affected susceptibility results to the level of statistical significance; however, the supplier of RPMI 1640 medium, the use of adhesive stickers and the atmosphere of incubation significantly influenced the MIC for some isolates. The medium used to prepare the test inoculum, the solvent used to prepare the stock solution and the shape of the microdilution plate wells significantly affected outcome, but only sporadically. A principal component analysis of the data matrix confirmed this order of relative influence of the test variables on the MIC. Since each fungal isolate responded differently to combinations of process variables in the test, we conclude that any unified method for antifungal susceptibility determination represents a compromise, rather than an idealized system.

    AB - A 2(10-5) fractional factorial model was used to investigate the influence of 10 process variables in broth microdilution susceptibility tests with itraconazole against eight isolates of Candida species and six isolates of filamentous fungi in two growth media. An analysis of variance (ANOVA) indicated that glucose concentration and incubation time both significantly influenced control turbidity optical density (OD) values for most of the Candida spp. isolates, while incubation in > 10% CO2 versus ambient air, incubation temperature and inoculum size significantly influenced these OD values for about half of the yeast isolates. Control OD values for the mould isolates were most influenced by incubation time and temperature, and by occlusion of the wells with an adhesive sticker. Three statistical approaches, ANOVA, rank transformation and Mann-Whitney U-test, were used to assess the influence of the variable combinations on MIC, determined with a 50% growth reduction end-point. Incubation temperature and time, glucose concentration and inoculum size were the variables that most often affected susceptibility results to the level of statistical significance; however, the supplier of RPMI 1640 medium, the use of adhesive stickers and the atmosphere of incubation significantly influenced the MIC for some isolates. The medium used to prepare the test inoculum, the solvent used to prepare the stock solution and the shape of the microdilution plate wells significantly affected outcome, but only sporadically. A principal component analysis of the data matrix confirmed this order of relative influence of the test variables on the MIC. Since each fungal isolate responded differently to combinations of process variables in the test, we conclude that any unified method for antifungal susceptibility determination represents a compromise, rather than an idealized system.

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    KW - NATIONAL COMMITTEE

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    KW - CRYPTOCOCCUS-NEOFORMANS

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