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Pharmacology

Data Mining Validation of Fluconazole Breakpoints Established by the European Committee on Antimicrobial Susceptibility Testing

Isabel Cuesta, Concha Bielza, Pedro Larrañaga, Manuel Cuenca-Estrella, Fernando Laguna, Dolors Rodriguez-Pardo, Benito Almirante, Albert Pahissa, Juan L. Rodríguez-Tudela
Isabel Cuesta
1Servicio de Micologia, Centro Nacional de Microbiologia, Instituto de Salud Carlos III, Majadahonda, Madrid
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Concha Bielza
2 Departamento de Inteligencia Artificial, Facultad de Informática, Universidad Politécnica, Madrid
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Pedro Larrañaga
2 Departamento de Inteligencia Artificial, Facultad de Informática, Universidad Politécnica, Madrid
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Manuel Cuenca-Estrella
1Servicio de Micologia, Centro Nacional de Microbiologia, Instituto de Salud Carlos III, Majadahonda, Madrid
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Fernando Laguna
3 Servicio de Medicina Interna, Hospital Carlos III, Madrid
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Dolors Rodriguez-Pardo
4Servicio de Enfermedades Infecciosas, Hospital Universitario Valle de Hebrón, Barcelona, Spain
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Benito Almirante
4Servicio de Enfermedades Infecciosas, Hospital Universitario Valle de Hebrón, Barcelona, Spain
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Albert Pahissa
4Servicio de Enfermedades Infecciosas, Hospital Universitario Valle de Hebrón, Barcelona, Spain
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Juan L. Rodríguez-Tudela
1Servicio de Micologia, Centro Nacional de Microbiologia, Instituto de Salud Carlos III, Majadahonda, Madrid
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  • For correspondence: jlrtudela@isciii.es
DOI: 10.1128/AAC.00081-09
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    FIG. 1.

    (A) CART showing values for dose/MIC versus outcome for patients with OPC; (B) CART for both datasets (OPC and candidemia).

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  • TABLE 1.

    Sensitivity, specificity, false-positive rate, area under the ROC curve, and MCC for MIC values as a predictor of failure

    Disease(s)ClassifierMIC for failures (mg/liter)Sensitivity (%)Specificity (%)False-positive rate (%)Area under ROC curveMCC
    OPCJ48>29772280.810.74
    CART>49683170.890.81
    OneR>49772280.840.74
    Naïve Bayes>29974260.940.79
    Simple Logistic>49577230.950.75
    CandidemiaJ48NCa
    CART>4319640.630.31
    OneRNC
    Naïve Bayes>2319640.480.31
    Simple LogisticNC
    AllJ48>4879280.860.80
    CART>4879280.890.80
    OneR>4879280.890.80
    Naïve Bayes>29187130.910.77
    Simple Logistic>29187130.910.77
    • ↵ a NC, not calculated (the classifier did not find a value for splitting the populations of successes and failures).

  • TABLE 2.

    Sensitivity, specificity, false-positive rate, area under the ROC curve, and MCC for dose/MIC values as a predictor of treatment success

    Disease(s)ClassifierDose/MIC for successSensitivity (%)Specificity (%)False-positive rate (%)Area under ROC curveMCC
    OPCJ48>50.0a9372280.950.68
    CART>75.0a8410000.980.80
    OneR>37.59781190.890.81
    Naïve Bayes>41.79781190.850.81
    Simple Logistic>38.89872280.970.76
    CandidemiaJ48NCb
    CART>75.0319640.630.34
    OneRNC
    Naïve Bayes>1,578.0010000.560.0
    Simple LogisticNC
    AllJ48>50.08790100.870.77
    CART>75.09190100.900.80
    OneR>37.5869370.900.80
    Naïve Bayes>674.09159410.860.50
    Simple LogisticNC
    • ↵ a The J48 and CART classifiers produced complex trees for dose/MIC versus outcome (Fig. 1). The initial values splitting the tree for successes and failures were 12.5 and 18.75, respectively. Therefore, the table shows the dose/MIC values predicting the absence of failures.

    • ↵ b NC, not calculated (the classifier did not find a value for splitting the populations of successes and failures).

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Data Mining Validation of Fluconazole Breakpoints Established by the European Committee on Antimicrobial Susceptibility Testing
Isabel Cuesta, Concha Bielza, Pedro Larrañaga, Manuel Cuenca-Estrella, Fernando Laguna, Dolors Rodriguez-Pardo, Benito Almirante, Albert Pahissa, Juan L. Rodríguez-Tudela
Antimicrobial Agents and Chemotherapy Jun 2009, 53 (7) 2949-2954; DOI: 10.1128/AAC.00081-09

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Data Mining Validation of Fluconazole Breakpoints Established by the European Committee on Antimicrobial Susceptibility Testing
Isabel Cuesta, Concha Bielza, Pedro Larrañaga, Manuel Cuenca-Estrella, Fernando Laguna, Dolors Rodriguez-Pardo, Benito Almirante, Albert Pahissa, Juan L. Rodríguez-Tudela
Antimicrobial Agents and Chemotherapy Jun 2009, 53 (7) 2949-2954; DOI: 10.1128/AAC.00081-09
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KEYWORDS

antifungal agents
candidiasis
computational biology
fluconazole

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