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    Modeling C-reactive protein kinetic profiles for use as a clinical prediction tool in patients with Staphylococcus aureus bacteremia

    Access Status
    Fulltext not available
    Authors
    Gliddon, T.
    Salman, S.
    Robinson, James
    Manning, L.
    Date
    2015
    Type
    Journal Article
    
    Metadata
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    Citation
    Gliddon, T. and Salman, S. and Robinson, J. and Manning, L. 2015. Modeling C-reactive protein kinetic profiles for use as a clinical prediction tool in patients with Staphylococcus aureus bacteremia. BIOMARKERS IN MEDICINE. 9 (10): pp. 947-955.
    Source Title
    BIOMARKERS IN MEDICINE
    DOI
    10.2217/bmm.15.73
    ISSN
    1752-0363
    School
    School of Biomedical Sciences
    URI
    http://hdl.handle.net/20.500.11937/17708
    Collection
    • Curtin Research Publications
    Abstract

    AIM: We hypothesized that C-reactive protein (CRP) kinetics can be accurately modeled and might have clinical utility in a cohort of patients with Staphylococcus aureus bacteremia. MATERIALS & METHODS: We constructed and validated a nonlinear mixed effects model using CRP values obtained during the first week of illness. RESULTS: Hematological malignancy, prosthetic heart valves and metastatic seeding were identified as major covariates that influenced CRP kinetics. When considering the presence of metastatic infection as an 'unknown', the model could predict its presence through analysis of the observed CRP profile with an Area-under-the-Receiver-Operator-Characteristic curve of 0.81, indicating some diagnostic accuracy. CONCLUSION: We conclude that early CRP kinetics can be accurately modeled and can help identify patients with metastatic seeding in S. aureus bacteremia. Further validation is required.

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