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  • Infection Probability Score shows 59.4% specificity and 74.3% sensitivity for predicting infection in haematology–oncology patients

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Infection control
Cross sectional study
Infection Probability Score shows 59.4% specificity and 74.3% sensitivity for predicting infection in haematology–oncology patients
  1. Gonzalo Bearman
  1. Virginia Commonwealth University Medical Center
  1. Correspondence to Gonzalo Bearman
    PO Box 980019, Richmond, VA 23298-0019, USA; gbearman{at}mcvh-vcu.edu

https://doi.org/10.1136/ebn1125

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    Commentary on: Apostolopolou E, Raftopoulos V, Terzis K, et al. Infection probability score, APACHE II and KARNOFSKY scoring systems as predictors of infection onset in haematology-oncology patients. J Clin Nurs 2010;19:1560–8.OpenUrlCrossRefPubMedWeb of Science

    Apostolpolou and colleagues assessed the predictive power of three systems: Infection Probability Score (IPS), Apache II and Karnovsky score for the onset of healthcare-associated infection in haematology–oncology patients. The sample consisted of 102 hospitalised patients, 32 of whom developed a healthcare-associated infection, the most frequent of which was a bloodstream infection (n=17). At a cut-off value of 10, the IPS demonstrated a healthcare-associated infection prediction sensitivity of 59.4% and a specificity of 74.3%, surpassing that of the APACHE II and Karnofsky scoring system.

    Peres Bota1 initially …

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    Footnotes

    • Competing interests None.