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