Prospective Evaluation of a Model of Prediction of Invasive Bacterial Infection Risk among Children with Cancer, Fever, and Neutropenia
A risk prediction model for invasive bacterial infection (IBI) was prospectively evaluated among children presenting with cancer, fever, and neutropenia. The model incorporated assessment of 5 previously identified risk factors: serum level of C-reactive protein (CRP) ⩾90 mg/L, hypotension, identifi...
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Published in: | Clinical infectious diseases Vol. 35; no. 6; pp. 678 - 683 |
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Main Authors: | , , , , , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Chicago, IL
The University of Chicago Press
15-09-2002
University of Chicago Press |
Subjects: | |
Online Access: | Get full text |
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Summary: | A risk prediction model for invasive bacterial infection (IBI) was prospectively evaluated among children presenting with cancer, fever, and neutropenia. The model incorporated assessment of 5 previously identified risk factors: serum level of C-reactive protein (CRP) ⩾90 mg/L, hypotension, identification of relapse of leukemia as the cancer type, platelet count of ⩽50,000 platelets/mm3, and recent receipt of chemotherapy [16]. Children were uniformly evaluated at enrollment and were classified as having high or low risk for IBI according to a model that considers the number and type of variables present. Of the 263 febrile episodes evaluated during a 17-month period, 140 (53%) were in IBI-positive children. The sensitivity, specificity, and positive and negative predictive values of the model were 92%, 76%, 82%, and 90%, respectively. Identification of these 5 risk factors during the first 24 h of hospitalization was helpful in discriminating between children with a high or low risk for IBI. |
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Bibliography: | ark:/67375/HXZ-KBZRH8L4-M istex:289EAC8B59876FDEB292D4C0E15D9D2D5E6DC6DF ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 1058-4838 1537-6591 |
DOI: | 10.1086/342064 |