Abstract
Bacteraemia has important consequences for the patient, as it is associated with worse clinical outcomes. On the other hand, unnecessarily obtaining samples for blood cultures increases costs and the workload in the microbiology laboratory. Its diagnosis implies a time delay, but decisions about start antibiotic treatment, discharge, or admits the patient must be taken during the first attention and, therefore, before known the blood cultures results. This manuscript reviews the different strategies based on clinical scores and biomarkers that are useful for predicting bacteraemia and improving initial decision-making.
Author supplied keywords
Cite
CITATION STYLE
Clemente-Callejo, C., Julián-Jiménez, A., González, F. J. C., & Del Castillo, J. G. (2022). Models for bacteraemia risk prediction. Clinical implications. Revista Espanola de Quimioterapia, 35, 89–93. https://doi.org/10.37201/req/s03.19.2022
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.