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    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. ©The Author 2022. Published by Sociedad Española de Quimioterapia. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)(https://creativecommons.org/licenses/by-nc/4.0/).

    Citation

    C Clemente-Callejo, A Julián-Jiménez, F J Candel, J González Del Castillo. Models for bacteraemia risk prediction. Clinical implications. Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia. 2022 Oct 24;35 Suppl 3:89-93

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    PMID: 36285866

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