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Models for bacteraemia risk prediction. Clinical implications

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 sta...

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Detalles Bibliográficos
Autores principales: Clemente-Callejo, Carlota, Julián-Jiménez, Agustín, González, Francisco Javier Candel, del Castillo, Juan González
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedad Española de Quimioterapia 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9717467/
https://www.ncbi.nlm.nih.gov/pubmed/36285866
http://dx.doi.org/10.37201/req/s03.19.2022
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author Clemente-Callejo, Carlota
Julián-Jiménez, Agustín
González, Francisco Javier Candel
del Castillo, Juan González
author_facet Clemente-Callejo, Carlota
Julián-Jiménez, Agustín
González, Francisco Javier Candel
del Castillo, Juan González
author_sort Clemente-Callejo, Carlota
collection PubMed
description 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.
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spelling pubmed-97174672022-12-08 Models for bacteraemia risk prediction. Clinical implications Clemente-Callejo, Carlota Julián-Jiménez, Agustín González, Francisco Javier Candel del Castillo, Juan González Rev Esp Quimioter Current Strategies for Infectious Diseases Management 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. Sociedad Española de Quimioterapia 2022-10-24 2022 /pmc/articles/PMC9717467/ /pubmed/36285866 http://dx.doi.org/10.37201/req/s03.19.2022 Text en © The Author 2022 https://creativecommons.org/licenses/by-nc/4.0/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/).
spellingShingle Current Strategies for Infectious Diseases Management
Clemente-Callejo, Carlota
Julián-Jiménez, Agustín
González, Francisco Javier Candel
del Castillo, Juan González
Models for bacteraemia risk prediction. Clinical implications
title Models for bacteraemia risk prediction. Clinical implications
title_full Models for bacteraemia risk prediction. Clinical implications
title_fullStr Models for bacteraemia risk prediction. Clinical implications
title_full_unstemmed Models for bacteraemia risk prediction. Clinical implications
title_short Models for bacteraemia risk prediction. Clinical implications
title_sort models for bacteraemia risk prediction. clinical implications
topic Current Strategies for Infectious Diseases Management
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9717467/
https://www.ncbi.nlm.nih.gov/pubmed/36285866
http://dx.doi.org/10.37201/req/s03.19.2022
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