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Biomarkers and clinical scores to aid the identification of disease severity and intensive care requirement following activation of an in-hospital sepsis code

BACKGROUND: Few validated biomarker or clinical score combinations exist which can discriminate between cases of infection and other non-infectious conditions following activation of an in-hospital sepsis code, as well as provide an accurate severity assessment of the corresponding host response. Th...

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Autores principales: Baldirà, Jaume, Ruiz-Rodríguez, Juan Carlos, Wilson, Darius Cameron, Ruiz-Sanmartin, Adolf, Cortes, Alejandro, Chiscano, Luis, Ferrer-Costa, Roser, Comas, Inma, Larrosa, Nieves, Fàbrega, Anna, González-López, Juan José, Ferrer, Ricard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962418/
https://www.ncbi.nlm.nih.gov/pubmed/31940096
http://dx.doi.org/10.1186/s13613-020-0625-5
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author Baldirà, Jaume
Ruiz-Rodríguez, Juan Carlos
Wilson, Darius Cameron
Ruiz-Sanmartin, Adolf
Cortes, Alejandro
Chiscano, Luis
Ferrer-Costa, Roser
Comas, Inma
Larrosa, Nieves
Fàbrega, Anna
González-López, Juan José
Ferrer, Ricard
author_facet Baldirà, Jaume
Ruiz-Rodríguez, Juan Carlos
Wilson, Darius Cameron
Ruiz-Sanmartin, Adolf
Cortes, Alejandro
Chiscano, Luis
Ferrer-Costa, Roser
Comas, Inma
Larrosa, Nieves
Fàbrega, Anna
González-López, Juan José
Ferrer, Ricard
author_sort Baldirà, Jaume
collection PubMed
description BACKGROUND: Few validated biomarker or clinical score combinations exist which can discriminate between cases of infection and other non-infectious conditions following activation of an in-hospital sepsis code, as well as provide an accurate severity assessment of the corresponding host response. This study aimed to identify suitable blood biomarker (MR-proADM, PCT, CRP and lactate) or clinical score (SOFA and APACHE II) combinations to address this unmet clinical need. METHODS: A prospective, observational study of patients activating the Vall d’Hebron University Hospital sepsis code (ISC) within the emergency department (ED), hospital wards and intensive care unit (ICU). Area under the receiver operating characteristic (AUROC) curves, logistic and Cox regression analysis were used to assess performance. RESULTS: 148 patients fulfilled the Vall d’Hebron ISC criteria, of which 130 (87.8%) were retrospectively found to have a confirmed diagnosis of infection. Both PCT and MR-proADM had a moderate-to-high performance in discriminating between infected and non-infected patients following ISC activation, although the optimal PCT cut-off varied significantly across departments. Similarly, MR-proADM and SOFA performed well in predicting 28- and 90-day mortality within the total infected patient population, as well as within patients presenting with a community-acquired infection or following a medical emergency or prior surgical procedure. Importantly, MR-proADM also showed a high association with the requirement for ICU admission after ED presentation [OR (95% CI) 8.18 (1.75–28.33)] or during treatment on the ward [OR (95% CI) 3.64 (1.43–9.29)], although the predictive performance of all biomarkers and clinical scores diminished between both settings. CONCLUSIONS: Results suggest that the individual use of PCT and MR-proADM might help to accurately identify patients with infection and assess the overall severity of the host response, respectively. In addition, the use of MR-proADM could accurately identify patients requiring admission onto the ICU, irrespective of whether patients presented to the ED or were undergoing treatment on the ward. Initial measurement of both biomarkers might therefore facilitate early treatment strategies following activation of an in-hospital sepsis code.
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spelling pubmed-69624182020-01-30 Biomarkers and clinical scores to aid the identification of disease severity and intensive care requirement following activation of an in-hospital sepsis code Baldirà, Jaume Ruiz-Rodríguez, Juan Carlos Wilson, Darius Cameron Ruiz-Sanmartin, Adolf Cortes, Alejandro Chiscano, Luis Ferrer-Costa, Roser Comas, Inma Larrosa, Nieves Fàbrega, Anna González-López, Juan José Ferrer, Ricard Ann Intensive Care Research BACKGROUND: Few validated biomarker or clinical score combinations exist which can discriminate between cases of infection and other non-infectious conditions following activation of an in-hospital sepsis code, as well as provide an accurate severity assessment of the corresponding host response. This study aimed to identify suitable blood biomarker (MR-proADM, PCT, CRP and lactate) or clinical score (SOFA and APACHE II) combinations to address this unmet clinical need. METHODS: A prospective, observational study of patients activating the Vall d’Hebron University Hospital sepsis code (ISC) within the emergency department (ED), hospital wards and intensive care unit (ICU). Area under the receiver operating characteristic (AUROC) curves, logistic and Cox regression analysis were used to assess performance. RESULTS: 148 patients fulfilled the Vall d’Hebron ISC criteria, of which 130 (87.8%) were retrospectively found to have a confirmed diagnosis of infection. Both PCT and MR-proADM had a moderate-to-high performance in discriminating between infected and non-infected patients following ISC activation, although the optimal PCT cut-off varied significantly across departments. Similarly, MR-proADM and SOFA performed well in predicting 28- and 90-day mortality within the total infected patient population, as well as within patients presenting with a community-acquired infection or following a medical emergency or prior surgical procedure. Importantly, MR-proADM also showed a high association with the requirement for ICU admission after ED presentation [OR (95% CI) 8.18 (1.75–28.33)] or during treatment on the ward [OR (95% CI) 3.64 (1.43–9.29)], although the predictive performance of all biomarkers and clinical scores diminished between both settings. CONCLUSIONS: Results suggest that the individual use of PCT and MR-proADM might help to accurately identify patients with infection and assess the overall severity of the host response, respectively. In addition, the use of MR-proADM could accurately identify patients requiring admission onto the ICU, irrespective of whether patients presented to the ED or were undergoing treatment on the ward. Initial measurement of both biomarkers might therefore facilitate early treatment strategies following activation of an in-hospital sepsis code. Springer International Publishing 2020-01-15 /pmc/articles/PMC6962418/ /pubmed/31940096 http://dx.doi.org/10.1186/s13613-020-0625-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research
Baldirà, Jaume
Ruiz-Rodríguez, Juan Carlos
Wilson, Darius Cameron
Ruiz-Sanmartin, Adolf
Cortes, Alejandro
Chiscano, Luis
Ferrer-Costa, Roser
Comas, Inma
Larrosa, Nieves
Fàbrega, Anna
González-López, Juan José
Ferrer, Ricard
Biomarkers and clinical scores to aid the identification of disease severity and intensive care requirement following activation of an in-hospital sepsis code
title Biomarkers and clinical scores to aid the identification of disease severity and intensive care requirement following activation of an in-hospital sepsis code
title_full Biomarkers and clinical scores to aid the identification of disease severity and intensive care requirement following activation of an in-hospital sepsis code
title_fullStr Biomarkers and clinical scores to aid the identification of disease severity and intensive care requirement following activation of an in-hospital sepsis code
title_full_unstemmed Biomarkers and clinical scores to aid the identification of disease severity and intensive care requirement following activation of an in-hospital sepsis code
title_short Biomarkers and clinical scores to aid the identification of disease severity and intensive care requirement following activation of an in-hospital sepsis code
title_sort biomarkers and clinical scores to aid the identification of disease severity and intensive care requirement following activation of an in-hospital sepsis code
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962418/
https://www.ncbi.nlm.nih.gov/pubmed/31940096
http://dx.doi.org/10.1186/s13613-020-0625-5
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