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The early identification of disease progression in patients with suspected infection presenting to the emergency department: a multi-centre derivation and validation study

BACKGROUND: There is a lack of validated tools to assess potential disease progression and hospitalisation decisions in patients presenting to the emergency department (ED) with a suspected infection. This study aimed to identify suitable blood biomarkers (MR-proADM, PCT, lactate and CRP) or clinica...

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Autores principales: Saeed, Kordo, Wilson, Darius Cameron, Bloos, Frank, Schuetz, Philipp, van der Does, Yuri, Melander, Olle, Hausfater, Pierre, Legramante, Jacopo M., Claessens, Yann-Erick, Amin, Deveendra, Rosenqvist, Mari, White, Graham, Mueller, Beat, Limper, Maarten, Callejo, Carlota Clemente, Brandi, Antonella, Macchi, Marc-Alexis, Cortes, Nicholas, Kutz, Alexander, Patka, Peter, Yañez, María Cecilia, Bernardini, Sergio, Beau, Nathalie, Dryden, Matthew, van Gorp, Eric C. M., Minieri, Marilena, Chan, Louisa, Rood, Pleunie P. M., del Castillo, Juan Gonzalez
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6368690/
https://www.ncbi.nlm.nih.gov/pubmed/30736862
http://dx.doi.org/10.1186/s13054-019-2329-5
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author Saeed, Kordo
Wilson, Darius Cameron
Bloos, Frank
Schuetz, Philipp
van der Does, Yuri
Melander, Olle
Hausfater, Pierre
Legramante, Jacopo M.
Claessens, Yann-Erick
Amin, Deveendra
Rosenqvist, Mari
White, Graham
Mueller, Beat
Limper, Maarten
Callejo, Carlota Clemente
Brandi, Antonella
Macchi, Marc-Alexis
Cortes, Nicholas
Kutz, Alexander
Patka, Peter
Yañez, María Cecilia
Bernardini, Sergio
Beau, Nathalie
Dryden, Matthew
van Gorp, Eric C. M.
Minieri, Marilena
Chan, Louisa
Rood, Pleunie P. M.
del Castillo, Juan Gonzalez
author_facet Saeed, Kordo
Wilson, Darius Cameron
Bloos, Frank
Schuetz, Philipp
van der Does, Yuri
Melander, Olle
Hausfater, Pierre
Legramante, Jacopo M.
Claessens, Yann-Erick
Amin, Deveendra
Rosenqvist, Mari
White, Graham
Mueller, Beat
Limper, Maarten
Callejo, Carlota Clemente
Brandi, Antonella
Macchi, Marc-Alexis
Cortes, Nicholas
Kutz, Alexander
Patka, Peter
Yañez, María Cecilia
Bernardini, Sergio
Beau, Nathalie
Dryden, Matthew
van Gorp, Eric C. M.
Minieri, Marilena
Chan, Louisa
Rood, Pleunie P. M.
del Castillo, Juan Gonzalez
author_sort Saeed, Kordo
collection PubMed
description BACKGROUND: There is a lack of validated tools to assess potential disease progression and hospitalisation decisions in patients presenting to the emergency department (ED) with a suspected infection. This study aimed to identify suitable blood biomarkers (MR-proADM, PCT, lactate and CRP) or clinical scores (SIRS, SOFA, qSOFA, NEWS and CRB-65) to fulfil this unmet clinical need. METHODS: An observational derivation patient cohort validated by an independent secondary analysis across nine EDs. Logistic and Cox regression, area under the receiver operating characteristic (AUROC) and Kaplan-Meier curves were used to assess performance. Disease progression was identified using a composite endpoint of 28-day mortality, ICU admission and hospitalisation > 10 days. RESULTS: One thousand one hundred seventy-five derivation and 896 validation patients were analysed with respective 28-day mortality rates of 7.1% and 5.0%, and hospitalisation rates of 77.9% and 76.2%. MR-proADM showed greatest accuracy in predicting 28-day mortality and hospitalisation requirement across both cohorts. Patient subgroups with high MR-proADM concentrations (≥ 1.54 nmol/L) and low biomarker (PCT < 0.25 ng/mL, lactate < 2.0 mmol/L or CRP < 67 mg/L) or clinical score (SOFA < 2 points, qSOFA < 2 points, NEWS < 4 points or CRB-65 < 2 points) values were characterised by a significantly longer length of hospitalisation (p < 0.001), rate of ICU admission (p < 0.001), elevated mortality risk (e.g. SOFA, qSOFA and NEWS HR [95%CI], 45.5 [10.0–207.6], 23.4 [11.1–49.3] and 32.6 [9.4–113.6], respectively) and a greater number of disease progression events (p < 0.001), compared to similar subgroups with low MR-proADM concentrations (< 1.54 nmol/L). Increased out-patient treatment across both cohorts could be facilitated using a derivation-derived MR-proADM cut-off of < 0.87 nmol/L (15.0% and 16.6%), with decreased readmission rates and no mortalities. CONCLUSIONS: In patients presenting to the ED with a suspected infection, the blood biomarker MR-proADM could most accurately identify the likelihood of further disease progression. Incorporation into an early sepsis management protocol may therefore aid rapid decision-making in order to either initiate, escalate or intensify early treatment strategies, or identify patients suitable for safe out-patient treatment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13054-019-2329-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-63686902019-02-15 The early identification of disease progression in patients with suspected infection presenting to the emergency department: a multi-centre derivation and validation study Saeed, Kordo Wilson, Darius Cameron Bloos, Frank Schuetz, Philipp van der Does, Yuri Melander, Olle Hausfater, Pierre Legramante, Jacopo M. Claessens, Yann-Erick Amin, Deveendra Rosenqvist, Mari White, Graham Mueller, Beat Limper, Maarten Callejo, Carlota Clemente Brandi, Antonella Macchi, Marc-Alexis Cortes, Nicholas Kutz, Alexander Patka, Peter Yañez, María Cecilia Bernardini, Sergio Beau, Nathalie Dryden, Matthew van Gorp, Eric C. M. Minieri, Marilena Chan, Louisa Rood, Pleunie P. M. del Castillo, Juan Gonzalez Crit Care Research BACKGROUND: There is a lack of validated tools to assess potential disease progression and hospitalisation decisions in patients presenting to the emergency department (ED) with a suspected infection. This study aimed to identify suitable blood biomarkers (MR-proADM, PCT, lactate and CRP) or clinical scores (SIRS, SOFA, qSOFA, NEWS and CRB-65) to fulfil this unmet clinical need. METHODS: An observational derivation patient cohort validated by an independent secondary analysis across nine EDs. Logistic and Cox regression, area under the receiver operating characteristic (AUROC) and Kaplan-Meier curves were used to assess performance. Disease progression was identified using a composite endpoint of 28-day mortality, ICU admission and hospitalisation > 10 days. RESULTS: One thousand one hundred seventy-five derivation and 896 validation patients were analysed with respective 28-day mortality rates of 7.1% and 5.0%, and hospitalisation rates of 77.9% and 76.2%. MR-proADM showed greatest accuracy in predicting 28-day mortality and hospitalisation requirement across both cohorts. Patient subgroups with high MR-proADM concentrations (≥ 1.54 nmol/L) and low biomarker (PCT < 0.25 ng/mL, lactate < 2.0 mmol/L or CRP < 67 mg/L) or clinical score (SOFA < 2 points, qSOFA < 2 points, NEWS < 4 points or CRB-65 < 2 points) values were characterised by a significantly longer length of hospitalisation (p < 0.001), rate of ICU admission (p < 0.001), elevated mortality risk (e.g. SOFA, qSOFA and NEWS HR [95%CI], 45.5 [10.0–207.6], 23.4 [11.1–49.3] and 32.6 [9.4–113.6], respectively) and a greater number of disease progression events (p < 0.001), compared to similar subgroups with low MR-proADM concentrations (< 1.54 nmol/L). Increased out-patient treatment across both cohorts could be facilitated using a derivation-derived MR-proADM cut-off of < 0.87 nmol/L (15.0% and 16.6%), with decreased readmission rates and no mortalities. CONCLUSIONS: In patients presenting to the ED with a suspected infection, the blood biomarker MR-proADM could most accurately identify the likelihood of further disease progression. Incorporation into an early sepsis management protocol may therefore aid rapid decision-making in order to either initiate, escalate or intensify early treatment strategies, or identify patients suitable for safe out-patient treatment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13054-019-2329-5) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-08 /pmc/articles/PMC6368690/ /pubmed/30736862 http://dx.doi.org/10.1186/s13054-019-2329-5 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Saeed, Kordo
Wilson, Darius Cameron
Bloos, Frank
Schuetz, Philipp
van der Does, Yuri
Melander, Olle
Hausfater, Pierre
Legramante, Jacopo M.
Claessens, Yann-Erick
Amin, Deveendra
Rosenqvist, Mari
White, Graham
Mueller, Beat
Limper, Maarten
Callejo, Carlota Clemente
Brandi, Antonella
Macchi, Marc-Alexis
Cortes, Nicholas
Kutz, Alexander
Patka, Peter
Yañez, María Cecilia
Bernardini, Sergio
Beau, Nathalie
Dryden, Matthew
van Gorp, Eric C. M.
Minieri, Marilena
Chan, Louisa
Rood, Pleunie P. M.
del Castillo, Juan Gonzalez
The early identification of disease progression in patients with suspected infection presenting to the emergency department: a multi-centre derivation and validation study
title The early identification of disease progression in patients with suspected infection presenting to the emergency department: a multi-centre derivation and validation study
title_full The early identification of disease progression in patients with suspected infection presenting to the emergency department: a multi-centre derivation and validation study
title_fullStr The early identification of disease progression in patients with suspected infection presenting to the emergency department: a multi-centre derivation and validation study
title_full_unstemmed The early identification of disease progression in patients with suspected infection presenting to the emergency department: a multi-centre derivation and validation study
title_short The early identification of disease progression in patients with suspected infection presenting to the emergency department: a multi-centre derivation and validation study
title_sort early identification of disease progression in patients with suspected infection presenting to the emergency department: a multi-centre derivation and validation study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6368690/
https://www.ncbi.nlm.nih.gov/pubmed/30736862
http://dx.doi.org/10.1186/s13054-019-2329-5
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