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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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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. |
format | Online Article Text |
id | pubmed-6368690 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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