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Cell-surface signatures of immune dysfunction risk-stratify critically ill patients: INFECT study
PURPOSE: Cellular immune dysfunctions, which are common in intensive care patients, predict a number of significant complications. In order to effectively target treatments, clinically applicable measures need to be developed to detect dysfunction. The objective was to confirm the ability of cellula...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006236/ https://www.ncbi.nlm.nih.gov/pubmed/29915941 http://dx.doi.org/10.1007/s00134-018-5247-0 |
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author | Conway Morris, Andrew Datta, Deepankar Shankar-Hari, Manu Stephen, Jacqueline Weir, Christopher J. Rennie, Jillian Antonelli, Jean Bateman, Anthony Warner, Noel Judge, Kevin Keenan, Jim Wang, Alice Burpee, Tony Brown, K. Alun Lewis, Sion M. Mare, Tracey Roy, Alistair I. Hulme, Gillian Dimmick, Ian Rossi, Adriano G. Simpson, A. John Walsh, Timothy S. |
author_facet | Conway Morris, Andrew Datta, Deepankar Shankar-Hari, Manu Stephen, Jacqueline Weir, Christopher J. Rennie, Jillian Antonelli, Jean Bateman, Anthony Warner, Noel Judge, Kevin Keenan, Jim Wang, Alice Burpee, Tony Brown, K. Alun Lewis, Sion M. Mare, Tracey Roy, Alistair I. Hulme, Gillian Dimmick, Ian Rossi, Adriano G. Simpson, A. John Walsh, Timothy S. |
author_sort | Conway Morris, Andrew |
collection | PubMed |
description | PURPOSE: Cellular immune dysfunctions, which are common in intensive care patients, predict a number of significant complications. In order to effectively target treatments, clinically applicable measures need to be developed to detect dysfunction. The objective was to confirm the ability of cellular markers associated with immune dysfunction to stratify risk of secondary infection in critically ill patients. METHODS: Multi-centre, prospective observational cohort study of critically ill patients in four UK intensive care units. Serial blood samples were taken, and three cell surface markers associated with immune cell dysfunction [neutrophil CD88, monocyte human leucocyte antigen-DR (HLA-DR) and percentage of regulatory T cells (T(regs))] were assayed on-site using standardized flow cytometric measures. Patients were followed up for the development of secondary infections. RESULTS: A total of 148 patients were recruited, with data available from 138. Reduced neutrophil CD88, reduced monocyte HLA-DR and elevated proportions of T(regs) were all associated with subsequent development of infection with odds ratios (95% CI) of 2.18 (1.00–4.74), 3.44 (1.58–7.47) and 2.41 (1.14–5.11), respectively. Burden of immune dysfunction predicted a progressive increase in risk of infection, from 14% for patients with no dysfunction to 59% for patients with dysfunction of all three markers. The tests failed to risk stratify patients shortly after ICU admission but were effective between days 3 and 9. CONCLUSIONS: This study confirms our previous findings that three cell surface markers can predict risk of subsequent secondary infection, demonstrates the feasibility of standardized multisite flow cytometry and presents a tool which can be used to target future immunomodulatory therapies. TRIAL REGISTRATION: The study was registered with clinicaltrials.gov (NCT02186522). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00134-018-5247-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6006236 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-60062362018-07-04 Cell-surface signatures of immune dysfunction risk-stratify critically ill patients: INFECT study Conway Morris, Andrew Datta, Deepankar Shankar-Hari, Manu Stephen, Jacqueline Weir, Christopher J. Rennie, Jillian Antonelli, Jean Bateman, Anthony Warner, Noel Judge, Kevin Keenan, Jim Wang, Alice Burpee, Tony Brown, K. Alun Lewis, Sion M. Mare, Tracey Roy, Alistair I. Hulme, Gillian Dimmick, Ian Rossi, Adriano G. Simpson, A. John Walsh, Timothy S. Intensive Care Med Original PURPOSE: Cellular immune dysfunctions, which are common in intensive care patients, predict a number of significant complications. In order to effectively target treatments, clinically applicable measures need to be developed to detect dysfunction. The objective was to confirm the ability of cellular markers associated with immune dysfunction to stratify risk of secondary infection in critically ill patients. METHODS: Multi-centre, prospective observational cohort study of critically ill patients in four UK intensive care units. Serial blood samples were taken, and three cell surface markers associated with immune cell dysfunction [neutrophil CD88, monocyte human leucocyte antigen-DR (HLA-DR) and percentage of regulatory T cells (T(regs))] were assayed on-site using standardized flow cytometric measures. Patients were followed up for the development of secondary infections. RESULTS: A total of 148 patients were recruited, with data available from 138. Reduced neutrophil CD88, reduced monocyte HLA-DR and elevated proportions of T(regs) were all associated with subsequent development of infection with odds ratios (95% CI) of 2.18 (1.00–4.74), 3.44 (1.58–7.47) and 2.41 (1.14–5.11), respectively. Burden of immune dysfunction predicted a progressive increase in risk of infection, from 14% for patients with no dysfunction to 59% for patients with dysfunction of all three markers. The tests failed to risk stratify patients shortly after ICU admission but were effective between days 3 and 9. CONCLUSIONS: This study confirms our previous findings that three cell surface markers can predict risk of subsequent secondary infection, demonstrates the feasibility of standardized multisite flow cytometry and presents a tool which can be used to target future immunomodulatory therapies. TRIAL REGISTRATION: The study was registered with clinicaltrials.gov (NCT02186522). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00134-018-5247-0) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-06-07 2018 /pmc/articles/PMC6006236/ /pubmed/29915941 http://dx.doi.org/10.1007/s00134-018-5247-0 Text en © The Author(s) 2018 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. |
spellingShingle | Original Conway Morris, Andrew Datta, Deepankar Shankar-Hari, Manu Stephen, Jacqueline Weir, Christopher J. Rennie, Jillian Antonelli, Jean Bateman, Anthony Warner, Noel Judge, Kevin Keenan, Jim Wang, Alice Burpee, Tony Brown, K. Alun Lewis, Sion M. Mare, Tracey Roy, Alistair I. Hulme, Gillian Dimmick, Ian Rossi, Adriano G. Simpson, A. John Walsh, Timothy S. Cell-surface signatures of immune dysfunction risk-stratify critically ill patients: INFECT study |
title | Cell-surface signatures of immune dysfunction risk-stratify critically ill patients: INFECT study |
title_full | Cell-surface signatures of immune dysfunction risk-stratify critically ill patients: INFECT study |
title_fullStr | Cell-surface signatures of immune dysfunction risk-stratify critically ill patients: INFECT study |
title_full_unstemmed | Cell-surface signatures of immune dysfunction risk-stratify critically ill patients: INFECT study |
title_short | Cell-surface signatures of immune dysfunction risk-stratify critically ill patients: INFECT study |
title_sort | cell-surface signatures of immune dysfunction risk-stratify critically ill patients: infect study |
topic | Original |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006236/ https://www.ncbi.nlm.nih.gov/pubmed/29915941 http://dx.doi.org/10.1007/s00134-018-5247-0 |
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