<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Conway Morris A</submitter><funding>Innovate UK</funding><funding>BD Biosciences</funding><funding>National Institute for Health Research (NIHR)</funding><funding>National Institute for Academic Anaesthesia</funding><funding>Wellcome Trust</funding><pagination>627-635</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6006236</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>44(5)</volume><pubmed_abstract>&lt;h4>Purpose&lt;/h4>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.&lt;h4>Methods&lt;/h4>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&lt;sub>regs&lt;/sub>)] were assayed on-site using s</pubmed_abstract><journal>Intensive care medicine</journal><pubmed_title>Cell-surface signatures of immune dysfunction risk-stratify critically ill patients: INFECT study.</pubmed_title><pmcid>PMC6006236</pmcid><funding_grant_id>101193</funding_grant_id><funding_grant_id>16/33/01</funding_grant_id><funding_grant_id>205214/Z/16/Z</funding_grant_id><funding_grant_id>EME/16/33/01</funding_grant_id><funding_grant_id>CS-2016-16-011</funding_grant_id><funding_grant_id>WT 2055214/Z/16/Z</funding_grant_id><pubmed_authors>Weir CJ</pubmed_authors><pubmed_authors>Antonelli J</pubmed_authors><pubmed_authors>Wang A</pubmed_authors><pubmed_authors>Judge K</pubmed_authors><pubmed_authors>Warner N</pubmed_authors><pubmed_authors>Lewis SM</pubmed_authors><pubmed_authors>Mare T</pubmed_authors><pubmed_authors>Rossi AG</pubmed_authors><pubmed_authors>Burpee T</pubmed_authors><pubmed_authors>Roy AI</pubmed_authors><pubmed_authors>Datta D</pubmed_authors><pubmed_authors>Shankar-Hari M</pubmed_authors><pubmed_authors>Conway Morris A</pubmed_authors><pubmed_authors>Hulme G</pubmed_authors><pubmed_authors>Rennie J</pubmed_authors><pubmed_authors>Dimmick I</pubmed_authors><pubmed_authors>Simpson AJ</pubmed_authors><pubmed_authors>Keenan J</pubmed_authors><pubmed_authors>Stephen J</pubmed_authors><pubmed_authors>Walsh TS</pubmed_authors><pubmed_authors>Bateman A</pubmed_authors><pubmed_authors>Brown KA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Cell-surface signatures of immune dysfunction risk-stratify critically ill patients: INFECT study.</name><description>&lt;h4>Purpose&lt;/h4>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.&lt;h4>Methods&lt;/h4>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&lt;sub>regs&lt;/sub>)] were assayed on-site using s</description><dates><release>2018-01-01T00:00:00Z</release><publication>2018 May</publication><modification>2026-04-29T05:02:53.45Z</modification><creation>2019-03-26T23:44:19Z</creation></dates><accession>S-EPMC6006236</accession><cross_references><pubmed>29915941</pubmed><doi>10.1007/s00134-018-5247-0</doi></cross_references></HashMap>