| Title |
Cell-surface signatures of immune dysfunction risk-stratify critically ill patients: INFECT study
|
|---|---|
| Published in |
Intensive Care Medicine, June 2018
|
| DOI | 10.1007/s00134-018-5247-0 |
| Pubmed ID | |
| Authors |
Andrew Conway Morris, Deepankar Datta, Manu Shankar-Hari, Jacqueline Stephen, Christopher J. Weir, Jillian Rennie, Jean Antonelli, Anthony Bateman, Noel Warner, Kevin Judge, Jim Keenan, Alice Wang, Tony Burpee, K. Alun Brown, Sion M. Lewis, Tracey Mare, Alistair I. Roy, Gillian Hulme, Ian Dimmick, Adriano G. Rossi, A. John Simpson, Timothy S. Walsh |
| Abstract |
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. 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 (Tregs)] were assayed on-site using standardized flow cytometric measures. Patients were followed up for the development of secondary infections. A total of 148 patients were recruited, with data available from 138. Reduced neutrophil CD88, reduced monocyte HLA-DR and elevated proportions of Tregs 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. 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. The study was registered with clinicaltrials.gov (NCT02186522). |
X Demographics
The data shown below were collected from the profiles of 42 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 13 | 31% |
| United States | 5 | 12% |
| Kazakhstan | 1 | 2% |
| Peru | 1 | 2% |
| India | 1 | 2% |
| France | 1 | 2% |
| Malaysia | 1 | 2% |
| Vietnam | 1 | 2% |
| Australia | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 14 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 52% |
| Practitioners (doctors, other healthcare professionals) | 9 | 21% |
| Scientists | 9 | 21% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 16% |
| Researcher | 9 | 12% |
| Other | 7 | 9% |
| Student > Bachelor | 6 | 8% |
| Student > Postgraduate | 5 | 6% |
| Other | 10 | 13% |
| Unknown | 28 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 30% |
| Agricultural and Biological Sciences | 6 | 8% |
| Immunology and Microbiology | 5 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Computer Science | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 32 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 76. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 December 2023.
All research outputs
#569,687
of 25,670,640 outputs
Outputs from Intensive Care Medicine
#526
of 5,461 outputs
Outputs of similar age
#12,430
of 343,063 outputs
Outputs of similar age from Intensive Care Medicine
#22
of 146 outputs
Altmetric has tracked 25,670,640 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,461 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.6. This one has done particularly well, scoring higher than 90% of its peers.
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We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.