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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Temporal biomarker profiles and their association with ICU acquired delirium: a cohort study
|
|---|---|
| Published in |
Critical Care, May 2018
|
| DOI | 10.1186/s13054-018-2054-5 |
| Pubmed ID | |
| Authors |
Koen S. Simons, Mark van den Boogaard, Eva Hendriksen, Jelle Gerretsen, Johannes G. van der Hoeven, Peter Pickkers, Cornelis P. C. de Jager |
| Abstract |
Neuroinflammation is thought to play an important role in the pathogenesis of ICU-acquired delirium, but the association between inflammatory and brain-specific proteins and ICU delirium is poor. We investigated whether or not serial determinations of markers may improve this association. Critically ill patients with a high risk of ICU delirium and with an ICU length of stay of at least 6 days were included in the study. Blood was drawn on days 1, 2, 4 and 6 after ICU admission and analyzed for different markers of inflammation and several brain proteins. Differences in courses over time prior to and following the onset of delirium and absolute differences over time were analyzed in patients with and without delirium using repeated measurement analysis of variance. In addition, a cross-sectional analysis of levels of these markers before the first onset of delirium was performed. Fifty patients were included in this study. In the longitudinal analysis, there were no differences in the levels of any of the markers immediately prior to and following the onset of delirium, but overall, median levels of adiponectin (9019 (IQR 5776-15,442) vs. 6148 (IQR 4447-8742) ng/ml, p = 0.05) were significantly higher in patients with delirium compared to patients without delirium. In the cross-sectional analysis, median levels of the brain protein Tau (90 (IQR 46-224) vs. 31 (IQR 31-52) pg/ml, p = 0.009) and the ratio Tau/amyloid β1-42 (1.42 ((IQR 0.9-2.57) vs. 0.68 (IQR 0.54-0.96), p = 0.003) were significantly higher in patients with hypoactive delirium compared to patients without. Levels of neopterin (111 (IQR 37-111) vs. 29 (IQR 16-64) mmol/l, p = 0.004) and IL-10 (28 (IQR 12-39) vs. 9 (IQR 4-12) pg/ml, p = 0.001) were significantly higher in patients with hypoactive delirium compared to patients with mixed-type delirium. While there are differences in markers (adiponectin and several brain proteins) between patients with and without delirium, the development of delirium is not preceded by a change in the biomarker profile of inflammatory markers or brain proteins. Patients with hypoactive delirium account for the observed differences in biomarkers. ClinicalTrials.gov, NCT 01274819 . Registered on 12 January 2011. |
X Demographics
The data shown below were collected from the profiles of 31 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 States | 9 | 29% |
| United Kingdom | 4 | 13% |
| France | 2 | 6% |
| Spain | 1 | 3% |
| Japan | 1 | 3% |
| Netherlands | 1 | 3% |
| Malaysia | 1 | 3% |
| Australia | 1 | 3% |
| Germany | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 61% |
| Practitioners (doctors, other healthcare professionals) | 6 | 19% |
| Scientists | 4 | 13% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 13% |
| Student > Master | 9 | 13% |
| Professor > Associate Professor | 7 | 10% |
| Other | 6 | 9% |
| Student > Ph. D. Student | 6 | 9% |
| Other | 16 | 24% |
| Unknown | 15 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 46% |
| Nursing and Health Professions | 5 | 7% |
| Neuroscience | 4 | 6% |
| Materials Science | 2 | 3% |
| Social Sciences | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 16 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 30 May 2019.
All research outputs
#2,222,299
of 25,382,440 outputs
Outputs from Critical Care
#1,946
of 6,555 outputs
Outputs of similar age
#45,370
of 344,607 outputs
Outputs of similar age from Critical Care
#55
of 90 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,555 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 344,607 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.