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The potential utility of urinary biomarkers for risk prediction in combat casualties: a prospective observational cohort study

Overview of attention for article published in Critical Care, December 2015
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  • Good Attention Score compared to outputs of the same age (74th percentile)

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Title
The potential utility of urinary biomarkers for risk prediction in combat casualties: a prospective observational cohort study
Published in
Critical Care, December 2015
DOI 10.1186/s13054-015-0965-y
Pubmed ID
Authors

Ian J. Stewart, Kristen R. Glass, Jeffrey T. Howard, Benjamin D. Morrow, Jonathan A. Sosnov, Edward D. Siew, Nancy Wickersham, Wayne Latack, Hana K. Kwan, Kelly D. Heegard, Christina Diaz, Aaron T. Henderson, Kristin K. Saenz, T. Alp Ikizler, Kevin K. Chung

Abstract

Traditional risk scoring prediction models for trauma use either anatomically based estimations of injury or presenting vital signs. Markers of organ dysfunction may provide additional prognostic capability to these models. The objective of this study was to evaluate if urinary biomarkers are associated with poor outcomes, including death and the need for renal replacement therapy. We conducted a prospective, observational study in United States Military personnel with traumatic injury admitted to the intensive care unit at a combat support hospital in Afghanistan. Eighty nine patients with urine samples drawn at admission to the intensive care unit were studied. Twelve patients subsequently died or needed renal replacement therapy. Median admission levels of urinary cystatin C (CyC), interleukin 18 (IL-18), L-type fatty acid binding protein (LFABP) and neutrophil gelatinase-associated lipocalin (NGAL) were significantly higher in patients that developed the combined outcome of death or need for renal replacement therapy. Median admission levels of kidney injury molecule-1 were not associated with the combined outcome. The area under the receiver operating characteristic curves for the combined outcome were 0.815, 0.682, 0.842 and 0.820 for CyC, IL-18, LFABP and NGAL, respectively. Multivariable regression adjusted for injury severity score, revealed CyC (OR 1.97, 95 % confidence interval 1.26-3.10, p = 0.003), LFABP (OR 1.92, 95 % confidence interval 1.24-2.99, p = 0.004) and NGAL (OR 1.80, 95 % confidence interval 1.21-2.66, p = 0.004) to be significantly associated with the composite outcome. Urinary biomarker levels at the time of admission are associated with death or need for renal replacement therapy. Larger multicenter studies will be required to determine how urinary biomarkers can best be used in future prediction models.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 18%
Researcher 6 12%
Professor > Associate Professor 6 12%
Student > Bachelor 5 10%
Other 4 8%
Other 12 24%
Unknown 8 16%
Readers by discipline Count As %
Medicine and Dentistry 31 62%
Agricultural and Biological Sciences 2 4%
Engineering 2 4%
Social Sciences 2 4%
Psychology 1 2%
Other 3 6%
Unknown 9 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 05 March 2024.
All research outputs
#6,930,204
of 25,374,917 outputs
Outputs from Critical Care
#3,868
of 6,554 outputs
Outputs of similar age
#98,491
of 395,421 outputs
Outputs of similar age from Critical Care
#333
of 466 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 6,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 395,421 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 466 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.