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Measuring energy expenditure in the intensive care unit: a comparison of indirect calorimetry by E-sCOVX and Quark RMR with Deltatrac II in mechanically ventilated critically ill patients

Overview of attention for article published in Critical Care, March 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Measuring energy expenditure in the intensive care unit: a comparison of indirect calorimetry by E-sCOVX and Quark RMR with Deltatrac II in mechanically ventilated critically ill patients
Published in
Critical Care, March 2016
DOI 10.1186/s13054-016-1232-6
Pubmed ID
Authors

Martin Sundström Rehal, Erik Fiskaare, Inga Tjäder, Åke Norberg, Olav Rooyackers, Jan Wernerman

Abstract

Indirect calorimetry allows the determination of energy expenditure in critically ill patients by measuring oxygen consumption (VO2) and carbon dioxide production (VCO2). Recent studies have demonstrated variable performance of "breath-by-breath" instruments compared to mixing chamber technology. The aim of this study was to validate two modern devices (E-sCOVX and Quark RMR) against a reference method (Deltatrac II). Measurements of VO2/VCO2 with the test and reference devices were performed simultaneously over a 20-min period in mechanically ventilated adult intensive care unit patients. Accuracy and precision of instruments were analyzed using Bland-Altman plots. Forty-eight measurements in 22 patients were included for analysis. Both E-sCOVX and Quark RMR overestimated VO2 and VCO2 compared to Deltatrac II, corresponding to a 10 % higher mean resting energy expenditure. Limits of agreement of resting energy expenditure within ±2 standard deviations were ±461 kcal/24 h (±21 % expressed as percentage error) for ΔE-sCOVX-Deltatrac II and ±465 kcal/24 h (±22 %) for ΔQuark RMR-Deltatrac II. Both test devices overestimate VO2 and VCO2 compared to Deltatrac II. The observed limits of agreement are comparable to those commonly accepted in evaluations of circulatory monitoring, and significantly less than results from predictive equations. We hypothesize that the discrepancy between methods is due to patient/ventilator-related factors that affect the synchronization of gas and spirometry waveforms. Australian New Zealand Clinical Trials Registry, Trial ID ACTRN12615000205538 . Date registered 3 March 2015.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Unknown 101 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 28%
Other 16 15%
Student > Master 10 10%
Student > Bachelor 9 9%
Professor > Associate Professor 7 7%
Other 16 15%
Unknown 17 16%
Readers by discipline Count As %
Medicine and Dentistry 58 56%
Nursing and Health Professions 7 7%
Engineering 4 4%
Computer Science 3 3%
Agricultural and Biological Sciences 2 2%
Other 9 9%
Unknown 21 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 17 March 2016.
All research outputs
#2,850,723
of 25,529,543 outputs
Outputs from Critical Care
#2,433
of 6,580 outputs
Outputs of similar age
#43,783
of 313,818 outputs
Outputs of similar age from Critical Care
#61
of 90 outputs
Altmetric has tracked 25,529,543 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,580 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 62% 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 313,818 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 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.