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Journal of Clinical Monitoring and Computing

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01-10-2017 | Original Research

Evaluation of a non-invasive multisensor accelerometer for calculating energy expenditure in ventilated intensive care patients compared to indirect calorimetry and predictive equations

Authors: Janine Krüger, Matthias Kraft, Matthias Gründling, Sigrun Friesecke, Simone Gärtner, Lena J. Vogt, Nicole Schüler, Antje Steveling, Markus M. Lerch, Ali A. Aghdassi

Published in: Journal of Clinical Monitoring and Computing | Issue 5/2017

Abstract

Continuous measurement of resting energy expenditure (REE) in critically ill patients remains challenging but is required to prevent malnutrition. SenseWear Pro 3 Armband (SWA) is a research grade accelerometer for assessment of REE with the advantage of easy handling. In a prospective study we compared SWA with indirect calorimetry (IC) and predictive equations in critically ill, ventilated patients. REE was measured by SWA, IC and calculated by predictive formulas. Potential confounding factors that influence REE were also recorded. Results of SenseWear Armband and indirect calorimetry were compared using the Bland–Altman method. 34 ICU patients were investigated. SWA underestimated resting energy expenditure compared to IC with a mean bias of ΔREE = −253.6 ± 333.2 kcal, equivalent to −11.7 % (p = 0.025). This underestimation was seen in both, medical (−14.9 %) and surgical (−12.9 %) patients and the bias was greater in patients with fever (−19.0 %), tachycardia (−18.7 %) or tachypnea (−26.2 %). Differences were also noted when SWA was compared to predictive formulas. At present, SWA cannot be regarded as an alternative to indirect calorimetry. Individual measurements are often inaccurate and should be used with caution until improved algorithms, based on the results of this study, have been implemented.

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Title: Evaluation of a non-invasive multisensor accelerometer for calculating energy expenditure in ventilated intensive care patients compared to indirect calorimetry and predictive equations
Authors: Janine Krüger
Matthias Kraft
Matthias Gründling
Sigrun Friesecke
Simone Gärtner
Lena J. Vogt
Nicole Schüler
Antje Steveling
Markus M. Lerch
Ali A. Aghdassi
Publication date: 01-10-2017
Publisher: Springer Netherlands
Published in: Journal of Clinical Monitoring and Computing / Issue 5/2017
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI: https://doi.org/10.1007/s10877-016-9934-5

At a glance: The STEP trials

Springer Medicine

Evaluation of a non-invasive multisensor accelerometer for calculating energy expenditure in ventilated intensive care patients compared to indirect calorimetry and predictive equations

Abstract

At a glance: The STEP trials

Springer Medicine

Abstract

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