Literature DB >> 27628058

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

Janine Krüger1, Matthias Kraft1, Matthias Gründling2, Sigrun Friesecke3, Simone Gärtner1, Lena J Vogt1, Nicole Schüler1, Antje Steveling1, Markus M Lerch4, Ali A Aghdassi1.   

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.

Entities:  

Keywords:  Critically ill; Energy expenditure; Indirect calorimetry; Predictive equations; SenseWear Pro Armband

Mesh:

Year:  2016        PMID: 27628058     DOI: 10.1007/s10877-016-9934-5

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  36 in total

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Journal:  Am J Clin Nutr       Date:  2007-03       Impact factor: 7.045

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Journal:  Respir Med       Date:  2009-05-23       Impact factor: 3.415

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Journal:  Gerontology       Date:  2010-12-22       Impact factor: 5.140

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8.  [Postoperative assessment of daily energy expenditure. Comparison of two methods].

Authors:  R Dummler; A Zittermann; M Schäfer; M Emmerich
Journal:  Anaesthesist       Date:  2013-01-16       Impact factor: 1.041

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Authors:  S Bertoli; A Posata; A Battezzati; A Spadafranca; G Testolin; G Bedogni
Journal:  Clin Nutr       Date:  2008-02-13       Impact factor: 7.324

10.  Energy expenditure in critically ill patients estimated by population-based equations, indirect calorimetry and CO2-based indirect calorimetry.

Authors:  Mark Lillelund Rousing; Mie Hviid Hahn-Pedersen; Steen Andreassen; Ulrike Pielmeier; Jean-Charles Preiser
Journal:  Ann Intensive Care       Date:  2016-02-18       Impact factor: 6.925

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  2 in total

Review 1.  Journal of Clinical Monitoring and Computing 2017 end of year summary: respiration.

Authors:  D S Karbing; G Perchiazzi; S E Rees; M B Jaffe
Journal:  J Clin Monit Comput       Date:  2018-02-26       Impact factor: 2.502

Review 2.  Potentials and Challenges of Pervasive Sensing in the Intensive Care Unit.

Authors:  Anis Davoudi; Benjamin Shickel; Patrick James Tighe; Azra Bihorac; Parisa Rashidi
Journal:  Front Digit Health       Date:  2022-05-17
  2 in total

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