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Multiple propane gas burn rates procedure to determine accuracy and linearity of indirect calorimetry systems: an experimental assessment of a method

OBJECTIVE: Indirect calorimetry (IC) systems measure the fractions of expired carbon dioxide (F(e)CO(2)), and oxygen (F(e)O(2)) recorded at the mouth to estimate whole-body energy production. The fundamental principle of IC relates to the catabolism of high-energy substrates such as carbohydrates an...

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Autores principales: Ismail, Mohammad, Alsubheen, Sanaa A., Loucks-Atkinson, Angela, Atkinson, Matthew, Alkanani, Thamir, Kelly, Liam P., Basset, Fabien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9435516/
https://www.ncbi.nlm.nih.gov/pubmed/36061755
http://dx.doi.org/10.7717/peerj.13882
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author Ismail, Mohammad
Alsubheen, Sanaa A.
Loucks-Atkinson, Angela
Atkinson, Matthew
Alkanani, Thamir
Kelly, Liam P.
Basset, Fabien
author_facet Ismail, Mohammad
Alsubheen, Sanaa A.
Loucks-Atkinson, Angela
Atkinson, Matthew
Alkanani, Thamir
Kelly, Liam P.
Basset, Fabien
author_sort Ismail, Mohammad
collection PubMed
description OBJECTIVE: Indirect calorimetry (IC) systems measure the fractions of expired carbon dioxide (F(e)CO(2)), and oxygen (F(e)O(2)) recorded at the mouth to estimate whole-body energy production. The fundamental principle of IC relates to the catabolism of high-energy substrates such as carbohydrates and lipids to meet the body’s energy needs through the oxidative process, which are reflected in the measured oxygen uptake rates (V̇O(2)) and carbon dioxide production rates (V̇CO(2)). Accordingly, it is important to know the accuracy and validity of V̇O(2)and V̇CO(2) measurements when estimating energy production and substrate partitioning for research and clinical purposes. Although several techniques are readily available to assess the accuracy of IC systems at a single point for V̇CO(2) and V̇O(2), the validity of such procedures is limited when used in testing protocols that incorporate a wide range of energy production (e.g., basal metabolic rate and maximal exercise testing). Accordingly, we built an apparatus that allowed us to manipulate propane burn rates in such a way as to assess the linearity of IC systems. This technical report aimed to assess the accuracy and linearity of three IC systems using our in-house built validation procedure. APPROACH: A series of trials at different propane burn rates (PBR) (i.e., 200, 300, 400, 500, and 600 mL min(−1)) were run on three IC systems: Sable, Moxus, and Oxycon Pro. The experimental values for V̇O(2) and V̇CO(2) measured on the three IC systems were compared to theoretical stoichiometry values. RESULTS: A linear relationship was observed between increasing PBR and measured values for V̇O(2)and V̇CO(2) (99.6%, 99.2%, 94.8% for the Sable, Moxus, and Jaeger IC systems, respectively). In terms of system error, the Jaeger system had significantly (p < 0.001) greater V̇O(2)(mean difference (M) = −0.057, standard error (SE) = 0.004), and V̇CO(2)(M = −0.048, SE = 0.002) error compared to either the Sable (V̇O(2), M = 0.044, SE = 0.004; V̇CO(2), M = 0.024, SE = 0.002) or the Moxus (V̇O2, M = 0.046, SE = 0.004; V̇CO(2), M = 0.025, SE = 0.002) IC systems. There were no significant differences between the Sable or Moxus IC systems. CONCLUSION: The multiple PBR approach permitted the assessment of linearity of IC systems in addition to determining the accuracy of fractions of expired gases.
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spelling pubmed-94355162022-09-02 Multiple propane gas burn rates procedure to determine accuracy and linearity of indirect calorimetry systems: an experimental assessment of a method Ismail, Mohammad Alsubheen, Sanaa A. Loucks-Atkinson, Angela Atkinson, Matthew Alkanani, Thamir Kelly, Liam P. Basset, Fabien PeerJ Bioengineering OBJECTIVE: Indirect calorimetry (IC) systems measure the fractions of expired carbon dioxide (F(e)CO(2)), and oxygen (F(e)O(2)) recorded at the mouth to estimate whole-body energy production. The fundamental principle of IC relates to the catabolism of high-energy substrates such as carbohydrates and lipids to meet the body’s energy needs through the oxidative process, which are reflected in the measured oxygen uptake rates (V̇O(2)) and carbon dioxide production rates (V̇CO(2)). Accordingly, it is important to know the accuracy and validity of V̇O(2)and V̇CO(2) measurements when estimating energy production and substrate partitioning for research and clinical purposes. Although several techniques are readily available to assess the accuracy of IC systems at a single point for V̇CO(2) and V̇O(2), the validity of such procedures is limited when used in testing protocols that incorporate a wide range of energy production (e.g., basal metabolic rate and maximal exercise testing). Accordingly, we built an apparatus that allowed us to manipulate propane burn rates in such a way as to assess the linearity of IC systems. This technical report aimed to assess the accuracy and linearity of three IC systems using our in-house built validation procedure. APPROACH: A series of trials at different propane burn rates (PBR) (i.e., 200, 300, 400, 500, and 600 mL min(−1)) were run on three IC systems: Sable, Moxus, and Oxycon Pro. The experimental values for V̇O(2) and V̇CO(2) measured on the three IC systems were compared to theoretical stoichiometry values. RESULTS: A linear relationship was observed between increasing PBR and measured values for V̇O(2)and V̇CO(2) (99.6%, 99.2%, 94.8% for the Sable, Moxus, and Jaeger IC systems, respectively). In terms of system error, the Jaeger system had significantly (p < 0.001) greater V̇O(2)(mean difference (M) = −0.057, standard error (SE) = 0.004), and V̇CO(2)(M = −0.048, SE = 0.002) error compared to either the Sable (V̇O(2), M = 0.044, SE = 0.004; V̇CO(2), M = 0.024, SE = 0.002) or the Moxus (V̇O2, M = 0.046, SE = 0.004; V̇CO(2), M = 0.025, SE = 0.002) IC systems. There were no significant differences between the Sable or Moxus IC systems. CONCLUSION: The multiple PBR approach permitted the assessment of linearity of IC systems in addition to determining the accuracy of fractions of expired gases. PeerJ Inc. 2022-08-29 /pmc/articles/PMC9435516/ /pubmed/36061755 http://dx.doi.org/10.7717/peerj.13882 Text en ©2022 Ismail et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioengineering
Ismail, Mohammad
Alsubheen, Sanaa A.
Loucks-Atkinson, Angela
Atkinson, Matthew
Alkanani, Thamir
Kelly, Liam P.
Basset, Fabien
Multiple propane gas burn rates procedure to determine accuracy and linearity of indirect calorimetry systems: an experimental assessment of a method
title Multiple propane gas burn rates procedure to determine accuracy and linearity of indirect calorimetry systems: an experimental assessment of a method
title_full Multiple propane gas burn rates procedure to determine accuracy and linearity of indirect calorimetry systems: an experimental assessment of a method
title_fullStr Multiple propane gas burn rates procedure to determine accuracy and linearity of indirect calorimetry systems: an experimental assessment of a method
title_full_unstemmed Multiple propane gas burn rates procedure to determine accuracy and linearity of indirect calorimetry systems: an experimental assessment of a method
title_short Multiple propane gas burn rates procedure to determine accuracy and linearity of indirect calorimetry systems: an experimental assessment of a method
title_sort multiple propane gas burn rates procedure to determine accuracy and linearity of indirect calorimetry systems: an experimental assessment of a method
topic Bioengineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9435516/
https://www.ncbi.nlm.nih.gov/pubmed/36061755
http://dx.doi.org/10.7717/peerj.13882
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