New resting energy expenditure prediction equations for patients with rheumatoid arthritis

2.50
Hdl Handle:
http://hdl.handle.net/2436/40234
Title:
New resting energy expenditure prediction equations for patients with rheumatoid arthritis
Authors:
Metsios, Giorgos S.; Stavropoulos-Kalinoglou, Antonios; Panoulas, Vasileios F.; Koutedakis, Yiannis; Nevill, Alan M.; Douglas, Karen M. J.; Kita, Marina D.; Kitas, George D.
Abstract:
OBJECTIVES: Resting energy expenditure (REE), one of the main components of total energy expenditure, can be measured via indirect calorimetry and/or predicted from equations. The latter may be misleading in RA, as they do not take into account the metabolic alterations occurring in RA. The objectives of this study are to evaluate the accuracy of widely used REE-predictive equations in RA patients against measured REE and to develop RA-specific equations. METHODS: We assessed REE (via indirect calorimetry and several predictive equations), fat-free mass (FFM; via bioelectrical impedance) and disease activity (CRP) in RA patients and healthy controls. Data from 60 RA patients (experimental group) were used to assess the accuracy of existing REE equations and to develop new equations. The new equations were validated in an independent cross-validation group of 22 RA patients. These two groups were merged and two final equations were developed. RESULTS: All equations significantly under-predicted measured REE (from 15% to 18.2%, all at P < 0.001) in the RA experimental group, but not in the control group. After both equations demonstrated a high validity in the cross-validation group, the new final REE prediction equations developed from the total RA sample (n = 82) were: Model 1: REE (kcal/day) = 126.1 x FFM(0.638) x CRP(0.045) (R(2) = 0.70) and Model 2: REE (kcal/day) = 598.8 x weight(0.47) x age(-0.29) x CRP(0.066) (R(2) = 0.62). CONCLUSION: The new equations provide an accurate prediction of REE in RA patients and could be used for clinical monitoring of resting metabolism of these patients without the requirement for specialized personnel.
Citation:
Rheumatology, 47(4): 500-506
Publisher:
Oxford University Press
Journal:
Rheumatology
Issue Date:
2008
URI:
http://hdl.handle.net/2436/40234
DOI:
10.1093/rheumatology/ken022
PubMed ID:
18304942
Additional Links:
http://rheumatology.oxfordjournals.org/cgi/content/abstract/47/4/500
Type:
Article
Language:
en
ISSN:
1462-0332
Appears in Collections:
Sport, Exercise and Health Research Group; Learning and Teaching in Sport, Exercise and Performance

Full metadata record

DC FieldValue Language
dc.contributor.authorMetsios, Giorgos S.-
dc.contributor.authorStavropoulos-Kalinoglou, Antonios-
dc.contributor.authorPanoulas, Vasileios F.-
dc.contributor.authorKoutedakis, Yiannis-
dc.contributor.authorNevill, Alan M.-
dc.contributor.authorDouglas, Karen M. J.-
dc.contributor.authorKita, Marina D.-
dc.contributor.authorKitas, George D.-
dc.date.accessioned2008-11-04T12:09:50Z-
dc.date.available2008-11-04T12:09:50Z-
dc.date.issued2008-
dc.identifier.citationRheumatology, 47(4): 500-506en
dc.identifier.issn1462-0332-
dc.identifier.pmid18304942-
dc.identifier.doi10.1093/rheumatology/ken022-
dc.identifier.urihttp://hdl.handle.net/2436/40234-
dc.description.abstractOBJECTIVES: Resting energy expenditure (REE), one of the main components of total energy expenditure, can be measured via indirect calorimetry and/or predicted from equations. The latter may be misleading in RA, as they do not take into account the metabolic alterations occurring in RA. The objectives of this study are to evaluate the accuracy of widely used REE-predictive equations in RA patients against measured REE and to develop RA-specific equations. METHODS: We assessed REE (via indirect calorimetry and several predictive equations), fat-free mass (FFM; via bioelectrical impedance) and disease activity (CRP) in RA patients and healthy controls. Data from 60 RA patients (experimental group) were used to assess the accuracy of existing REE equations and to develop new equations. The new equations were validated in an independent cross-validation group of 22 RA patients. These two groups were merged and two final equations were developed. RESULTS: All equations significantly under-predicted measured REE (from 15% to 18.2%, all at P < 0.001) in the RA experimental group, but not in the control group. After both equations demonstrated a high validity in the cross-validation group, the new final REE prediction equations developed from the total RA sample (n = 82) were: Model 1: REE (kcal/day) = 126.1 x FFM(0.638) x CRP(0.045) (R(2) = 0.70) and Model 2: REE (kcal/day) = 598.8 x weight(0.47) x age(-0.29) x CRP(0.066) (R(2) = 0.62). CONCLUSION: The new equations provide an accurate prediction of REE in RA patients and could be used for clinical monitoring of resting metabolism of these patients without the requirement for specialized personnel.en
dc.language.isoenen
dc.publisherOxford University Pressen
dc.relation.urlhttp://rheumatology.oxfordjournals.org/cgi/content/abstract/47/4/500en
dc.subjectResting energy expenditureen
dc.subjectMetabolismen
dc.subjectEquationen
dc.subjectPredictionen
dc.subject.meshAgeden
dc.subject.meshAnthropometryen
dc.subject.meshAntirheumatic Agentsen
dc.subject.meshArthritis, Rheumatoiden
dc.subject.meshBiological Markersen
dc.subject.meshBody Weighten
dc.subject.meshC-Reactive Proteinen
dc.subject.meshCalorimetry, Indirecten
dc.subject.meshEnergy Metabolismen
dc.subject.meshFemaleen
dc.subject.meshHumansen
dc.subject.meshMaleen
dc.subject.meshMiddle Ageden
dc.subject.meshModels, Biologicalen
dc.subject.meshReproducibility of Resultsen
dc.subject.meshSeverity of Illness Indexen
dc.subject.meshTumor Necrosis Factor-alphaen
dc.titleNew resting energy expenditure prediction equations for patients with rheumatoid arthritisen
dc.typeArticleen
dc.identifier.journalRheumatologyen

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