Literature DB >> 12716669

Validation of bioelectrical impedance analysis in patients with amyotrophic lateral sclerosis.

Jean C Desport1, Pierre M Preux, Corinne Bouteloup-Demange, Pierre Clavelou, Bernard Beaufrère, Christine Bonnet, Philippe P Couratier.   

Abstract

BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a neurologic disease with an unfavorable prognosis that may be accompanied by malnutrition or overweight. Nutritional status is difficult to evaluate in these patients because of their physical limitations and the asymmetry of their disease involvement. Bioelectrical impedance analysis (BIA), which enables bedside analysis of body compartments, has not been adequately validated for use in patients with ALS.
OBJECTIVE: We compared reference measures of fat-free mass (FFM(a)), obtained by dual-energy X-ray absorptiometry, with FFM obtained by BIA and by the skinfold-thickness technique.
DESIGN: We measured FFM(a) in 32 ALS patients. Anthropometric measures included weight, height, skinfold thickness, and arm and wrist circumferences. The fat mass obtained from the skinfold-thickness measures enabled us to calculate FFM. BIA was performed by measuring the bioimpedances at 5, 50, and 100 kHz of each side of the body and from one side to the other. FFM was calculated by using the instrument's internal software and by using 3 standard equations. The concordance between the methods was evaluated by the Bland-Altman test.
RESULTS: Two of the 16 measured FFM values were not significantly different from FFM(a). However, the risk of dispersion was too high to be acceptable in practice. An equation was then developed by using multivariate analysis, with impedance at 50 kHz. This equation was validated in a second population of 15 ALS patients and with the use of 2 successive measurements performed on 18 patients.
CONCLUSION: BIA is a simple technique that is valid for use in ALS patients, both for a single exam measure and for longitudinal monitoring, with the use of an adapted equation and a frequency of 50 kHz.

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Year:  2003        PMID: 12716669     DOI: 10.1093/ajcn/77.5.1179

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  17 in total

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2.  Bioelectrical impedance phase angle as a prognostic indicator of survival in head-and-neck cancer.

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3.  Bioelectrical impedance phase angle and subjective global assessment in detecting malnutrition among newly diagnosed head and neck cancer patients.

Authors:  Teresa Małecka-Massalska; Radoslaw Mlak; Agata Smolen; Kamal Morshed
Journal:  Eur Arch Otorhinolaryngol       Date:  2015-04-10       Impact factor: 2.503

4.  Bedside quantification of fat-free mass in acute spinal cord injury using bioelectrical impedance analysis: a psychometric study.

Authors:  Maya G Panisset; Kate Desneves; Leigh C Ward; Jillian Rafferty; Helena Rodi; Geoff Roff; Doa El-Ansary; Mary P Galea
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5.  Extracellular-to-body cell mass ratio and subjective global assessment in head-and-neck cancers.

Authors:  T Małecka-Massalska; A Smoleń; K Morshed
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6.  Adipose Tissue Distribution Predicts Survival in Amyotrophic Lateral Sclerosis.

Authors:  Eva Lindauer; Luc Dupuis; Hans-Peter Müller; Heiko Neumann; Albert C Ludolph; Jan Kassubek
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7.  Bioelectrical impedance analysis in clinical practice: implications for hepatitis C therapy BIA and hepatitis C.

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8.  Body composition in amyotrophic lateral sclerosis subjects and its effect on disease progression and survival.

Authors:  Rup Tandan; Evan A Levy; Diantha B Howard; John Hiser; Nathan Kokinda; Swatee Dey; Edward J Kasarskis
Journal:  Am J Clin Nutr       Date:  2022-05-01       Impact factor: 8.472

9.  Bioelectrical impedance phase angle in clinical practice: implications for prognosis in stage IIIB and IV non-small cell lung cancer.

Authors:  Digant Gupta; Carolyn A Lammersfeld; Pankaj G Vashi; Jessica King; Sadie L Dahlk; James F Grutsch; Christopher G Lis
Journal:  BMC Cancer       Date:  2009-01-28       Impact factor: 4.430

10.  Bioelectrical impedance phase angle as a prognostic indicator in breast cancer.

Authors:  Digant Gupta; Carolyn A Lammersfeld; Pankaj G Vashi; Jessica King; Sadie L Dahlk; James F Grutsch; Christopher G Lis
Journal:  BMC Cancer       Date:  2008-08-27       Impact factor: 4.430

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