Literature DB >> 23941792

Prediction of limb lean tissue mass from bioimpedance spectroscopy in persons with chronic spinal cord injury.

Christopher M Cirnigliaro1, Michael F La Fountaine, Racine Emmons, Steven C Kirshblum, Pierre Asselin, Ann M Spungen, William A Bauman.   

Abstract

BACKGROUND: Bioimpedance spectroscopy (BIS) is a non-invasive, simple, and inexpensive modality that uses 256 frequencies to determine the extracellular volume impedance (ECVRe) and intracellular volume impedance (ICVRi) in the total body and regional compartments. As such, it may have utility as a surrogate measure to assess lean tissue mass (LTM).
OBJECTIVE: To compare the relationship between LTM from dual-energy X-ray absorptiometry (DXA) and BIS impedance values in spinal cord injury (SCI) and able-bodied (AB) control subjects using a cross-sectional research design.
METHODS: In 60 subjects (30 AB and 30 SCI), a total body DXA scan was used to obtain total body and leg LTM. BIS was performed to measure the impedance quotient of the ECVRe and ICVRi in the total body and limbs.
RESULTS: BIS-derived ECVRe yielded a model for LTM in paraplegia, tetraplegia, and control for the right leg (RL) (R(2) = 0.75, standard errors of estimation (SEE) = 1.02 kg, P < 0.0001; R(2) = 0.65, SEE = 0.91 kg, P = 0.0006; and R(2) = 0.54, SEE = 1.31 kg, P < 0.0001, respectively) and left leg (LL) (R(2) = 0.76, SEE = 1.06 kg, P < 0.0001; R(2) = 0.64, SEE = 0.83 kg, P = 0.0006; and R(2) = 0.54, SEE = 1.34 kg, P < 0.0001, respectively). The ICVRi was similarly predictive of LTM in paraplegia, tetraplegia, and AB controls for the RL (R(2) = 0.85, SEE = 1.31 kg, P < 0.0001; R(2) = 0.52, SEE = 0.95 kg, P = 0.003; and R(2) = 0.398, SEE = 1.46 kg, P = 0.0003, respectively) and LL (R(2) = 0.62, SEE = 1.32 kg, P = 0.0003; R(2) = 0.57, SEE = 0.91 kg, P = 0.002; and R(2) = 0.42, SEE = 1.31 kg, P = 0.0001, respectively).
CONCLUSION: Findings demonstrate that the BIS-derived impedance quotients for ECVRe and ICVRi may be used as surrogate markers to track changes in leg LTM in persons with SCI.

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Year:  2013        PMID: 23941792      PMCID: PMC3739894          DOI: 10.1179/2045772313Y.0000000108

Source DB:  PubMed          Journal:  J Spinal Cord Med        ISSN: 1079-0268            Impact factor:   1.985


  40 in total

1.  Soft tissue body composition differences in monozygotic twins discordant for spinal cord injury.

Authors:  A M Spungen; J Wang; R N Pierson; W A Bauman
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2.  Assessment of skeletal muscle mass in men with spinal cord injury using dual-energy X-ray absorptiometry and magnetic resonance imaging.

Authors:  Christopher M Modlesky; C Scott Bickel; Jill M Slade; Ronald A Meyer; Kirk J Cureton; Gary A Dudley
Journal:  J Appl Physiol (1985)       Date:  2003-10-03

3.  Intermuscular adipose tissue-free skeletal muscle mass: estimation by dual-energy X-ray absorptiometry in adults.

Authors:  Jaehee Kim; Stanley Heshka; Dympna Gallagher; Donald P Kotler; Laurel Mayer; Jeanine Albu; Wei Shen; Pamela U Freda; Steven B Heymsfield
Journal:  J Appl Physiol (1985)       Date:  2004-04-16

4.  Total body DXA: on the cusp of clinical care.

Authors:  Diane Krueger; Neil Binkley
Journal:  J Clin Densitom       Date:  2012-08-22       Impact factor: 2.617

5.  A new technique for the quantification of peripheral edema with application in both unilateral and bilateral cases.

Authors:  Bruce H Cornish; Brian J Thomas; Leigh C Ward; Cherrell Hirst; Ian H Bunce
Journal:  Angiology       Date:  2002 Jan-Feb       Impact factor: 3.619

Review 6.  Carbohydrate and lipid metabolism in chronic spinal cord injury.

Authors:  W A Bauman; A M Spungen
Journal:  J Spinal Cord Med       Date:  2001       Impact factor: 1.985

7.  Measurement of percentage of body fat in 411 children and adolescents: a comparison of dual-energy X-ray absorptiometry with a four-compartment model.

Authors:  Aviva B Sopher; John C Thornton; Jack Wang; Richard N Pierson; Steven B Heymsfield; Mary Horlick
Journal:  Pediatrics       Date:  2004-05       Impact factor: 7.124

8.  Total body water and its distribution in men with spinal cord injury.

Authors:  D Cardús; W G McTaggart
Journal:  Arch Phys Med Rehabil       Date:  1984-09       Impact factor: 3.966

9.  The use of bioelectric impedance analysis to measure fluid compartments in subjects with chronic paraplegia.

Authors:  Andrea C Buchholz; Colleen F McGillivray; Paul B Pencharz
Journal:  Arch Phys Med Rehabil       Date:  2003-06       Impact factor: 3.966

10.  Factors influencing body composition in persons with spinal cord injury: a cross-sectional study.

Authors:  Ann M Spungen; Rodney H Adkins; Charles A Stewart; Jack Wang; Richard N Pierson; Robert L Waters; William A Bauman
Journal:  J Appl Physiol (1985)       Date:  2003-08-08
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  4 in total

Review 1.  Management of obesity after spinal cord injury: a systematic review.

Authors:  Mir Hatef Shojaei; Seyed Mohammad Alavinia; B Catharine Craven
Journal:  J Spinal Cord Med       Date:  2017-09-20       Impact factor: 1.985

2.  Changes in body composition during and after inpatient rehabilitation in people with recent spinal cord injury.

Authors:  Yiming Ma; Sonja de Groot; Suzanne Romviel; Wendy Achterberg; Ludwine van Orsouw; Thomas W J Janssen
Journal:  Spinal Cord Ser Cases       Date:  2021-09-28

3.  Effect of Gait Training Program with Mechanical Exoskeleton on Body Composition of Paraplegics.

Authors:  Hyuk-Jae Choi; Gyoo-Suk Kim; Jung Hoon Chai; Chang-Yong Ko
Journal:  J Multidiscip Healthc       Date:  2020-12-03

4.  Assessment of body composition in spinal cord injury: A scoping review.

Authors:  Jan W van der Scheer; Julia O Totosy de Zepetnek; Cheri Blauwet; Katherine Brooke-Wavell; Terri Graham-Paulson; Amber N Leonard; Nick Webborn; Victoria L Goosey-Tolfrey
Journal:  PLoS One       Date:  2021-05-07       Impact factor: 3.240

  4 in total

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