Literature DB >> 25613832

Bioimpedance at the bedside: current applications, limitations, and opportunities.

Urvashi Mulasi1, Adam J Kuchnia1, Abigail J Cole1, Carrie P Earthman2.   

Abstract

The loss of muscle mass is a defining characteristic of malnutrition, and there is ongoing interest in the assessment of lean tissue at the bedside. Globally, bioimpedance techniques have been widely appreciated for their noninvasiveness, safety, ease of use, portability, and relatively low cost compared with other clinically available methods. In this brief update, we review the 3 primary types of commercially available bioimpedance devices (single- and multiple-frequency and spectroscopy) and differentiate the underlying theory and current applications of each. We also address limitations and potential opportunities for using these devices at the bedside for clinical assessment. Mixed reports in the validation literature for all bioimpedance approaches have raised questions about absolute accuracy to estimate whole body composition in clinical populations, particularly those with abnormal fluid status and/or body geometry in whom underlying method assumptions may be violated. Careful selection of equations can improve whole body estimates by single- and multiple-frequency techniques; however, not all devices will allow for this approach. Research is increasing on the use of bioimpedance variables including phase angle and impedance ratio as potential markers of nutrition status and/or clinical outcomes; consensus on reference cut-points for interpreting these markers has yet to be established. Novel developments in the bioimpedance spectroscopy approach are allowing for improved fluid management in individuals receiving dialysis; these developments have implications for the clinical management of other conditions associated with fluid overload and may also provide enhanced whole body estimates of lean tissue through new modeling procedures.
© 2015 American Society for Parenteral and Enteral Nutrition.

Keywords:  body cell mass; body composition; electrical impedance; fat-free mass; lean body mass; nutrition assessment; spectroscopy; total body water

Mesh:

Year:  2015        PMID: 25613832     DOI: 10.1177/0884533614568155

Source DB:  PubMed          Journal:  Nutr Clin Pract        ISSN: 0884-5336            Impact factor:   3.080


  59 in total

1.  Longitudinal agreement of four bioimpedance analyzers for detecting changes in raw bioimpedance during purposeful weight gain with resistance training.

Authors:  Matthew T Stratton; Robert W Smith; Patrick S Harty; Christian Rodriguez; Baylor A Johnson; Jacob R Dellinger; Abegale D Williams; Sarah J White; Marqui L Benavides; Grant M Tinsley
Journal:  Eur J Clin Nutr       Date:  2021-03-16       Impact factor: 4.016

2.  The Validity of Bioelectrical Impedance Analysis to Measure Body Composition in Phenylketonuria.

Authors:  Maureen Evans; Kay Nguo; Avihu Boneh; Helen Truby
Journal:  JIMD Rep       Date:  2017-11-24

3.  Efficacy of bioelectrical impedance analysis during the perioperative period in children.

Authors:  In-Kyung Song; Dong-Ho Kim; Eun-Hee Kim; Ji-Hyun Lee; Jin-Tae Kim; Hee-Soo Kim
Journal:  J Clin Monit Comput       Date:  2016-05-04       Impact factor: 2.502

4.  Phase Angle as an Objective and Predictive Factor of Radiotherapy-induced Changes in Body Composition of Male Patients With Head and Neck Cancer.

Authors:  Teresa Małecka-Massalska; Tomasz Powrózek; Monika Prendecka; Radosław Mlak; Grzegorz Sobieszek; Wojciech Brzozowski; Anna Brzozowska
Journal:  In Vivo       Date:  2019 Sep-Oct       Impact factor: 2.155

5.  Skeletal Muscle Ultrasound in Critical Care: A Tool in Need of Translation.

Authors:  Marina Mourtzakis; Selina Parry; Bronwen Connolly; Zudin Puthucheary
Journal:  Ann Am Thorac Soc       Date:  2017-10

6.  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
Journal:  Spinal Cord       Date:  2017-12-28       Impact factor: 2.772

7.  Assessing the immediate impact of botulinum toxin injection on impedance of spastic muscle.

Authors:  Xiaoyan Li; Henry Shin; Le Li; Elaine Magat; Sheng Li; Ping Zhou
Journal:  Med Eng Phys       Date:  2017-02-04       Impact factor: 2.242

8.  Comparison of adiposity indices in relation to prehypertension by age and gender: A community-based survey in Henan, China.

Authors:  Shuaibing Wang; Rui Peng; Shuying Liang; Kaiyan Dong; Wei Nie; Qian Yang; Nan Ma; Jianying Zhang; Kaijuan Wang; Chunhua Song
Journal:  Clin Cardiol       Date:  2018-12-05       Impact factor: 2.882

9.  Raw BIA variables are predictors of muscle strength in patients with chronic obstructive pulmonary disease.

Authors:  F de Blasio; M G Santaniello; F de Blasio; G Mazzarella; A Bianco; L Lionetti; F M E Franssen; L Scalfi
Journal:  Eur J Clin Nutr       Date:  2017-09-13       Impact factor: 4.016

10.  How does nutritional state change during a subacute admission? Findings and implications for practice.

Authors:  J Collins; J Porter; H Truby; C E Huggins
Journal:  Eur J Clin Nutr       Date:  2016-03-02       Impact factor: 4.016

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