Literature DB >> 10372152

Requirements for clinical use of bioelectrical impedance analysis (BIA).

H C Lukaski1.   

Abstract

The bioelectrical impedance analysis (BIA) method is an attractive tool for use in the clinical assessment of human body composition. Factors such as ease of use, relatively low cost, noninvasive nature, high degree of reproducibility, and safety of operation provide an impetus for the general application of this method. The preponderance of the published applications of BIA focused on applications in healthy populations and indicated a qualitative validity of the method. More recent applications have augmented the quantitative values of the BIA approach and have reported very good specificity and sensitivity. One potential limitation of the BIA approach is the reliance on regression models, derived in restricted samples of human subjects, which restricts the usefulness of the derived model in other patients who differ from the original sample in which the model was developed. Other investigational approaches that use different physical models (bioelectrical impedance spectroscopy and parallel model) have yielded successful and useful measures of human body composition in clinical studies. If BIA is to gain acceptance in clinical diagnosis and evaluation of therapeutic interventions, further efforts will be needed to ascertain more fully the validity, sensitivity, and specificity of biological parameters estimated with the new BIA approaches, and to establish the prognostic values of the BIA estimates of body composition.

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Year:  1999        PMID: 10372152     DOI: 10.1111/j.1749-6632.1999.tb09451.x

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  8 in total

1.  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

Review 2.  Bioelectrical impedance analysis to estimate body composition in surgical and oncological patients: a systematic review.

Authors:  E B Haverkort; P L M Reijven; J M Binnekade; M A E de van der Schueren; C P Earthman; D J Gouma; R J de Haan
Journal:  Eur J Clin Nutr       Date:  2014-10-01       Impact factor: 4.016

3.  The effect of subcutaneous fat on electrical impedance myography when using a handheld electrode array: the case for measuring reactance.

Authors:  Minhee Sung; Andrew J Spieker; Pushpa Narayanaswami; Seward B Rutkove
Journal:  Clin Neurophysiol       Date:  2012-08-20       Impact factor: 3.708

Review 4.  Pretreatment serum albumin as a predictor of cancer survival: a systematic review of the epidemiological literature.

Authors:  Digant Gupta; Christopher G Lis
Journal:  Nutr J       Date:  2010-12-22       Impact factor: 3.271

Review 5.  Should we overcome the resistance to bioelectrical impedance in heart failure?

Authors:  Stephen J Hankinson; Charles H Williams; Van-Khue Ton; Stephen S Gottlieb; Charles C Hong
Journal:  Expert Rev Med Devices       Date:  2020-07-13       Impact factor: 3.166

6.  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

7.  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

8.  Novel Combined Training Approach Improves Sleep Quality but Does Not Change Body Composition in Healthy Elderly Women: A Preliminary Study.

Authors:  Thiago Matheus da Silva Sousa; Bruno Rodrigues; Marco Carlos Uchida; Olivia de Moraes Ruberti; Paulo Adriano Schwingel; Tânia Maria Gaspar Novais; Paula de Lourdes Lauande Oliveira; Fabiano de Jesus Furtado Almeida; Janaína Oliveira Bentivi Pulcherio; Bruno Bavaresco Gambassi
Journal:  J Aging Res       Date:  2017-09-14
  8 in total

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