Literature DB >> 18234142

Disease-related malnutrition but not underweight by BMI is reflected by disturbed electric tissue properties in the bioelectrical impedance vector analysis.

Kristina Norman1, Christine Smoliner, Anne Kilbert, Luzia Valentini, Herbert Lochs, Matthias Pirlich.   

Abstract

The calculation of body composition using bioelectrical impedance analysis in sick and hospitalized patients is hampered due to altered hydration state. We wanted to investigate how disease-related malnutrition assessed by the Subjective Global Assessment (SGA) is reflected in the bioelectrical impedance vector analysis. Patients with benign gastrointestinal disease (n 242) were entered in the study. Nutritional status was assessed by SGA. Arm muscle and fat area were estimated by anthropometry, muscle function was determined by hand grip strength. Whole body impedance measurements were made at 50 kHz. Ninety-eight patients were considered well nourished (SGA A), ninety-four were classified moderately malnourished (SGA B) and fifty patients were classified severely malnourished (SGA C) according to the SGA. The mean vector was significantly displaced between SGA C and SGA A and B, showing comparable resistance with a significantly reduced reactance, indicating comparable hydration but loss of dielectrical mass of soft tissues. This distinctive vector migration was not seen when studying the patients grouped according to BMI. In conclusion, disease-related malnutrition as assessed by the SGA is associated with a distinctive bioelectrical vector migration, implying that abnormal tissue structure and not reduced body mass only occurs in disease-related malnutrition. These disturbances are not seen in underweight according to BMI. Bioelectrical impedance vector analysis appears to be an attractive tool to identify disease-related malnutrition and to monitor nutritional intervention.

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Year:  2008        PMID: 18234142     DOI: 10.1017/S0007114508911545

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  9 in total

Review 1.  Bioelectrical impedance vector analysis (BIVA) for the assessment of two-compartment body composition.

Authors:  R Buffa; E Mereu; O Comandini; M E Ibanez; E Marini
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Review 2.  Body composition analysis in older adults with dementia. Anthropometry and bioelectrical impedance analysis: a critical review.

Authors:  M A Camina Martín; B de Mateo Silleras; M P Redondo del Río
Journal:  Eur J Clin Nutr       Date:  2014-08-13       Impact factor: 4.016

3.  Applicability of the direct parameters of bioelectrical impedance in assessing nutritional status and surgical complications of women with gynecological cancer.

Authors:  I C R Cardoso; M A Aredes; G V Chaves
Journal:  Eur J Clin Nutr       Date:  2017-08-09       Impact factor: 4.016

4.  Efficacy of specific bioelectrical impedance vector analysis (BIVA) for assessing body composition in the elderly.

Authors:  E Marini; G Sergi; V Succa; B Saragat; S Sarti; A Coin; E Manzato; R Buffa
Journal:  J Nutr Health Aging       Date:  2013       Impact factor: 4.075

5.  Effect of sexual dimorphism on muscle strength in cachexia.

Authors:  Kristina Norman; Nicole Stobäus; Judith Reiß; Jörg Schulzke; Luzia Valentini; Matthias Pirlich
Journal:  J Cachexia Sarcopenia Muscle       Date:  2012-03-30       Impact factor: 12.910

6.  Bioelectrical impedance vector analysis (BIVA) for measuring the hydration status in young elite synchronized swimmers.

Authors:  Marta Carrasco-Marginet; Jorge Castizo-Olier; Lara Rodríguez-Zamora; Xavier Iglesias; Ferran A Rodríguez; Diego Chaverri; Daniel Brotons; Alfredo Irurtia
Journal:  PLoS One       Date:  2017-06-07       Impact factor: 3.240

7.  Bioelectrical impedance vector analysis (BIVA) in sport and exercise: Systematic review and future perspectives.

Authors:  Jorge Castizo-Olier; Alfredo Irurtia; Monèm Jemni; Marta Carrasco-Marginet; Raúl Fernández-García; Ferran A Rodríguez
Journal:  PLoS One       Date:  2018-06-07       Impact factor: 3.240

8.  Association between phase angle, anthropometric measurements, and lipid profile in HCV-infected patients.

Authors:  Mariana de Souza Dorna; Nara Aline Costa; Erick Prado de Oliveira; Ligia Yukie Sassaki; Fernando Gomes Romeiro; Sergio Alberto Rupp de Paiva; Marcos Ferreira Minicucci; Giovanni Faria Silva
Journal:  Clinics (Sao Paulo)       Date:  2013-12       Impact factor: 2.365

9.  The Association between Phase Angle of Bioelectrical Impedance Analysis and Survival Time in Advanced Cancer Patients: Preliminary Study.

Authors:  So Yeon Lee; Yong Joo Lee; Jung-Hwa Yang; Chul-Min Kim; Whan-Seok Choi
Journal:  Korean J Fam Med       Date:  2014-09-24
  9 in total

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