Literature DB >> 22480798

Cachexia assessed by bioimpedance vector analysis as a prognostic indicator in chronic stable heart failure patients.

Lilia Castillo-Martínez1, Eloisa Colín-Ramírez, Arturo Orea-Tejeda, Dulce Gabriela González Islas, Wendy Daniella Rodríguez García, Cira Santillán Díaz, Ana Elizabeth Gutiérrez Rodríguez, Marisela Vázquez Durán, Candace Keirns Davies.   

Abstract

BACKGROUND: This study explored whether the cachectic state assessed by bioimpedance vector analysis provides additional prognostic information about mortality from all causes.
METHODS: We included 519 consecutive patients with stable chronic heart failure (mean age 62.5 ± 16.4 y; 286 males). Cachexia was identified in those subjects who fell outside the right lower quadrant of the reference curve of 95% on the resistance/reactance graph [bioelectrical impedance vectorial analysis (BIVA)-cachexia]. Clinical, anthropometric, and biochemical data were also evaluated.
RESULTS: Patients with BIVA-cachexia (n = 196, 37.8%) were older and had significantly lower ejection fraction, handgrip strength, serum albumin, total cholesterol, and triglycerides. The frequency of patients with body mass index < 20, decreased muscle strength, hypoalbuminemia, anemia, anorexia, New York Heart Association functional classes III/IV and edema, as well as creatinine levels, resistance/height, and impedance index was significantly higher in the cachexia group. During 29 ± 11 mo of follow-up, 39 (19.9%) patients with BIVA-cachexia and 38 (11.7%) patients without BIVA-cachexia (P < 0.0001) died.
CONCLUSIONS: The cachectic state is an independent risk factor for mortality in chronic heart failure patients. BIVA could represent a valuable tool to assess presence of cachexia as changes in body cell mass in heart failure patients because provide information additional to weight loss.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22480798     DOI: 10.1016/j.nut.2011.11.024

Source DB:  PubMed          Journal:  Nutrition        ISSN: 0899-9007            Impact factor:   4.008


  18 in total

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Authors:  A Rogier van der Velde; Wouter C Meijers; Rudolf A de Boer
Journal:  Curr Heart Fail Rep       Date:  2014-09

Review 2.  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
Journal:  Eur J Clin Nutr       Date:  2014-08-20       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
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4.  Comorbid renal tubular damage and hypoalbuminemia exacerbate cardiac prognosis in patients with chronic heart failure.

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Journal:  Clin Res Cardiol       Date:  2015-07-29       Impact factor: 5.460

Review 5.  The importance of assessing nutritional status in elderly patients with heart failure.

Authors:  Luis Sargento; Susana Longo; Nuno Lousada; Roberto Palma dos Reis
Journal:  Curr Heart Fail Rep       Date:  2014-06

Review 6.  The Role of Nutritional Status in Elderly Patients with Heart Failure.

Authors:  M Wleklik; I Uchmanowicz; B Jankowska-Polańska; C Andreae; B Regulska-Ilow
Journal:  J Nutr Health Aging       Date:  2018       Impact factor: 4.075

7.  Bioelectrical impedance vector analysis for evaluating zinc supplementation in prepubertal and healthy children.

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Journal:  Food Nutr Res       Date:  2015-09-29       Impact factor: 3.894

8.  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

9.  The potential of classic and specific bioelectrical impedance vector analysis for the assessment of sarcopenia and sarcopenic obesity.

Authors:  Elisabetta Marini; Roberto Buffa; Bruno Saragat; Alessandra Coin; Elena Debora Toffanello; Linda Berton; Enzo Manzato; Giuseppe Sergi
Journal:  Clin Interv Aging       Date:  2012-12-18       Impact factor: 4.458

10.  Accuracy of specific BIVA for the assessment of body composition in the United States population.

Authors:  Roberto Buffa; Bruno Saragat; Stefano Cabras; Andrea C Rinaldi; Elisabetta Marini
Journal:  PLoS One       Date:  2013-03-06       Impact factor: 3.240

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