Literature DB >> 25597016

Bioelectrical impedance phase angle relates to function, disease severity and prognosis in stable chronic obstructive pulmonary disease.

Matthew Maddocks1, Samantha S C Kon2, Sarah E Jones3, Jane L Canavan4, Claire M Nolan5, Irene J Higginson6, Wei Gao7, Michael I Polkey8, William D-C Man9.   

Abstract

BACKGROUND & AIMS: Bioelectrical impedance analysis (BIA) provides a simple method to assess changes in body composition. Raw BIA variables such as phase angle provide direct information on cellular mass and integrity, without the assumptions inherent in estimating body compartments, e.g. fat-free mass (FFM). Phase angle is a strong functional and prognostic marker in many disease states, but data in COPD are lacking. Our aims were to describe the measurement of phase angle in patients with stable COPD and determine the construct and discriminate validity of phase angle by assessing its relationship with established markers of function, disease severity and prognosis.
METHODS: 502 outpatients with stable COPD were studied. Phase angle and FFM by BIA, quadriceps strength (QMVC), 4-m gait speed (4MGS), 5 sit-to-stand time (5STS), incremental shuttle walk (ISW), and composite prognostic indices (ADO, iBODE) were measured. Patients were stratified into normal and low phase angle and FFM index.
RESULTS: Phase angle correlated positively with FFM and functional outcomes (r = 0.35-0.66, p < 0.001) and negatively with prognostic indices (r = -0.35 to -0.48, p < 0.001). In regression models, phase angle was independently associated with ISW, ADO and iBODE whereas FFM was removed. One hundred and seventy patients (33.9% [95% CI, 29.9-38.1]) had a low phase angle. Phenotypic characteristics included lower QMVC, ISW, and 4MGS, higher 5STS, ADO and iBODE scores, and more exacerbations and hospital days in past year. The proportion of patients to have died was significantly higher in patients with low phase angle compared to those with normal phase angle (8.2% versus 3.6%, p = 0.02).
CONCLUSION: Phase angle relates to markers of function, disease severity and prognosis in patients with COPD. As a directly measured variable, phase angle offers more useful information than fat-free mass indices.
Copyright © 2015 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

Entities:  

Keywords:  Bioelectrical impedance analysis; Body composition; Chronic obstructive pulmonary disease; Fat-free mass; Phase angle

Mesh:

Year:  2015        PMID: 25597016     DOI: 10.1016/j.clnu.2014.12.020

Source DB:  PubMed          Journal:  Clin Nutr        ISSN: 0261-5614            Impact factor:   7.324


  18 in total

Review 1.  Sarcopenia and frailty in chronic respiratory disease.

Authors:  Anna E Bone; Nilay Hepgul; Samantha Kon; Matthew Maddocks
Journal:  Chron Respir Dis       Date:  2017-02-24       Impact factor: 2.444

2.  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

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7.  Mediation effect of the duration of diabetes mellitus on the decrease in bioimpedance phase angles in ethnically Korean people: A multicenter clinical study.

Authors:  Min-Ho Jun; Boncho Ku; Jihye Kim; Keun Ho Kim; Jaeuk U Kim
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8.  Evaluation of body composition in COPD patients using multifrequency bioelectrical impedance analysis.

Authors:  Francesca de Blasio; Francesco de Blasio; Giulia Miracco Berlingieri; Andrea Bianco; Marta La Greca; Frits M E Franssen; Luca Scalfi
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2016-09-30

9.  Prevalence of malnutrition in COPD and its relationship with the parameters related to disease severity.

Authors:  Burak Mete; Erkan Pehlivan; Gazi Gülbaş; Hakan Günen
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10.  Psycho-Electrophysiological Benefits of Forest Therapies Focused on Qigong and Walking with Elderly Individuals.

Authors:  Jiyune Yi; Seul Gee Kim; Taegyu Khil; Minja Shin; Jin-Hee You; Sookja Jeon; Gue Hong Park; Ah Young Jeong; Youngsuwn Lim; Kahye Kim; Jingun Kim; Byunghoon Kang; Jueun Lee; Jeong Hwan Park; Boncho Ku; Jungmi Choi; Wonseok Cha; Hwa-Jin Lee; Changseob Shin; Wonsop Shin; Jaeuk U Kim
Journal:  Int J Environ Res Public Health       Date:  2021-03-15       Impact factor: 3.390

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