Obstructive Lung Diseases: Airways 4 |

Bedside Assessment of Body Composition and Muscle Function in COPD Patients FREE TO VIEW

Francesca de Blasio, MS; Luca Scalfi, MD; Maria Grazia Santaniello, PhD; Giulia Miracco Berlingieri, MD; Marina De Martino, MD; Francesco de Blasio, MD
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“Federico II” University of Naples, Medical School, Naples, Italy

Copyright 2016, American College of Chest Physicians. All Rights Reserved.

Chest. 2016;150(4_S):863A. doi:10.1016/j.chest.2016.08.963
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SESSION TYPE: Original Investigation Poster

PRESENTED ON: Wednesday, October 26, 2016 at 01:30 PM - 02:30 PM

PURPOSE: Assessment of both body composition and muscle function is relevant in chronic obstructive pulmonary disease (COPD) patients. In the clinical settings, bioelectrical impedance analysis (BIA), as a bedside method for evaluating body composition, and specific muscle function tests may routinely be used. The purpose of this study was to explore the relationship between fat-free mass (FFM), as estimated using several disease-specific BIA formulas and selected muscle function tests.

METHODS: Two-hundred and nineteen COPD patients (71 F, 148 M) underwent BIA and measurements of lung function, respiratory muscle strength (maximum inspiratory and expiratory pressure, MIP and MEP), handgrip strength (HGS) and six-minute walk distance (6MWD). Fat-free mass (FFM) and fat mass (FM) were estimated by using four different disease-specific formulas (Schols, Kyle, Steiner and Rutten).

RESULTS: Mean value for male and female patients combined was 70.2±7.7 years for age, 68.2±12.6 kg for weight, 26.3±4.1 kg/m2 for body mass index (BMI), with a forced expiratory volume in 1 second (FEV1) of 45.2±19.1%. FFM was higher with Rutten formula compared to other formulas. Statistical analysis considered gender, age, weight, BMI, FFM, FM and percent body fat as potential determinants of muscle function. Coherent results were obtained using the four disease-specific formulas. HGS, MIP, MEP and 6MWD were all more strongly correlated with body composition than with age and subjects’ basic physical characteristics. Determinants emerged from multiple regression analysis as follows: gender, age and FFM for HGS; age and FFM for MIP and MEP; percent body fat and FFM for 6MWD. The proportion of variance explained was much higher for HGS than for other tests.

CONCLUSIONS: Muscle function is more strongly related to FFM (estimated from BIA), than to age and subjects’ basic physical characteristics. No clear differences were observed, depending on the predictive formula considered.

CLINICAL IMPLICATIONS: BIA may be useful for a better clinical interpretation of muscle function tests in COPD patients.

DISCLOSURE: The following authors have nothing to disclose: Francesca de Blasio, Luca Scalfi, Maria Grazia Santaniello, Giulia Miracco Berlingieri, Marina De Martino, Francesco de Blasio

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