Raw Bioelectrical Impedance Analysis Variables Are Independent Predictors of Early All-Cause Mortality in Patients With COPD.


Journal

Chest
ISSN: 1931-3543
Titre abrégé: Chest
Pays: United States
ID NLM: 0231335

Informations de publication

Date de publication:
06 2019
Historique:
received: 06 09 2018
revised: 12 12 2018
accepted: 02 01 2019
pubmed: 20 1 2019
medline: 5 3 2020
entrez: 20 1 2019
Statut: ppublish

Résumé

Bioelectrical impedance analysis (BIA) is a valuable method for estimating fat-free mass and fat mass in patients with COPD by using specific predictive equations. In addition, raw BIA variables such as high- to low-frequency impedance ratios (IRs) and phase angle, most likely as a result of providing information on muscle quality, have been related to disease severity and mortality in patients with several diseases but never in COPD. The aim of this study was to investigate the predictive role of raw BIA variables on 2-year survival in COPD. Impedance (Z) at 5-10-50-100-250 kHz and phase angle at 50 kHz were determined in 210 patients with COPD. Three IRs were calculated: Z at 50 kHz/Z at 5 kHz (50/5 IR), Z at 100 kHz/Z at 5 kHz (100/5 IR), and Z at 250 kHz/Z at 5 kHz (250/5 IR). Demographic, respiratory, and body composition data at baseline were recorded. All-cause mortality was assessed during 2 years of follow-up. After the follow-up period, all-cause mortality was 13.8%. Statistically significant differences between nonsurvivors and survivors emerged in terms of age, weight, BMI, FEV IRs and phase angle, as raw BIA variables, are independent and powerful predictors of all-cause mortality in COPD and should be considered, together with inspiratory capacity and 6-min walk distance, as significant prognostic factors in the short- to middle-term.

Sections du résumé

BACKGROUND
Bioelectrical impedance analysis (BIA) is a valuable method for estimating fat-free mass and fat mass in patients with COPD by using specific predictive equations. In addition, raw BIA variables such as high- to low-frequency impedance ratios (IRs) and phase angle, most likely as a result of providing information on muscle quality, have been related to disease severity and mortality in patients with several diseases but never in COPD. The aim of this study was to investigate the predictive role of raw BIA variables on 2-year survival in COPD.
METHODS
Impedance (Z) at 5-10-50-100-250 kHz and phase angle at 50 kHz were determined in 210 patients with COPD. Three IRs were calculated: Z at 50 kHz/Z at 5 kHz (50/5 IR), Z at 100 kHz/Z at 5 kHz (100/5 IR), and Z at 250 kHz/Z at 5 kHz (250/5 IR). Demographic, respiratory, and body composition data at baseline were recorded. All-cause mortality was assessed during 2 years of follow-up.
RESULTS
After the follow-up period, all-cause mortality was 13.8%. Statistically significant differences between nonsurvivors and survivors emerged in terms of age, weight, BMI, FEV
CONCLUSIONS
IRs and phase angle, as raw BIA variables, are independent and powerful predictors of all-cause mortality in COPD and should be considered, together with inspiratory capacity and 6-min walk distance, as significant prognostic factors in the short- to middle-term.

Identifiants

pubmed: 30659818
pii: S0012-3692(19)30008-X
doi: 10.1016/j.chest.2019.01.001
pii:
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

1148-1157

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2019 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

Auteurs

Francesca de Blasio (F)

Department of Public Health, "Federico II" University of Naples, Naples, Italy; Department of Medical Sciences, University of Turin, Turin, Italy. Electronic address: francesca.deblasio1989@gmail.com.

Luca Scalfi (L)

Department of Public Health, "Federico II" University of Naples, Naples, Italy.

Ada Di Gregorio (A)

Department of Public Health, "Federico II" University of Naples, Naples, Italy.

Paola Alicante (P)

Department of Public Health, "Federico II" University of Naples, Naples, Italy.

Andrea Bianco (A)

Department of Translational Medical Sciences, University of Campania "L Vanvitelli," Naples, Italy.

Claudio Tantucci (C)

Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.

Barbara Bellofiore (B)

Respiratory Medicine and Pulmonary Rehabilitation Section, Clinic Center, Private Hospital, Naples, Italy.

Francesco de Blasio (F)

Respiratory Medicine and Pulmonary Rehabilitation Section, Clinic Center, Private Hospital, Naples, Italy; Department of Medicine and Health Sciences, "V Tiberio" University of Molise, Naples, Italy.

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Classifications MeSH