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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Respirologyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Respirology
Article . 2016 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Respirology
Article . 2017
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Fat‐free mass index predicts survival in patients with idiopathic pulmonary fibrosis

Authors: Osamu, Nishiyama; Ryo, Yamazaki; Hiroyuki, Sano; Takashi, Iwanaga; Yuji, Higashimoto; Hiroaki, Kume; Yuji, Tohda;

Fat‐free mass index predicts survival in patients with idiopathic pulmonary fibrosis

Abstract

ABSTRACT Background and objectiveDetailed body composition, such as fat‐free mass, has not been examined in idiopathic pulmonary fibrosis (IPF). We investigated whether the fat‐free mass index (FFMI), an index of lean body mass, predicted survival.MethodsForty‐four patients with IPF were enrolled in the study. Their body composition was assessed using direct segmental multi‐frequency bioelectrical impedance analysis. The degree of correlation between variables of body composition and other variables such as forced vital capacity (FVC) and survival was examined.ResultsThere was a significant positive correlation between FFMI and FVC, diffusion capacity of the lung for carbon monoxide (DLCO ) and 6‐min walk distance, and a significant negative correlation with age. However, there was no significant correlation between FFMI and percentage predicted FVC or DLCO , with the degree of correlation being similar to that observed for BMI. The mean observation period in the survival analysis was 837.5 ± 407.5 days. A univariate Cox proportional hazard model showed that several variables, but not BMI, were associated significantly with survival. FFMI (hazard ratio (HR): 0.64, 95% CI: 0.43–0.94, P = 0.02) and percentage predicted FVC (HR: 0.96, 95% CI: 0.93–0.99, P=0.008) were significant factors in a multivariate model.ConclusionWe conclude that FFMI is a significant independent predictor of survival in patients with IPF.

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Keywords

Male, Carbon Monoxide, Vital Capacity, Walk Test, Prognosis, Idiopathic Pulmonary Fibrosis, Body Mass Index, Survival Rate, Body Composition, Electric Impedance, Humans, Pulmonary Diffusing Capacity, Female, Lung, Aged, Proportional Hazards Models

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
67
Top 1%
Top 10%
Top 10%
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