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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 Clinical Nutrition E...arrow_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
Clinical Nutrition ESPEN
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Adductor pollicis muscle thickness has a low association with muscle mass and lean mass in kidney transplantation patients

Authors: Aline S. dos Reis; Heitor O. Santos; Larissa S. Limirio; Erick P. de Oliveira;

Adductor pollicis muscle thickness has a low association with muscle mass and lean mass in kidney transplantation patients

Abstract

The use of adductor pollicis muscle thickness (APMT) as a predictor of muscle and lean mass is not fully understood and little is known whether the APMT evaluation presents advantages when compared to simpler anthropometric measurements, such as body weight. We aimed to associate APMT, alone and plus body weight, with muscle mass and lean mass in kidney transplantation patients.A cross-sectional study was carried out with 129 kidney transplantation patients of both sexes that presented a high time of kidney transplant (95.6 ± 78.3 months). Body weight and height were performed and APMT was measured using a caliper. Lean mass and muscle mass were estimated by bioelectrical impedance.After linear regression analysis, APMT explained the variances of muscle mass and lean mass by 20% (R2 = 0.208; β = 0.456; p < 0.001) and by 26% (R2 = 0.264; β = 0.514; p < 0.001), respectively. Body weight predicted muscle mass by 21% (R2 = 0.216; β = 0.465; p < 0.001) and lean mass by 68% (R2 = 0.684; β = 0.828; p < 0.001). Analyzing weight plus APMT, the prediction of muscle mass and lean mass increased by 8% (R2 = 0.29; β = 0.325; p < 0.001) and by 3% (R2 = 0.71; β = 0.749; p < 0.001), respectively; when compared to weight alone.Compared with body weight, APMT presented a similar association with muscle mass, but showed a lower prediction of lean mass. In this way, the evaluation of body weight, instead of APMT, seems to have a better cost-benefit to predict both muscle mass and lean mass in kidney transplantation patients.

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Keywords

Male, Cross-Sectional Studies, Nutrition Assessment, Predictive Value of Tests, Body Composition, Humans, Female, Middle Aged, Muscle, Skeletal, Kidney Transplantation

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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!
6
Top 10%
Average
Average
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