Literature DB >> 30014873

Lower skeletal muscle attenuation and high visceral fat index are associated with complicated disease in patients with Crohn's disease: An exploratory study.

Marília L Cravo1, Sónia Velho2, Joana Torres1, Maria Pia Costa Santos1, Carolina Palmela1, Rita Cruz3, João Strecht3, Rui Maio4, Vickie Baracos5.   

Abstract

BACKGROUND AND AIMS: The prognostic value of body composition analysis in patients with Crohn's disease (CD) is poorly explored. The aims of the present study were to assess fat and skeletal muscle compartments including muscle radiation attenuation (MA) in patients with CD, and to analyze its predictive value to identify complicated phenotypes.
METHODS: Seventy one patients with CD who have had an abdominal CT within one month of clinical, laboratory, and endoscopic evaluation were included. Skeletal muscle area (SMA) and index (SMI), visceral fat area (VFA) and index (VFI), subcutaneous fat area (SFA), and mean MA were measured using appropriate software. Sarcopenia, as defined by Martin's criteria was assessed. Montreal classification was used to characterize disease phenotype.
RESULTS: Mean MA was lower in patients >40 years (p = 0.001), L2 (p = 0.09) and stricturing/penetrating disease (p = 0.03) whereas SMA and SMI were significantly lower in patients with positive C-reactive protein and previous hospital admissions (p < 0.01). On multivariate analysis, higher MA was protective against the complicated disease phenotype (stricturing/penetrating disease and/or previous surgeries) (OR 0.81; p = 0.002) whereas a high visceral fat index increased such risk (OR 26.1; p = 0.02). A ROC curve showed a 82.4% sensibility, 90.3% specificity, 17.6% positive predictive value, 9.7% negative predictive value and an area under the curve (AUC) of 0.91 for body composition analysis to predict complicated disease.
CONCLUSIONS: A lower muscle attenuation and a high visceral fat index seem to be associated with more severe phenotypes in patients with CD.
Copyright © 2017 European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 30014873     DOI: 10.1016/j.clnesp.2017.04.005

Source DB:  PubMed          Journal:  Clin Nutr ESPEN        ISSN: 2405-4577


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