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Computed-Tomography Body Composition Analysis Complements Pre-Operative Nutrition Screening in Colorectal Cancer Patients on an Enhanced Recovery after Surgery Pathway

Authors :
Lisa Martin
Pamela Klassen
Gregg Nelson
Vera C. Mazurak
Leah Gramlich
Vickie E. Baracos
Source :
Nutrients, Volume 12, Issue 12, Nutrients, Vol 12, Iss 3745, p 3745 (2020)
Publication Year :
2020
Publisher :
Multidisciplinary Digital Publishing Institute, 2020.

Abstract

Pre-operative nutrition screening is recommended to identify cancer patients at risk of malnutrition, which is associated with poor outcomes. Low muscle mass (sarcopenia) and lipid infiltration to muscle cells (myosteatosis) are similarly associated with poor outcomes but are not routinely screened for. We investigated the prevalence of sarcopenia and myosteatosis across the nutrition screening triage categories of the Patient-Generated Subjective Global Assessment Short Form (PG-SGASF) in a pre-operative colorectal cancer (CRC) cohort. Data were prospectively collected from patients scheduled for surgery at two sites in Edmonton, Canada. PG-SGASF scores &ge<br />4 identified patients at risk for malnutrition<br />sarcopenia and myosteatosis were identified using computed-tomography (CT) analysis. Patients (n = 176) with a mean age of 63.8 &plusmn<br />12.0 years, 52.3% male, 90.3% with stage I&ndash<br />III disease were included. Overall, 25.2% had PG-SGASF score &ge<br />4. Sarcopenia alone, myosteatosis alone or both were identified in 14.0%, 27.3%, and 6.4% of patients, respectively. Sarcopenia and/or myosteatosis were identified in 43.4% of those with PG-SGASF score &lt<br />4 and in 58.5% of those with score &ge<br />4. Overall, 32.9% of the cohort had sarcopenia and/or myosteatosis with PG-SGASF score &lt<br />4. CT-defined sarcopenia and myosteatosis are prevalent in pre-operative CRC patients, regardless of the presence of traditional nutrition risk factors (weight loss, problems eating)<br />therefore, CT image analysis effectively adds value to nutrition screening by identifying patients with other risk factors for poor outcomes.

Details

Language :
English
ISSN :
20726643
Database :
OpenAIRE
Journal :
Nutrients
Accession number :
edsair.doi.dedup.....d88d8c0e20f706027582d42caff338aa
Full Text :
https://doi.org/10.3390/nu12123745