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Clin Nutr ESPEN ; 27: 24-31, 2018 10.
Article in English | MEDLINE | ID: mdl-30144889

ABSTRACT

BACKGROUND AND AIMS: Low fat-free mass (FFM) is associated with adverse outcomes in colorectal cancer (CRC) patients. Patient-Generated Subjective Global Assessment (PG-SGA) is a widely used tool developed to detect patients with malnutrition or at risk of malnutrition. The aim of this study was to investigate the agreement between PG-SGA category and FFM in patients with non-metastatic CRC. METHODS: Ninety-seven patients were included and categorized as well nourished (PG-SGA:A, n = 67) or malnourished (PG-SGA:B, n = 30). No patients were severely malnourished (PG-SGA: C). Bioelectrical impedance analysis (BIA) was used to assess FFM. Low FFM was defined as low fat-free mass index (FFMI) according to cut-off values recently proposed by The European Society for Clinical Nutrition and Metabolism (ESPEN). RESULTS: Twenty-nine percent of the patients were identified with low FFMI. The proportion with low FFMI was significantly higher among patients classified as malnourished by PG-SGA compared to well nourished (p = 0.015). The sensitivity was however low, as the PG-SGA categorization classified only 50.0% of the patients with low FFMI as malnourished (PG-SGA B). Using the PG-SGA scores (cut-off point > 4), the sensitivity increased to 60.7%. Physical examination in the PG-SGA identified only 64.3% of the patients with low FFMI as muscle depleted. CONCLUSION: Our results indicate a low agreement between PG-SGA category and low FFMI among patients with non-metastatic CRC. In clinical practice, PG-SGA should be supplemented by muscle mass assessments by BIA or other methods in order to detect low FFM in this patient group.


Subject(s)
Colorectal Neoplasms/pathology , Electric Impedance/therapeutic use , Energy Intake/physiology , Malnutrition/diagnosis , Nutrition Assessment , Aged , Body Fat Distribution , Colorectal Neoplasms/complications , Colorectal Neoplasms/drug therapy , Cross-Sectional Studies , Female , Humans , Male , Malnutrition/complications , Malnutrition/pathology , Middle Aged , Norway , Predictive Value of Tests , Severity of Illness Index
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