4.6 Article

Relationship between skeletal muscle function, body composition, and weight loss in patients with advanced pancreatic and gastrointestinal cancers

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SUPPORTIVE CARE IN CANCER
卷 27, 期 4, 页码 1181-1186

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SPRINGER
DOI: 10.1007/s00520-018-4421-9

关键词

Digestive cancers; Muscle strength; Body composition; Weight loss

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BackgroundMuscle function and its correlation with body composition and weight loss have not been studied deeply in pancreas and gastrointestinal cancers. This research aims to determine the skeletal muscle function and its relationship with body compartments, significant weight loss, and performance status (ECOG) 0-2 in a population with advanced digestive cancers.MethodsA cross-sectional study was designed to determine the relationship between muscular function, weight loss, and body composition. Patients with advanced digestive adenocarcinomas were evaluated. Muscle strength was examined by hand grip technique and body composition by bioimpedance analysis. Values of hemoglobin and albumin were measured in plasma.ResultsA sample of 81 patients was included. They had adenocarcinoma of stomach (n=9), pancreas (n=28), or colorectum (n=44). With regard to skeletal muscle function, sub-maximal strength increased when percentage of weight loss decreased (p=0.002) or when any of the following variables increased: skeletal muscle (p<0.001), waist-hip ratio (p<0.001), body surface area (p<0.001), and body mass index (p=0.001). According to multivariate analysis of these variables, only percentage of weight loss and skeletal muscle remained statistically significant. Endurance had no correlation with any of the variables. Higher weight loss was found in tumors of the upper tract (stomach and pancreas) in comparison with those of the lower tract (colorectal) (p=0.005).ConclusionsIn advanced digestive cancer, sub-maximal strength correlated inversely with weight loss and directly with skeletal muscle such as in lung and head and neck cancers. On the other hand, endurance had no correlation with any of the variables considered.

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