Nutrition
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The neutrophil-to-lymphocyte ratio (NLR) is considered a systemic inflammatory marker and has been associated with a poor prognosis in various cancer types. The aim of this study was to assess whether lower NLR values are associated with higher adductor pollicis muscle thickness (APMT) values in patients with gastrointestinal tract cancer. ⋯ In patients with cancer, NLR is negatively associated with APMT.
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The aim of this study was to assess the diagnostic sensitivity of body mass index (BMI) in detecting obesity according to different cutoff points in order to classify a high body fat percentage (%BF) in adolescents and young adults. ⋯ The use of different references for the classification of a high %BF implied a difference in the diagnostic sensitivity of the BMI. Higher cutoff points resulted in greater sensitivity and ability to differentiate individuals with and without obesity.
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The aim of this study was to provide the percentiles of distribution of body composition parameters according to cancer staging and body mass index (BMI) stratum, as well as to identify the contribution of age, BMI, and cancer staging in the variation of the different parameters of body composition in a population of patients with endometrial cancer. ⋯ This study provides age, stage, and BMI specific percentiles for body composition parameters, which allowed an in-depth interpretation of how such body compartments, especially the low/high SM sub-ranges, varies according to these stratification variables.
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Serum albumin (sAlb) may be a strong predictor of longevity in the general population and in chronic kidney disease. This study aimed to determine the relationship between sAlb concentrations and mortality risk independent of kidney function. ⋯ Among a nationally representative U.S. cohort, a graded association was observed between lower sAlb concentrations and higher death risk, which was robust across varying levels of kidney function.
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The Global Leadership Initiative on Malnutrition (GLIM) was proposed to provide a common malnutrition diagnostic framework. The aims of this study were to evaluate the applicability and validity of the GLIM and use machine-learning techniques to help provide the best malnutrition-related variables/combinations to predict complications in patients undergoing gastrointestinal (GI) surgeries. ⋯ The various GLIM combinations provided different rates of malnutrition according to the population. Machine-learning techniques supported the use of common single variables and one GLIM model to predict postoperative complications.