Nutrition
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Multicenter Study Observational Study
The application value of preoperative fat-free mass index within Global Leadership Initiative on Malnutrition-defined malnutrition criteria for postoperative outcomes in patients with esophagogastric cancer.
The present study aimed to investigate the prognostic value of the preoperative fat-free mass index (FFMI) for postoperative outcomes in patients undergoing esophagogastric cancer surgery and to explore the role of the FFMI in the Global Leadership Initiative on Malnutrition (GLIM) criteria. ⋯ The FFMI has an important role in the diagnosis of malnutrition using the GLIM criteria. In this study, a decreased preoperative FFMI was closely associated with postoperative complications in patients with esophagogastric cancer.
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With increasing life expectancy of patients with cystic fibrosis (CF), gastrointestinal manifestations of the disease have been increasingly brought into focus. This was a systematic review of the PubMed database and ongoing phase III clinical trials that aimed to summarize recent (published after June 1 2016) studies reporting the effects of nutritional interventions on anthropometric measures (weight, height, and body mass index) in patients with CF. ⋯ Key results supported the benefits of comprehensive, individualized nutritional plans, high-fat, high-calorie diet including high-quality carbohydrates, and enteric tube feeding (albeit the latter was derived from observational studies only). In contrast, the supplementation of probiotics, lipids, docosahexaenoic, glutathione, or antioxidant-enriched multivitamin appeared to have little effect on anthropometric measures.
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This study investigated the nutritional quality and adequacy of school meals served to school-age children and adolescents. ⋯ Despite their benefit to alleviate hunger in schools, school meals contributed suboptimal energy and nutrients to deprived school-age children and adolescents. Inclusion of animal products, fruits, and vegetables may improve energy and nutritional values.
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Review
Assessment of body composition: Intrinsic methodological limitations and statistical pitfalls.
Evaluation of body composition (BC) is crucial for an adequate assessment of nutritional status and its alterations, to ensure the optimal tailoring of nutritional therapies during several pathologic conditions. The need for feasible and reliable methods for BC measurement, which could be applied either in healthcare across the lifespan as well as in clinical research and epidemiologic studies, has led to the development of various techniques. Unfortunately, they have not always produced equivalent results due to the fact that they are based on completely different principles or suffer intrinsic biases related to specific conditions. ⋯ Finally, the need to compare the data obtained by new techniques to a reference standard has produced a further bias, due to a systematic misinterpretation of the statistical methods in the attempt to correlate the various techniques. In this context, the most used statistical methods for the comparison between different techniques have been Pearson's correlation test, the more recent intraclass correlation coefficient, Lin's concordance correlation coefficient method, and the Bland-Altman analysis. The aim of this review was to offer a summary of the methods that are mostly used in clinical practice to measure BC with the intent to give appropriate suggestions when statistical methods are used to interpret data, and underline pitfalls and limitations.
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This study aimed to investigate the association between muscle strength and adjusted appendicular skeletal muscle mass (ASM) in patients who have had strokes with the Functional Independence Measure (FIM) and the probability of being discharged. ⋯ In patients who have had strokes, HGS independently predicted FIM at the time of discharge and the probability of being discharged to their home. The adjusted ASM methods had less predictive value for functional and discharge outcomes.