Nutrition
-
Malnutrition, particularly wasting, continues to be a significant public health issue among children under five years in Egypt. Despite global advancements in child health, the prevalence of wasting remains a critical concern. This study employs machine learning techniques to identify and analyze the determinants of wasting in this population. ⋯ Machine learning techniques, particularly XGBoost, show significant potential for improving the classification of nutritional status and addressing wasting among children in Egypt. However, the limitations in simpler models highlight the need for further research to refine predictive tools and develop targeted interventions. Addressing the identified determinants of wasting can contribute to more effective public health strategies.
-
We aimed to explore the predictive significance of the nutritional indexes in the occurrence of postoperative leakage after gastrectomy, aiming to develop and validate a predictive nomogram for assessing the risk of these complications. ⋯ The nomogram offers an efficient and precise tool for initial screening, effectively identifying individuals at elevated risk for postoperative leakage.
-
Nutrition is closely related to the occurrence of sarcopenia. Evidence shows that sarcopenia has a serious impact on population health and the social economy. Geriatric Nutritional Risk Index (GNRI) is a useful prognostic predictor for several chronic diseases. Our original intention was to investigate whether GNRI correlates with sarcopenia. ⋯ GNRI is a reliable predictor of sarcopenia in Americans aged 45 and older, with a nonlinear inverse relationship identified at a threshold GNRI of 91.935.
-
The present study aimed to compare measured and estimated resting metabolic rate (RMR) predicted by selected equations in patients with nonactive inflammatory bowel disease (IBD) on an outpatient university clinic regimen. ⋯ Among the equations analyzed, only Anjos et al.'s accurately estimated RMR in outpatients with nonactive IBD. However, caution is advised when applying it at the individual level, due to the wide observed LoA.
-
The interaction between lifestyle--defined more specifically in health care as the personal exposome--and its implications on obesity and breast cancer development highlights the critical role of body composition and inflammation in these patients. There is clear evidence that the personal and internal exposome triggers biochemical, inflammatory, and metabolic reprogramming, which might favor ectopic lipid accumulation within the body, such as muscles. Additionally, the presence of excessive adipose tissue exacerbates these alterations in the internal exposome, resulting in cell damage and modifying body composition. ⋯ In addition, PhA is a potential indicator of nutritional status and disease prognosis, as it has been linked to survival and quality of life in patients with cancer. Therefore, PhA might be used in daily oncology practice to implement an accurate nutritional intervention, reducing side effects and complications of oncology management, and improving quality of life during treatment and survival, even in patients with breast cancer with obesity or overweight. The aim of this review is to analyze the existing information on the current application of PhA in patients with breast cancer and its potential use as a tool to assess inflammatory response, identify malnutrition, and predict the deterioration of quality of life so that it could be proposed as an early indicator for nutritional interventions in this group of patients.