Nutrition
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Dietary capsaicin from spicy foods has potential benefits for those with cardiometabolic diseases (CMDs). However, to our knowledge there is no evidence linking spicy food consumption with cardiovascular outcomes in individuals with diabetes. The aim of this study was to explore the association between spicy food consumption and the incidence of major adverse cardiovascular events (MACEs) in individuals with diabetes from the CKB (China Kadoorie Biobank) study and to provide evidence-based dietary recommendations for those with CMDs. ⋯ This cohort study revealed that the consumption of spicy food was independently associated with a reduced incidence of adverse cardiovascular events in Chinese adults with diabetes, suggesting a beneficial effect on cardiovascular health. Further studies are needed to confirm the association between the consumption of different doses of spicy food and cardiovascular outcomes and the exact mechanism of action.
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The introduction of ChatGPT has sparked enormous public interest in large language (deep-learning) models, which have been sophisticated enough to perform well on a variety of tasks. One way people are using these models is to construct diets. The prompts often include food restrictions that are an obligatory part of everyday life for millions of people worldwide. ⋯ More common errors involve inaccuracies in portions or calories of food, meals, or diets. We discuss here how the accuracy of large language models could be increased and the trade-offs involved. We propose that prompting for elimination diets can serve as one way to assess differences between such models.
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The energy demands of individuals with cystic fibrosis (CF) vary depending on pancreatic function, body composition, lung function, and clinical status. In clinical practice, predictive equations are used to determine energy requirements yet do not reliably account for these factors. Research regarding energy requirements during CF pulmonary exacerbation (CFPEx) and clinical stability is conflicting. The aim of this study was to investigate potential within-individual changes in measured resting energy expenditure (mREE) using indirect calorimetry (IC) at the commencement and completion of intravenous antibiotic treatment (IVABx) for CFPEx and during clinical stability. Secondary aims were to investigate potential differences between predicted resting energy expenditure (pREE) using Schofield equation and correlations between clinical factors with mREE. ⋯ The mREE remained stable during CFPEx and clinical stability. The pREE underestimated mREE and application of injury factor adjustment of 110% to 130% could potentially account for this discrepancy. The potential role of IC and body composition in individualizing CF nutritional assessment and prescription requires further exploration.
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Muscular involvement in long-term type 1 diabetes: Does it represent an underestimated complication?
Structural, metabolic, and functional signs of skeletal muscle damage have been identified in individuals affected by type 1 diabetes (T1D), but, to our knowledge, no guidelines for the diagnosis and treatment of muscle impairment exist and studies on T1D and muscle health remain limited. The aim of this study was to evaluate the prevalence of sarcopenia in a long-term T1D population and to assess the effects of some clinical parameters on muscle mass and function. ⋯ We observed a high prevalence of low muscle mass, similar to those found in the older age groups of the general population (25 years in advance) and our findings suggest a possible pathogenetic role of T1D duration on muscle trophism and function.
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Review Meta Analysis
Prognostic value of temporal muscle thickness, a novel radiographic marker of sarcopenia, in patients with brain tumor: A systematic review and meta-analysis.
Sarcopenia has been identified as a prognostic factor among certain types of cancer. However, it is unclear whether there is prognostic value of temporalis muscle thickness (TMT), a potential surrogate for sarcopenia, in adults patients with brain tumors. Therefore, we searched the Medline, Embase, and PubMed to systematically review and meta-analyze the relationship between TMT and overall survival, progression-free survival, and complications in patients with brain tumors and the hazard ratio (HR) or odds ratios (OR), and 95% confidence interval (CI) were evaluated. ⋯ Sub-analyses showed that the association existed for both primary brain tumors (HR, 2.02; 95% CI, 1.55-2.63) and brain metastases (HR, 1.39; 95% CI, 1.30-1.49). Moreover, thinner TMT also was the independent predictor of progression-free survival in patients with primary brain tumors (HR, 2.88; 95% CI, 1.85-4.46; P < 0.01). Therefore, to improve clinical decision making it is important to integrate TMT assessment into routine clinical settings in patients with brain tumors.