Postgraduate medicine
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Postgraduate medicine · Jan 2024
Management of disease-related malnutrition: a real-world experience with a novel concentrated high-protein energy-dense oral nutritional supplement.
Despite the availability of a wide range of oral nutritional supplements (ONS) offerings, individuals with malnutrition are still struggling to meet their nutritional targets. A new concentrated and high-protein energy-dense ONS (≥2.1 kcal/mL;32 g protein/200 mL) with high-quality protein (60% whey protein) has emerged as a pivotal formula to reach the patient's energy-protein requirements, enhance compliance, and maximize stimulation of muscle protein synthesis, key factors driving better nutritional, functional, and clinical outcomes. The purpose of this article is to provide our clinical experience using this new nutritionally concentrated ONS as a therapeutic strategy for patients with DRM. ⋯ The use of this novel high-protein energy-dense formula with high-quality protein source (≥2.1 kcal/mL; 32 g protein/200 mL; 60% whey protein) overcome common practical challenges in the medical nutrition therapy of patients with DRM, either because these patients require a highly concentrated formulation to meet nutritional requirements due to loss of appetite, lack of interest in food, and high caloric-protein needs due to disease, and a large quantity and quality of protein to optimize muscle recovery due to sarcopenia, common in patients with moderate-severe malnutrition.
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Postgraduate medicine · Jan 2024
Safety and efficacy results of percutaneous renal stent implantation in patients with acute coronary syndrome with ectatic and aneurysmatic coronary arteries.
For the treatment of stenotic lesions developing in dilated coronary arteries, it is difficult to find an appropriately sized coronary stent given that the vessel diameter is too large. This poses a greater problem, especially in patients who require urgent intervention, such as acute coronary syndrome. ⋯ This study has been registered on ClinicalTrials.gov (NCT05410678).
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Postgraduate medicine · Jan 2024
Machine learning-based risk prediction of hypoxemia for outpatients undergoing sedation colonoscopy: a practical clinical tool.
Hypoxemia as a common complication in colonoscopy under sedation and may result in serious consequences. Unfortunately, a hypoxemia prediction model for outpatient colonoscopy has not been developed. Consequently, the objective of our study was to develop a practical and accurate model to predict the risk of hypoxemia in outpatient colonoscopy under sedation. ⋯ Our study selected the XGBoost as the first model especially for colonoscopy, with over 95% accuracy and excellent specificity. The XGBoost includes four variables that can be quickly obtained. Moreover, an online prediction practical tool has been provided, which helps screen high-risk outpatients with hypoxemia swiftly and conveniently.