AIMC Topic: Enteral Nutrition

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Technology advances in the placement of naso-enteral tubes and in the management of enteral feeding in critically ill patients: A narrative study.

Clinical nutrition ESPEN Aug 1, 2025
Enteral feeding needs secure access to the upper gastrointestinal tract, an evaluation of the gastric function to detect gastrointestinal intolerance, and a nutritional target to reach the patient's needs. Only in the last decades has progress been a...
Humans Critical Illness Point-of-Care Systems Ultrasonography Critical Care Electric Impedance Gastric Emptying Enteral Nutrition Intubation, Gastrointestinal
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Personalized Nutrition Strategies for Patients in the Intensive Care Unit: A Narrative Review on the Future of Critical Care Nutrition.

Nutrients May 13, 2025
Critically ill patients in intensive care units (ICUs) are at high risk of malnutrition, which can result in muscle atrophy, polyneuropathy, increased mortality, or prolonged hospitalizations with complications and higher costs during the recovery p...
Humans Precision Medicine Critical Illness Intensive Care Units Energy Intake Malnutrition Critical Care Nutritional Status Enteral Nutrition Nutritional Support Parenteral Nutrition
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Use of Machine Learning Models to Predict Microaspiration Measured by Tracheal Pepsin A.

American journal of critical care : an official publication, American Association of Critical-Care Nurses Jan 1, 2025
BACKGROUND: Enteral feeding intolerance, a common type of gastrointestinal dysfunction leading to underfeeding, is associated with increased mortality. Tracheal pepsin A, an indicator of microaspiration, was found in 39% of patients within 24 hours o...
Humans Machine Learning Biomarkers Female Aged Adult Male Middle Aged Respiration, Artificial Pepsin A Enteral Nutrition Trachea
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Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning.

Journal of digital imaging Aug 1, 2019
Assess the efficacy of deep convolutional neural networks (DCNNs) in detection of critical enteric feeding tube malpositions on radiographs. 5475 de-identified HIPAA compliant frontal view chest and abdominal radiographs were obtained, consisting of ...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Radiography Radiography, Thoracic Enteral Nutrition Radiography, Abdominal Medical Errors
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