Related Experiment Videos
Machine Learning-Driven Prediction of Early Enteral Nutrition Intolerance in ICU Patients Using Intra-Abdominal
Kaihui Zheng1, Xuena Zhang1, Lishi Qu2
11Department of Critical Care Medicine, Wenzhou Central Hospital, Wenzhou, China.
Polish Journal of Microbiology
|August 6, 2026
Summary
A new machine learning model combining intra-abdominal pressure and gut microbes accurately predicts early enteral nutrition intolerance in ICU patients. This tool aids in forecasting and managing intolerance in critical care settings.
Area of Science:
- Critical Care Medicine
- Machine Learning Applications
- Gut Microbiome Research
Background:
- Enteral nutrition is crucial for critically ill patients but intolerance is common.
- Early identification of enteral nutrition intolerance (EENI) is vital for effective patient management.
- Current methods for predicting EENI have limitations.
Purpose of the Study:
- To develop and validate a machine learning model for early identification of EENI.
- To integrate intra-abdominal pressure (IAP) and gut microbial data for prediction.
- To assess the model's performance and clinical utility.
Main Methods:
- A cohort study of 300 ICU patients receiving early enteral nutrition.
- Collected data included clinical characteristics, IAP, laboratory indices, and gut microbial taxa.
- Used LASSO regression for feature selection and multivariable logistic regression for model development, presented as a nomogram.
Main Results:
- The incidence of EENI was 49%.
- The model identified 16 significant predictors, including IAP and specific gut microbial genera (e.g., Enterococcus, Bacteroides).
- The model demonstrated high predictive performance (AUC 0.900) with good calibration and clinical utility.
Conclusions:
- A machine learning model integrating IAP and gut microbial markers effectively predicts EENI in ICU patients.
- The model shows strong predictive performance and clinical potential for managing EENI.
- This approach offers a novel strategy for early EENI detection and management.
Related Concept Videos
01:21Microbiota Modulation by Antibiotics
Antibiotics have revolutionized modern medicine by saving countless lives from bacterial infections. However, their widespread use has inadvertently harmed the delicate balance of the human gut microbiota. The gut microbiota, a complex community of bacteria, archaea, viruses, and fungi, plays a vital role in regulating metabolism, immune responses, and maintaining intestinal health. Antibiotics, especially broad-spectrum types, disrupt this ecosystem by eradicating both harmful and beneficial...
01:23Anatomy of the Intestines
Although digestion of proteins, carbohydrates, and lipids may begin in the stomach, it is completed in the intestine. The absorption of nutrients, water, and electrolytes from food and drink also occurs in the intestine. The intestines can be divided into two structurally distinct organs—the small and large intestines.
Small Intestines
The small intestine is an ~7 meter-long tube with an inner diameter of just 2.5 cm. Since most nutrients are absorbed here, the inner lining of the small...
Small Intestines
The small intestine is an ~7 meter-long tube with an inner diameter of just 2.5 cm. Since most nutrients are absorbed here, the inner lining of the small...