eISSN 2097-6046
ISSN 2096-7446
CN 10-1655/R
Responsible Institution:China Association for Science and Technology
Sponsor:Chinese Nursing Association

Chinese Journal of Emergency and Critical Care Nursing ›› 2023, Vol. 4 ›› Issue (6): 562-568.doi: 10.3761/j.issn.2096-7446.2023.06.016

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Research progress on risk prediction model of enteral nutrition feeding intolerance in adult ICU patients

BAO Yiping, ZHANG Ling, YU Zhenliang   

  • Received:2022-10-12 Online:2023-06-10 Published:2023-06-01

Abstract: Adult ICU patients have a high risk of enteral nutrition intolerance. It not only increases the difficulty of nursing,but also increases the risk of death and seriously affects the clinical outcome. This paper reviews the research on risk prediction models of enteral nutrition intolerance in adult ICU patients,introduces the risk prediction model overview,Logistic regression model,nomogram model,deep learning model,prediction value,function and application effects of risk prediction model,in order to provide reference for the correct selection and application of the model for clinical medical staff,and to optimize the management of feeding intolerance practice.

Key words: Enteral Nutrition, Feeding Intolerance, Forecasting, Risk Factors, Critical Care Nursing