Contemporary Nursing

Objective To analyze the risk factors of feeding intolerance (ENFI) in ICU patients with mechanical ventilation during enteral nutrition feeding and to construct a risk prediction model. Methods This study adopted the method of convenience sampling to select 572 patients with mechanical ventilation who were hospitalized in the surgical intensive care unit of Xinjiang Uygur Autonomous Region People's Hospital from August 2023 to December 2024 as the research subjects. The included cases were divided into the ENFI group and the non-ENFI group according to whether feeding intolerance occurred, and the most risk factors were analyzed. And they were randomly assigned as the training sample set and the test sample set in a ratio of 7:3. Model 400 cases of data and establish a decision tree model; A total of 172 test data were examined, the decision tree model was tested, and the risk prediction model was constructed and verified. Results The factors leading to feeding intolerance in this group of patients included mean arterial pressure, albumin, blood glucose, the use of antibiotics, the use of sedatives and analgesics, the use of vasoconstrictors, mechanical ventilation mode, PEEP, enteral nutrition method, type of nutrient solution, pumping speed of nutrient solution, and the Angle of headstock elevation, P<0.05. The construction of a risk prediction model can accurately predict the risk of ENFI in this group of patients. Conclusion There are many risk factors leading to enteral nutrition feeding intolerance in ICU patients with mechanical ventilation, which will directly affect the recovery of patients. During the treatment of these patients, it is necessary to combine the characteristics of their diseases and do a good job in all aspects of management, and prevent ENFI.

ICU mechanical ventilation; Intolerance to enteral nutrition feeding; Risk factors; Risk prediction model; Build