Feeding Intolerance Risk Prediction Model in Patients With Enteral Nutrition Through Nasogastric Tube
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 442
- 主要终点
- Feeding intolerance
研究概览
简要总结
To explore the risk factors of enteral feeding intolerance in critically ill patients, build a risk prediction model and verify it, in order to provide reference for early identification and screening of high-risk groups
详细描述
Based on the previous literature study, the risk factors of enteral feeding intolerance in critically ill patients were obtained, and the general demographic, disease and treatment information of patients were collected. Four machine learning algorithms, namely traditional logistic regression, random forest, support vector machine and naive Bayes, were used to construct risk prediction models, and the optimal model was selected and verified by comparing the model performance
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •The nutritional status of the patient is assessed by the doctor and the need for enteral nutrition is determined;Patients with first nasogastric tube insertion and successful enteral feeding;There was no gastrointestinal discomfort before enteral nutrition;Patients (or family members) authorized to participate in this study and signed informed consent
排除标准
- •Previous gastrointestinal disease or gastrointestinal surgery;enteral nutrition through gastrostomy tube or jejunostomy tube;discontinuation or suspension of enteral nutrition for special reasons other than feeding intolerance;Patients with serious lack of clinical data
结局指标
主要结局
Feeding intolerance
时间窗: Follow-up was considered complete when the patient reached 7 days of enteral nutrition, the patient was transferred from the ICU, or the patient experienced nutritional interruption for other reasons
Any symptoms of gastrointestinal adverse reactions are defined as feeding intolerance
次要结局
未报告次要终点
研究者
Xiao Jie Chen
Nurse
RenJi Hospital