Systematicevaluation of risk prediction models for enteral feeding intolerance in ICU patients
Objective To systematically evaluatethe risk prediction model of enteral feeding intolerance(FI)in ICU patients.Methods The literatures related to the topic were searched by computer inCNKI,Wanfang Data,CBM,PubMed,CINAHL,Embase,Web of science,Cochrane Library,and Medline,and the search period was from establishment of the databaseto July 1,2023.Two researchers independently screened the literature and ex-tracted the data,and then evaluated the quality of the literature.Results A total of 9 studies on the risk prediction model of enteral FI in ICU patientswere included,with a total of 13 prediction models.The area under the ROC curve o of the models or index C ranged from 0.70 to 0.921.The overall risk of bias in 9 studies were high,and the appli-cability in 4 studies wasgood,which was mainly due to failure to select appropriate data sources,unreasonable sam-ple sizes,failure to reportmissing data and processing methods,screening predictors based on univariate analysis,and lack of model performance evaluation.The predictors included in the multivariate model were mostly age,albu-min,APACHE Ⅱ score,mechanical ventilation,fasting blood glucose,and start enteral nutrition time,etc.Conclu-sion The study of risk prediction model of enteral FI in ICU patients is still in the preliminary development stage,and the models still have a high risk of bias.In the Future,studies should standardize the report modeling process and further verify the applicability and feasibility of the model in clinical practice,so asto provide certain references-for the development of relevant prevention strategies.
万方数据
维普
