Risk prediction models of refeeding syndrome in ICU patients:a review of literature
10.3969/j.issn.1671-332X.2024.02.042
- VernacularTitle:ICU患者再喂养综合征风险预测模型的研究进展
- Author:
Shuai YANG
1
;
Hongjing YU
;
Jiaxin HE
;
Xiaodie ZHANG
;
Xiaomei YE
;
Wei GUO
;
Jingda PAN
;
Donglan LING
Author Information
1. 广州医科大学附属第二医院 广东广州 510260
- Keywords:
Refeeding syndrome;
Critically ill patients;
Risk prediction model;
Review
- From:
Modern Hospital
2024;24(2):317-319,324
- CountryChina
- Language:Chinese
-
Abstract:
Refeeding syndrome(RFS)has a high incidence among critically ill patients and significantly impacts the re-covery and prognosis of the patients.In this paper,we reviewed the literature on the risk factors and risk prediction models for RFS,finding the risk factors of RFS included patient-related,treatment-related factors and disease-related factors and the risk prediction models encompassed risk stratification model,risk score models and the Logistic regression models.It was concluded from the review that early assessment was crucial to preventing the occurrence of RFS.However,there was still a lack of reliable RFS risk prediction models with good predictive performance.It was found as well that it was crucial for the prevention of RFS to attach importance to nutritional and serological indicators and other factors.It was expected to be a necessity to conduct prospec-tive and multicenter studies to develop a risk prediction model for predicting RFS for ICU patients.Our review provides a refer-ence for early assessment and intervention for critically ill patients with RFS.
