Research progress in the Delirium Risk Prediction Models of post-operative patients in ICU
10.3760/cma.j.cn211501-20191227-03846
- VernacularTitle:ICU术后谵妄风险预测模型的研究进展
- Author:
Xiangping CHEN
1
;
Yiyu ZHUANG
;
Lijie QIAO
;
Yuewen LAO
;
Yi ZHANG
;
Feixia WU
Author Information
1. 浙江大学医学院附属邵逸夫医院重症医学科，杭州 310016
- From:
Chinese Journal of Practical Nursing
2020;36(24):1917-1921
- CountryChina
- Language:Chinese
-
Abstract:
Regular assessment is a key to early detect and treat delirium. However, studies showed poor compliance and accuracy of delirium assessment by nurses. Moreover, delirium was characterized by acute onset and fluctuation of cognition. Therefore, delirium was frequently unrecognized. Postoperative delirium incidence in the intensive care unit was high and associated with poor outcome. Studies demonstrate delirium was preventable. Delirium prediction models were warranted to identify high-risk critically ill patients in order to apply preventive strategies. This article was to provide an overview of postoperative delirium and review postoperative delirium prediction models for surgical patients in the intensive care unit, thereby providing reference for development, validation as well as application of models in China.
