主管:国家卫生健康委员会
主办:国家卫生计生委医院管理研究所
中国科学引文数据库(CSCD)来源期刊
中国科技论文统计源期刊 中国科技核心期刊
《中文核心期刊要目总览》入选期刊

Chinese Nursing Management ›› 2023, Vol. 23 ›› Issue (3): 431-437.doi: 10.3969/j.issn.1672-1756.2023.03.020

• Evidence-based Nursing • Previous Articles     Next Articles

Prediction models for Post-intensive Care Syndrome: a systematic review

LIANG Shiyu, LI Chenyang, SHAO Lewen   

  1. Nursing Department, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China
  • Online:2023-03-15 Published:2023-03-15
  • Contact: E-mail:951109@zju.edu.cn

Abstract: Objective: To systematically review the relevant studies on risk prediction models for Post-intensive Care Syndrome (PICS). Methods: We searched Chinese and English databases for the eligible studies, which included prediction models or tools about post-ICU physical, psychological and cognitive impairment. The literature retrieval date was limited from 1st January, 2010 to 8th March, 2022. Two researchers independently screened the literature and extracted information. Then risk of bias and applicability were assessed by using the Prediction Model Risk of Bias Assessment Tool. Results: Of 2336 screened studies, ten studies met inclusion. The AUC of ten models were 0.68-0.91. The applicability of all studies was good, but there was some risk of bias. Conclusion: The research on prediction for PICS is still in the preliminary stage of development. There are several suggestions for future studies, including externally verifying the existing model, introducing and localizing the risk prediction models in the domain of physical and psychological.

Key words: Intensive Care Unit; Post-intensive Care Syndrome; prediction; prediction model; systematic review

CLC Number: R47;R197