• Mu-Hsing Ho, Kee-Hsin Chen, Jed Montayre, Megan F Liu, Chia-Chi Chang, Victoria Traynor, Shu-Tai Shen Hsiao, Hui-Chen Rita Chang, and Hsiao-Yean Chiu.
• Department of Nursing, Taipei Medical University Hospital, 252 Wuxing Street, Xinyi District, Taipei 11031, Taiwan; School of Nursing, Faculty of Science, Medicine and Health, University of Wollongong, Northfields Ave, Wollongong, NSW 2522, Australia; Illawarra Health and Medical Research Institute (IHMRI), Northfields Ave, Wollongong, NSW 2522, Australia. Electronic address: mhh838@uowmail.edu.au.
• Intensive Crit Care Nurs. 2020 Apr 1; 57: 102784.

ObjectivesTo review and examine the evidence on diagnostic test accuracy of PRE-DELIRIC (PREdiction of DELIRium in ICu patients) for predicting delirium risk in critically ill patients.Research MethodologyThis meta-analysis included studies reporting the diagnostic performance of PRE-DELIRIC between 2012 and 2019. The Cochrane Library, MEDLINE, Embase, CINAHL and Chinese Electronic Periodical Services databases were searched for eligible diagnostic studies. Risk of bias was assessed using a standard procedure according to the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) criteria.ResultsWe included seven studies involving a total of 7941 critically ill patients in intensive care units settings. Results indicated that PRE-DELIRIC had a summary sensitivity of 0.76 (95% CI 0.60-0.87), and specificity of 0.66 (95% CI 0.45-0.82), suggesting that diagnostic performance of PRE-DELIRIC is useful to predict delirium risk in ICU patients. The area under the summary receiver operator characteristics (SROC) curve was 0.78 (95% CI 0.74-0.81), which also confirmed good accuracy of PRE-DELIRIC.ConclusionWe suggest that the PRE-DELIRIC model can be applied in the intensive care unit according to its good diagnostic test accuracy. However, this finding should be interpreted with caution due to the heterogeneity of this meta-analysis.Copyright © 2019 Elsevier Ltd. All rights reserved.

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