Diagnostic test accuracy meta-analysis of PRE-DELIRIC (PREdiction of DELIRium in ICu patients): A delirium prediction model in intensive care practice

Mu Hsing Ho, Kee Hsin Chen, Jed Montayre, Megan F. Liu, Chia Chi Chang, Victoria Traynor, Shu Tai Shen Hsiao, Hui Chen (Rita) Chang, Hsiao Yean Chiu

Research output: Contribution to journalReview article

Abstract

Objectives: To 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 methodology: This 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. Results: We 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. Conclusion: We 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.

Original languageEnglish
Article number102784
JournalIntensive and Critical Care Nursing
DOIs
Publication statusAccepted/In press - Dec 24 2019

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Delirium
Critical Care
Routine Diagnostic Tests
Meta-Analysis
Critical Illness
Intensive Care Units
MEDLINE
Libraries
Research Design
Databases

Keywords

  • Delirium
  • Diagnostic test
  • Meta-analysis
  • PRE-DELIRIC
  • Sensitivity and specificity

ASJC Scopus subject areas

  • Critical Care

Cite this

Diagnostic test accuracy meta-analysis of PRE-DELIRIC (PREdiction of DELIRium in ICu patients) : A delirium prediction model in intensive care practice. / Ho, Mu Hsing; Chen, Kee Hsin; Montayre, Jed; Liu, Megan F.; Chang, Chia Chi; Traynor, Victoria; Shen Hsiao, Shu Tai; Chang, Hui Chen (Rita); Chiu, Hsiao Yean.

In: Intensive and Critical Care Nursing, 24.12.2019.

Research output: Contribution to journalReview article

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abstract = "Objectives: To 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 methodology: This 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. Results: We 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. Conclusion: We 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.",
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author = "Ho, {Mu Hsing} and Chen, {Kee Hsin} and Jed Montayre and Liu, {Megan F.} and Chang, {Chia Chi} and Victoria Traynor and {Shen Hsiao}, {Shu Tai} and Chang, {Hui Chen (Rita)} and Chiu, {Hsiao Yean}",
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T2 - A delirium prediction model in intensive care practice

AU - Ho, Mu Hsing

AU - Chen, Kee Hsin

AU - Montayre, Jed

AU - Liu, Megan F.

AU - Chang, Chia Chi

AU - Traynor, Victoria

AU - Shen Hsiao, Shu Tai

AU - Chang, Hui Chen (Rita)

AU - Chiu, Hsiao Yean

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N2 - Objectives: To 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 methodology: This 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. Results: We 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. Conclusion: We 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.

AB - Objectives: To 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 methodology: This 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. Results: We 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. Conclusion: We 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.

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