Validity and predictability of the confusion assessment method for the intensive care unit for delirium among critically ill patients in the intensive care unit: A systematic review and meta‐analysis

Author:

Zhang Yue123,Diao Dongmei123ORCID,Zhang Hao123,Gao Yongli123

Affiliation:

1. Department of Emergency Medicine, West China Hospital, Sichuan University/West China School of Nursing Sichuan University Chengdu China

2. Disaster Medical Center Sichuan University Chengdu China

3. Nursing Key Laboratory of Sichuan Province Chengdu China

Abstract

AbstractObjectiveTo identify the validity and predictability of the confusion assessment method for the intensive care unit (CAM‐ICU) for delirium in critically ill patients in the ICU.MethodsIn this systematic review, PubMed, Embase, Cochrane Central Register of Controlled Trials, and MEDLINE databases were searched for observational studies investigating delirium screening tools for ICU patients. In the meta‐analysis, we combined the sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and area under the curve (AUC) of SROC to analysis the predictive value of CAM‐ICU.ResultsTwenty‐nine articles met the inclusion criteria. The pooled sensitivity and specificity values were 0.82 (95% confidence interval [CI]: 0.75–0.87) and 0.95 (95% CI: 0.93–0.97), respectively. The AUC point estimate of the SROC curve was 0.96 (95% CI: 0.94–0.97). Race (Asian or Others) could affect the pooled sensitivity and specificity, and the analysis method (Patient‐ or Scan‐based) and study design were not sources of heterogeneity for pooled sensitivity and specificity.ConclusionsThe CAM‐ICU is a valid and reliable tool for delirium prediction among ICU patients. When introducing CAM‐ICU to assess delirium, it is necessary to localize its language and content to improve its predictive efficacy in different countries and different ethnic groups.Relevance to Clinical PracticeIn clinical practice, nurses can use CAM‐ICU to evaluate delirium in critically ill patients in ICU. However, it is necessary to debug the language and content according to the application population.

Publisher

Wiley

Subject

Critical Care Nursing

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