{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T00:43:45Z","timestamp":1788396225880,"version":"build-2803163510"},"reference-count":39,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2023,10,31]],"date-time":"2023-10-31T00:00:00Z","timestamp":1698710400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Nursing in Critical Care"],"published-print":{"date-parts":[[2024,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Delirium is the most common psychiatric diagnosis in the intensive care unit (ICU), and 55%\u201080% of delirium cases are unrecognized and undocumented the most popular validated instruments available to diagnose delirium for critically ill patients are the Confusion Assessment Method for the ICU (CAM\u2010ICU). [Correction added on 16 October 2024, after first online publication: The Background section in Abstract has been added in this version.]<\/jats:p><\/jats:sec><jats:sec><jats:title>Aim<\/jats:title><jats:p>To identify the validity and predictability of the confusion assessment method for the intensive care unit (CAM\u2010ICU) for delirium in critically ill patients in the ICU.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Design<\/jats:title><jats:p>In 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\u2010analysis, 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\u2010ICU.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Twenty\u2010nine articles met the inclusion criteria. The pooled sensitivity and specificity values were 0.82 (95% confidence interval [CI]: 0.75\u20130.87) and 0.95 (95% CI: 0.93\u20130.97), respectively. The AUC point estimate of the SROC curve was 0.96 (95% CI: 0.94\u20130.97). Race (Asian or Others) could affect the pooled sensitivity and specificity, and the analysis method (Patient\u2010 or Scan\u2010based) and study design were not sources of heterogeneity for pooled sensitivity and specificity.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The CAM\u2010ICU is a valid and reliable tool for delirium prediction among ICU patients. When introducing CAM\u2010ICU to assess delirium, it is necessary to localize its language and content to improve its predictive efficacy in different countries and different ethnic groups.<\/jats:p><\/jats:sec><jats:sec><jats:title>Relevance to Clinical Practice<\/jats:title><jats:p>In clinical practice, nurses can use CAM\u2010ICU to evaluate delirium in critically ill patients in ICU. However, it is necessary to debug the language and content according to the application population.<\/jats:p><\/jats:sec>","DOI":"10.1111\/nicc.12982","type":"journal-article","created":{"date-parts":[[2023,10,31]],"date-time":"2023-10-31T08:30:31Z","timestamp":1698741031000},"page":"1204-1214","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["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\u2010analysis"],"prefix":"10.1111","volume":"29","author":[{"given":"Yue","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Emergency Medicine, West China Hospital, Sichuan University\/West China School of Nursing Sichuan University  Chengdu China"},{"name":"Disaster Medical Center Sichuan University  Chengdu China"},{"name":"Nursing Key Laboratory of Sichuan 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