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Commentary on: Ma R, Zhao J, Li C, Qin Y, Yan J, Wang Y, Yu Z, Zhang Y, Zhao Y, Huang B, Sun S, Ning X. Diagnostic accuracy of the 3-minute diagnostic interview for confusion assessment method-defined delirium in delirium detection: a systematic review and meta-analysis. Age Ageing. 2023 May 1;52(5):afad074. doi: 10.1093/ageing/afad074.
Implications for practice and research
For practice: The study emphasises timely delirium recognition and management to mitigate adverse outcomes. The 3D-CAM emerges as a practical and accurate tool for delirium detection, facilitating clinicians to promptly initiate interventions.
For research: Future research should validate its performance in specific populations and comparing it with other diagnostic tools to optimise delirium detection strategies.
Context
The study1 underscores the critical need for timely recognition and management of delirium, highlighting the 3D-CAM as a practical and accurate detection tool in healthcare. Despite its impact, a considerable portion of delirium cases remains undetected.2 This study centres …
Footnotes
Competing interests None declared.
Provenance and peer review Commissioned; internally peer reviewed.