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Comparative Study Observational Study
Improved detection of delirium, implementation and validation of the CAM-ICU in elderly Emergency Department patients.
- Evelien K Van de Meeberg, Suzanne Festen, Marieke Kwant, Rita R Georg, Gerbrand J Izaks, and Jan C Ter Maaten.
- Departments of aEmergency Medicine bGeriatrics, University Medical Center Groningen, Groningen, University of Groningen, The Netherlands.
- Eur J Emerg Med. 2017 Dec 1; 24 (6): 411-416.
ObjectiveTo evaluate the effect of routine use of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) on the diagnosis rate of delirium in elderly Emergency Department (ED) patients and the validity of the CAM-ICU in the ED setting.MethodsThis was a prospective observational study in a tertiary care academic ED. We compared the diagnosis rate of delirium before implementation of the CAM-ICU, without routine use of a screening tool, with the diagnosis rate after implementation of the CAM-ICU. All consecutive patients aged 70 years or older were enrolled. The diagnosis rate before implementation was based on chart review and after implementation on a positive CAM-ICU score. In a subsample, the presence of delirium was evaluated independently according to the Diagnostic and Statistical Manual of Mental Disorders, 4th ed., text revision (DSM-IV-TR) criteria to assess the validity of the CAM-ICU.ResultsThe total study population included 968 patients: 490 before and 478 after implementation of the CAM-ICU. The two groups were not significantly different in patient characteristics. Before implementation of the CAM-ICU, delirium was diagnosed in 14 patients (3%) and after implementation in 48 patients (10%) (P<0.001). The sensitivity of the CAM-ICU for delirium in the ED setting was 100%, specificity was 98%, positive predictive value was 92%, and negative predictive value was 100%.ConclusionThe diagnosis rate of delirium after implementation of the CAM-ICU was three-fold higher than before. The CAM-ICU is a reliable screening tool in the ED, with high sensitivity, specificity, and positive and negative predictive value.
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