OBJECTIVES: Delirium is an underdiagnosed, severe and costly disorder, and 30%-40% of cases can be prevented. A fully automated model to predict delirium (DEMO) in older people has been developed, and the objective of this study is to validate the model in a hospital setting.SETTING: Secondary care, one hospital with two locations.DESIGN: Observational study.PARTICIPANTS: The study included 450 randomly selected patients over 60 years of age admitted to Zuyderland Medical Centre. Patients who presented with delirium on admission were excluded.PRIMARY OUTCOME MEASURES: Development of delirium through chart review.RESULTS: A total of 383 patients were included in this study. The analysis was performed for delirium within 1, 3 and 5 days after a DEMO score was obtained. Sensitivity was 87.1% (95% CI 0.756 to 0.939), 84.2% (95% CI 0.732 to 0.915) and 82.7% (95% CI 0.734 to 0.893) for 1, 3 and 5 days, respectively, after obtaining the DEMO score. Specificity was 77.9% (95% CI 0.729 to 0.882), 81.5% (95% CI 0.766 to 0.856) and 84.5% (95% CI 0.797 to 0.884) for 1, 3 and 5 days, respectively, after obtaining the DEMO score.CONCLUSION: DEMO is a satisfactory prediction model but needs further prospective validation with in-person delirium confirmation. In the future, DEMO will be applied in clinical practice so that physicians will be aware of when a patient is at an increased risk of developing delirium, which will facilitate earlier recognition and diagnosis, and thus will allow the implementation of prevention measures.

geriatric medicine, psychiatry
dx.doi.org/10.1136/bmjopen-2017-016654, hdl.handle.net/1765/109306
BMJ Open
Erasmus MC: University Medical Center Rotterdam

Mestres Gonzalvo, C. (Carlota), de Wit, H.A.J.M. (Hugo A J M), van Oijen, B.P.C. (Brigit P C), Deben, D.S. (Debbie S.), Hurkens, K.P.G.M. (Kim P G M), Mulder, W.J. (Wubbo J.), … van der Kuy, P.-H.M. (Paul-Hugo M). (2017). Validation of an automated delirium prediction model (DElirium MOdel (DEMO)): an observational study. BMJ Open, 7(11). doi:10.1136/bmjopen-2017-016654