• Age and ageing · May 2014

    Observational Study

    Development and validation of a delirium predictive score in older people.

    • Marcela P Carrasco, Luis Villarroel, Maricarmen Andrade, Jorge Calderón, and Matías González.
    • Internal Medicine, Geriatric Unit, Medical Faculty, Pontificia Universidad Católica de Chile, Santiago de Chile, RM, Chile.
    • Age Ageing. 2014 May 1;43(3):346-51.

    Backgrounddelirium is frequently under diagnosed in older hospitalised patients. Predictive models have not been widely incorporated in clinical practice.Objectiveto develop and validate a predictive score for incident delirium.Design And Settingtwo consecutive observational prospective cohorts (development and validation) in a university affiliated hospital.Subjectsinpatients 65 years and older.Methodsin the development cohort patients were assessed within the first 48 h of admission, and every 48 h thereafter, using the confusion assessment method to diagnose delirium and data were collected on comorbidity, illness severity, functional status and laboratory. Delirium predictive score (DPS) was constructed in the development cohort using variables associated with incident delirium in the multivariate analysis (P < 0.05), and then tested in a validation cohort of comparable patients, admitted without delirium. Receiver operating characteristic (ROC) analysis and likelihood ratio (LR) were calculated.Resultsthe development cohort included 374 patients, incident delirium occurred in 25. After multivariate analysis incident delirium was independently associated with lower functional status (Barthel Index) and a proxy for dehydration (elevated urea to creatinine ratio). Using these variables, DPS was constructed with a performance in the ROC curve area of 0.86 (95% CI: 0.82-0.91) and (-) LR = 0.16 and (+) LR = 3.4. The validation cohort included 104 patients and the performance of the score was ROC 0.78 (95% CI: 0.66-0.90).ConclusionsThis simple predictive model highlights functional status and a proxy for dehydration as a useful tool for identifying older patients that may benefit from close monitoring and preventive care for early diagnosis of delirium.

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