Predicting inpatient delirium: The AWOL delirium risk-stratification score in clinical practice

摘要

Abstract Inpatient delirium improves with multicomponent interventions by hospital staff, though the resources needed are often limited. Risk-stratification to predict delirium is a useful first step to help triage resources, but the performance of risk-stratification as part of a functioning multicomponent pathway has not been assessed. We retrospectively studied the performance of a validated delirium prediction rule, the AWOL score, as a part of a multicomponent delirium care pathway in practice on a university hospital ward. We reviewed the hospitalizations of patients 50 years or older for evidence of delirium and extracted the AWOL score from nursing documentation ( n ?=?347). The area under the receiver operating characteristic curve (AUC) was 0.83 (95% CI 0.77–0.89) for all cases and 0.73 (95% CI 0.60–0.85) when cases of prevalent delirium were removed. Involving minimal additional assessment, this nursing-based risk stratification score performed well as part of a multicomponent delirium care pathway. Highlights ? Risk-stratification for predicting inpatient delirium is evaluated ? The nursing-based “AWOL” score involves minimal additional assessment time ? Brief assessment of cognition and illness are essential components of the score ? The score performed well in predicting prevalent and incident delirium ? Risk-stratification is a useful addition to a multicomponent delirium care pathway