Brown Ethan G, Josephson S Andrew, Anderson Noriko, Reid Mary, Lee Melissa, Douglas Vanja C
Department of Neurology, University of California, San Francisco, USA.
Department of Neurology, University of California, San Francisco, USA.
Geriatr Nurs. 2017 Nov-Dec;38(6):567-572. doi: 10.1016/j.gerinurse.2017.04.006. Epub 2017 May 19.
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.
住院患者谵妄通过医院工作人员的多组分干预措施会有所改善,尽管所需资源往往有限。进行风险分层以预测谵妄是帮助合理分配资源的有用的第一步,但尚未评估风险分层作为有效多组分途径一部分的表现。我们回顾性研究了一种经过验证的谵妄预测规则——AWOL评分,作为大学医院病房实际多组分谵妄护理途径的一部分的表现。我们查阅了50岁及以上患者的住院记录以寻找谵妄证据,并从护理记录中提取AWOL评分(n = 347)。所有病例的受试者工作特征曲线下面积(AUC)为0.83(95%CI 0.77 - 0.89),去除现患谵妄病例后为0.73(95%CI 0.60 - 0.85)。这种基于护理的风险分层评分只需进行最少的额外评估,作为多组分谵妄护理途径的一部分表现良好。