Validation of a medical record-based delirium risk assessment

基于病历的谵妄风险评估的验证

阅读:1

Abstract

OBJECTIVES: To improve identification of patients at high risk for delirium, this study developed a chart abstraction tool for delirium risk and validated the tool against clinical expert diagnosis of delirium. DESIGN: Prospective cohort study. SETTING: Tertiary Veterans Affairs hospital in New England. PARTICIPANTS: One hundred veterans admitted to the medical service. MEASUREMENTS: While admitted, each participant underwent serial assessments for delirium by a clinical expert. Using the four criteria of a validated delirium prediction rule (cognitive impairment, sensory deficit, severe illness, and dehydration), chart review terms were selected for each criterion, and delirium risk was the sum of criteria present (range: 0-4; 4 = worst). After discharge, a nurse blinded to the expert's diagnosis completed the chart tool. RESULTS: The participants were mostly male (94%) and older (mean age 81 ± 7), and 23% developed overall delirium (14% incident). The rate of overall delirium was 11% in participants with zero risk factors, 18% in those with one or two, and 50% in those with three or four (P = .01; c-statistic 0.65, 95% confidence interval (CI) = 0.54-0.76). For incident delirium, the rates were 11%, 13%, and 25%, respectively (P = .53; c-statistic 0.56, 95% CI = 0.42-0.74). Discharge to a rehabilitation center or nursing home increased with increasing delirium risk (0%, 18%, 60%, P = .02). CONCLUSION: A chart abstraction tool was effective at identifying overall delirium risk but not incident delirium risk. Although the tool cannot replace clinical assessment and diagnosis of delirium, the use of this tool as an educational, clinical, or quality measurement aid warrants additional study.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。