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开发和验证用于谵妄病因诊断支持工具。

Development and validation of an aetiology in delirium diagnostic support tool.

机构信息

Internal Medicine Services, The Prince Charles Hospital, Brisbane, Queensland, Australia.

Northside Clinical School, School of Medicine, University of Queensland, Brisbane, Australia.

出版信息

Age Ageing. 2021 Jun 28;50(4):1402-1405. doi: 10.1093/ageing/afaa269.

Abstract

BACKGROUND

recognition of the multifactorial causes of delirium represents a clinical challenge.

OBJECTIVES

to develop and show proof of principle of a diagnostic support tool (DST) for identification of causes of delirium.

METHODS

stage 1-development of the aetiology in delirium-diagnostic support tool (AiD-DST); stage 2-validation of the AiD-DST against reference standard diagnosis, based on clinical assessment from two independent consultant geriatricians.

RESULTS

a series of eight steps AiD-DST were formulated by an expert group to identify possible causes of delirium. Forty inpatients admitted to a general medical unit with a consultant physician/geriatrician diagnosis of delirium were recruited, consented and reviewed against the AiD-DST. Mean age was 85.1 (standard deviation 7.9) years and 26 (65%) of participants were female. Participants had multiple chronic co-morbidities [median Charlson Comorbidity Index 7; interquartile range (IQR 6-9)] and median number of medications was 8 (IQR 6-11.75). Median number of causes of delirium detected on AiD-DST was 3 (IQR 3-4) versus 5 (IQR 3-6) using the reference standard diagnosis, with sensitivity of 88.8% (95% confidence interval, 81.6-93.9%) and specificity of 71.8% (63-79.5%).

CONCLUSIONS

the aetiology in delirium DST shows promise in the identification of cause(s) in delirium.

摘要

背景

认识到谵妄的多因素病因是临床挑战。

目的

开发并展示一种用于识别谵妄病因的诊断支持工具(DST)的原理验证。

方法

第 1 阶段-谵妄病因诊断支持工具(AiD-DST)的开发;第 2 阶段-基于两位独立顾问老年病学家的临床评估,对 AiD-DST 进行参考标准诊断的验证。

结果

专家组制定了一系列八项步骤的 AiD-DST,以确定谵妄的可能病因。共招募了 40 名因谵妄而被收入普通内科的住院患者,征得同意并根据 AiD-DST 进行了评估。参与者的平均年龄为 85.1 岁(标准差 7.9),26 名(65%)为女性。参与者患有多种慢性合并症[Charlson 合并症指数中位数为 7;四分位距(IQR 6-9)],中位数服用药物数量为 8 种(IQR 6-11.75)。使用参考标准诊断,AiD-DST 检测到的谵妄病因中位数为 3 个(IQR 3-4),而参考标准诊断为 5 个(IQR 3-6),灵敏度为 88.8%(95%置信区间,81.6-93.9%),特异性为 71.8%(63-79.5%)。

结论

谵妄病因 DST 在识别谵妄的病因方面显示出了潜力。

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