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基于 CAM 定义的谵妄 3 分钟诊断访谈的临床决策支持系统的准确性:一项验证研究。

Accuracy of a clinical decision support system based on the 3-minute diagnostic interview for CAM-defined delirium: A validation study.

机构信息

School of Nursing, Beijing University of Chinese Medicine, 100105, Beijing, China; School of Nursing, Capital Medical University, 100069, Beijing, China.

School of Nursing, Capital Medical University, 100069, Beijing, China.

出版信息

Geriatr Nurs. 2023 Sep-Oct;53:255-260. doi: 10.1016/j.gerinurse.2023.07.021. Epub 2023 Aug 19.

DOI:10.1016/j.gerinurse.2023.07.021
Abstract

OBJECTIVE

To evaluate the accuracy of the 3D-DST for delirium assessment in older adults by the nurse researcher.

METHODS

The 3D-DST was administered by a trained nurse researcher to assess delirium among eligible older adults (aged ≥70 years). The criteria for identifying delirium was based on the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-V).

RESULTS

A total of 95 older adults were enrolled in the current study, and 23 patients were identified as positive for delirium by the psychiatrist. The sensitivity and specificity of the 3D-DST were 96% and 94%, respectively. High sensitivities of the 3D-DST were also observed among patients with hypoactive delirium (95%) and those with cognitive impairment (93%).

CONCLUSION

The 3D-DST was demonstrated as an appropriate instrument with highly acceptable sensitivities and specificities for delirium detection in hospitalized older patients.

摘要

目的

评估护士研究员使用 3D-DST 对老年患者谵妄评估的准确性。

方法

由经过培训的护士研究员使用 3D-DST 对符合条件的老年患者(年龄≥70 岁)进行谵妄评估。根据《精神障碍诊断与统计手册》第 5 版(DSM-V)来确定谵妄的标准。

结果

共有 95 名老年人参与了本研究,其中 23 名患者被精神科医生诊断为患有谵妄。3D-DST 的灵敏度和特异性分别为 96%和 94%。在患有低活动型谵妄(95%)和认知障碍(93%)的患者中,3D-DST 的灵敏度也较高。

结论

3D-DST 是一种合适的工具,用于检测住院老年患者的谵妄,具有高度可接受的灵敏度和特异性。

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引用本文的文献

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Effect of the clinical decision assessment system on clinical outcomes of delirium in hospitalized older adults: study protocol for a pair-matched, parallel, cluster randomized controlled superiority trial.临床决策评估系统对住院老年患者谵妄临床结局的影响:一项配对、平行、集群随机对照优效性试验的研究方案。
Trials. 2023 Sep 11;24(1):581. doi: 10.1186/s13063-023-07607-3.