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.
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.
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。
Zotero 插件