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开发一种用于长期护理机构的谵妄风险筛查工具。

Development of a delirium risk screening tool for long-term care facilities.

机构信息

St Mary's Research Centre, St Mary's Hospital, Montreal, Quebec, Canada.

出版信息

Int J Geriatr Psychiatry. 2012 Oct;27(10):999-1007. doi: 10.1002/gps.2812. Epub 2012 Feb 27.

Abstract

OBJECTIVE

The aim of this study is to develop a delirium risk screening tool for use in long-term care (LTC) facilities.

METHODS

The sample comprised residents aged 65 years and over of seven LTC facilities in Montreal and Quebec City, Canada, admitted for LTC. Primary analyses were conducted among residents without delirium at baseline. Incident delirium was diagnosed using multiple data sources during the 6-month follow-up. Risk factors, all measured at or prior to baseline, included the following six groups: sociodemographic, medical, cognitive status, physical function, agitated behavior, and symptoms of depression. Variables were analyzed individually and by group using Cox regression models. Clinical judgment was used to select the most feasible among similarly performing factors.

RESULTS

The cohort comprised 206 residents without delirium at baseline; 69 cases of incident delirium were observed (rate 7.6 per 100 person weeks). The best-performing screening tool comprised five items, with an overall area under the curve of 0.82 (95% CI 0.76, 0.88). These items included brief measures of cognitive status, physical function, behavioral, and emotional problems. Using cut-points of 2 (or 3) over 5, the scale has a sensitivity of 90% (63%), specificity of 59% (85%), and positive predictive value of 52% (66%).

CONCLUSIONS

This brief screening tool allows nurses to identify LTC residents at increased risk for delirium. These residents can be targeted for closer monitoring and preventive interventions.

摘要

目的

本研究旨在开发一种用于长期护理(LTC)机构的谵妄风险筛查工具。

方法

该样本包括来自加拿大蒙特利尔和魁北克市的七家 LTC 机构的年龄在 65 岁及以上、入住 LTC 的居民。主要分析是在基线时无谵妄的居民中进行的。在 6 个月的随访期间,使用多种数据源诊断出谵妄事件。在基线或之前测量的所有风险因素,包括以下六组:社会人口统计学、医学、认知状态、身体功能、激越行为和抑郁症状。使用 Cox 回归模型分别对个体和组变量进行分析。临床判断用于选择表现相似的最可行因素。

结果

队列包括 206 名基线时无谵妄的居民;观察到 69 例谵妄事件(发生率为 7.6 例/100 人周)。表现最佳的筛查工具包括 5 个项目,总体曲线下面积为 0.82(95%CI 0.76,0.88)。这些项目包括认知状态、身体功能、行为和情绪问题的简短测量。使用 5 分中的 2 分(或 3 分)作为切点,该量表的敏感性为 90%(63%),特异性为 59%(85%),阳性预测值为 52%(66%)。

结论

这种简短的筛查工具可让护士识别出患有谵妄风险较高的 LTC 居民。这些居民可以作为重点监测和预防干预的对象。

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