养老院居民的认知变化:CogRisk-NH规模的发展,以预测衰退
John N Morris1, Elizabeth P Howard2, Erez Schachter3
1Hebrew SeniorLife, The Hinda and Arthur Marcus Institute for Aging Research, Boston, MA, USA.
Journal of the American Medical Directors Association
|July 30, 2023
概括
一个新的CogRisk-NH尺度预测了养老院居民的认知衰退. 较低的基线认知分数表明更高的风险,使得有针对性的干预措施能够提供更好的护理.
科学领域:
- 老年学是一门学科.
- 认知神经科学 认知神经科学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 认知能力下降是养老院居民的一个重大问题.
- 预测认知衰退对于资源配置和干预至关重要.
研究的目的:
- 为了检查养老院居民的认知变化随着时间的推移.
- 开发一种用于认知衰退的风险预测模型.
主要方法:
- 来自美国和加拿大养老院的大型数据集 (N=1,257,832) 的二次分析.
- 使用认知性能量表 (CPS) 来评估认知状态.
- 采用后勤回归来识别预测因素并开发CogRisk-NH尺度.
主要成果:
- 大约59%的住户在基线时有中度至严重的认知障碍.
- 认知衰退率随着时间的推移而增加,在21个月后达到34.0%.
- 认知风险-NH尺度有效地将居民分为认知能力下降的低,中等和高风险类别.
结论:
- 在最初认知功能较少受损的居民中,认知衰退率更高.
- "CogRisk-NH尺度"提供了一种经过验证的工具,用于识别有认知能力下降风险的居民.
- 这种风险分层可以指导针对性干预和养老院的资源分配.
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