计算机认知训练和心力衰竭24个月死亡率
The Journal of cardiovascular nursing
|July 26, 2023
概括
在24个月内,计算机认知训练并没有降低心力衰竭患者的死亡率. 然而,年龄较大,认知能力较差和抑郁症预测了这一群体的死亡率.
科学领域:
- 心脏病学 心脏病学
- 神经学 神经学
- 老年学是一门学科.
背景情况:
- 认知功能障碍是心力衰竭 (HF) 患者死亡率的重要预测因素.
- 计算机化认知训练 (CCT) 显示了潜在的认知改善,但其对高频率死亡率的影响仍然不确定.
研究的目的:
- 评估CCT在降低HF患者24个月死亡率方面的长期疗效.
- 确定24个月死亡率的预测因素,包括年龄,HF严重程度,认知功能,抑郁症状和生活质量.
主要方法:
- 一项前性纵向研究,涉及3臂随机对照试验中的142名HF患者.
- 在24个月内收集的数据,使用后勤回归分析.
主要成果:
- 在24个月内,共有16人死亡 (CCT组:8.3%,对照组:12.8%).
- CCT没有显著预测24个月死亡率 (OR,0.65).
- 死亡率的预测因素包括年龄 (OR,1.08),全球认知 (OR,0.73),记忆障碍 (OR,0.81) 和更高的抑郁症状 (OR,1.10) 在基线.
结论:
- 需要有效的干预措施来增强认知功能 (全球认知,记忆) 和管理抑郁症状,以减少HF患者的死亡率.
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