在慢性心力衰竭的老年患者中构建和验证认知虚弱的风险预测模型
Siqian Li1, Weiying Zhang2, Kongyan Zhang1
1Department of Geriatrics, Fuyang Hospital of Anhui Medical University, Fuyang 236000, China.
概括
慢性心力衰竭的老年患者面临认知脆弱的风险,这会影响结果. 一个新的预测模型有助于识别高风险个体,以便更好地管理.
科学领域:
- 老年学是一门学科.
- 心脏病学 心脏病学
- 神经学 神经学
背景情况:
- 慢性心力衰竭的老年人的生理和病理变化增加了对认知脆弱的敏感性.
- 认知虚弱显著影响了这一患者群体的临床结果.
研究的目的:
- 开发和验证一种预测模型,用于识别患有慢性心力衰竭的老年患者,这些老年患者面临认知脆弱的高风险.
- 为优化这一人口群体认知虚弱的管理提供一个工具.
主要方法:
- 一项涉及622名住院患者的横截面研究.
- 使用后勤回归分析来确定认知虚弱的预测因素.
- 开发的预测模型经过了内部和外部验证.
主要成果:
- 使用后勤回归识别了认知虚弱的五个关键预测因素.
- 预测模型表现出强的性能,AUC值为0.867 (内部) 和0.848 (外部).
- 对于内部和外部验证,Hosmer和Lemeshow测试的非显著结果 (p > 0.05) 证实了适合性.
结论:
- 一个经过验证的诺莫格拉姆预测模型可以有效地选患有慢性心力衰竭的老年患者的认知脆弱高风险.
- 该模型是临床工作人员增强认知脆弱性管理策略的宝贵参考.
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