在患有高血压的老年人中,认知障碍风险的预测模型
1School of Gongli Hospital Medical Technology, University of Shanghai for Science and Technology, Shanghai 200093, China.
概括
这项研究开发了一种用于高血压患者认知障碍的预测工具. 诺米图准确地识别出有风险的个体,有助于早期临床干预.
科学领域:
- 心脏病学 心脏病学
- 神经学 神经学
- 公共卫生 公共卫生
背景情况:
- 高血压是一种普遍存在的全球疾病,与增加认知障碍风险有关.
- 认知衰退对公众健康和预期寿命构成重大威胁.
研究的目的:
- 开发一种用于高血压患者认知障碍的预测性名谱.
- 利用国家健康和营养检查研究 (NHANES) 数据进行模型开发.
主要方法:
- 从NHANES 2011-2014年对1517名高血压患者的分析.
- 拉索和后勤回归确定了关键预测因素:性别,年龄,教育,PIR,抑郁症,工作活动和肌.
- 模型性能使用ROC AUC,校准曲线和DCA进行评估.
主要成果:
- 创建了一个包含七个预测因子的名图,AUC为0.802 (火车) 和0.756 (测试).
- 一个基于Web的动态名录可供临床使用.
- 该模型表现出了出色的区分能力和良好的校准.
结论:
- 开发的诺米图是临床上有用的工具,用于查高血压患者的认知障碍.
- 这种预测模型有助于早期识别和干预.
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