开发和第一阶段验证数字符号替换测试的数字版本,用于评估糖尿病老年人的认知功能
Omri Segev1, Itamar Raz2,3, Hertzel C Gerstein4
1School of Public Health, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Diabetes, obesity & metabolism
|May 17, 2024
概括
开发了一种新的数字数字符号替代测试 (DSST),用于评估糖尿病老年人的认知功能. 数字DSST与传统版本有很强的相关性,表明其对认知查的潜力.
科学领域:
- 神经科学是一个神经科学.
- 老年学是一门学科.
- 糖尿病学 糖尿病学
背景情况:
- 认知障碍是糖尿病老年人的一个重要问题.
- 数字符号替换测试 (DSST) 是一种广泛使用的神经心理学工具,用于评估认知功能.
- 数字版的DSST可以提供一种更容易获得和更有效的认知评估方法.
研究的目的:
- 开发DSST的数字版本,用于评估糖尿病老年人的认知功能.
- 进行这个数字DSST的第一阶段验证.
- 为了评估设计用于分析数字DSST输入的机器学习算法的性能.
主要方法:
- 一个多学科团队开发了一个数字DSST和一个机器学习 (ML) 算法.
- 100名60岁以上的2型糖尿病患者完成了数字版和纸和笔版的DSST.
- 收集了人口统计,实验室和糖尿病数据;分析了认知风险组之间的相关性和表现.
主要成果:
- 在分析数字DSST输入时,ML模型实现了89.1%的准确性.
- 在数字版和纸笔版DSST版本之间观察到强烈的正相关性 (r=0.76,p<0.001).
- 在ML模型和数字DSST的手动读数之间发现了很好的一致性 (r=0.99,p<0.001).
结论:
- 开发的数字DSST是对糖尿病老年人认知功能的查和监测的一个有前途的工具.
- 第一阶段验证数据支持这个数字认知评估工具的实用性.
- 需要进一步验证,特别是在自我管理和各种临床环境中进行验证.
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