在糖尿病中揭开外围神经病变和认知功能障碍:使用电子游戏和装有传感器的内进行观察和概念验证研究
Antao Ming1, Elisabeth Lorek1, Janina Wall1
1University Clinic for Nephrology and Hypertension, Diabetology and Endocrinology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
Frontiers in endocrinology
|March 18, 2024
概括
这项研究表明,视频游戏中使用的装有传感器的内可以准确地检测糖尿病老年患者的认知功能障碍和外围神经病变. 这些有趣的评估为早期干预的传统临床检查提供了一个有希望的,不那么有偏见的替代方案.
科学领域:
- 神经学 神经学
- 老年病的医生 老年病的医生
- 糖尿病学 糖尿病学
背景情况:
- 早期发现认知功能障碍 (CD) 和外围神经病变 (PNP) 对于老年患者的糖尿病管理至关重要.
- 传统的CD和PNP临床检查需要大量的时间,并且可能是主观的.
研究的目的:
- 在糖尿病队列中使用机器学习算法调查PNP和CD.
- 在游戏过程中从装有传感器的内数据中识别关键特征,以检测这些条件.
主要方法:
- 一组261名老年糖尿病患者接受了PNP和CD的体检.
- 参与者参与了15分钟的游戏,使用装有传感器的内来测量脚部压力.
- 机器学习模型是使用游戏数据中的5244个特征来开发的,以确定与CD和PNP的相关性.
主要成果:
- 59%的患者患有PNP,34%患有CD,23%患有两者.
- PNP与CD有显著的相关性 (aOR=1.95,P=0.04).
- 确定了与CD,PNP或两者相关的预测游戏特征,实现了高分类准确性 (AUC 0.83-0.95).
结论:
- 使用传感器内进行基于视频游戏的评估,有效地对CD和/或PNP患者进行分类.
- 这种方法显示出高准确性和潜力,作为一个不那么有偏见的选工具.
- 建议在更大的队列中进一步验证以提高诊断能力.
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