通过使用电子健康记录的基于图形的框架来识别阿尔茨海默病进展子类型
Yu Huang1, Jie Xu2, Zhengkang Fan2
1Indiana University.
Research square
|April 29, 2025
概括
阿尔茨海默病 (AD) 的进展不均. 这项研究在轻度认知障碍 (MCI) 患者中确定了四种不同的AD进展亚表型,揭示了不同的疾病途径,以便更好地理解和治疗.
科学领域:
- 神经科学是一个神经科学.
- 医疗信息学 医疗信息学
- 生物统计学 生物统计学
背景情况:
- 阿尔茨海默病 (AD) 的发展表现出显著的异质性,使诊断和治疗复杂化.
- 识别明显的进展途径对于改善患者的治疗结果和开发向疗法至关重要.
研究的目的:
- 在患有轻度认知障碍 (MCI) 和AD的患者中识别疾病进展亚现象.
- 利用电子健康记录 (EHR) 发现新的AD进展途径.
主要方法:
- 从OneFlorida+临床研究联盟的EHR中确定了2525名患有MCI和AD的患者队列.
- 开发了一个以结果为导向的图形神经网络模型来分析MCI到AD过渡途径.
主要成果:
- 确定了四种不同的阿尔茨海默氏病进展亚表型.
- 从MCI到AD的进展时间在各个亚表型之间有很大的差异,从805天到1236天不等.
结论:
- 阿尔茨海默病的进展是异质的,不遵循统一的过渡.
- 拟议的框架有效地识别了AD进展的亚现象,为疾病发展提供了可解释的见解.
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