为艾滋病毒感染者的纵向认知数据制定精细的协调方法
Lang Lang1, Leah H Rubin2, Raha M Dastgheyb3
1Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA.
Journal of clinical epidemiology
|November 30, 2024
概括
这项研究引入了一种新方法,在多项研究中协调HIV感染者 (PWH) 的认知数据. 这种精细的方法准确地捕捉了随时间的推移和人口统计学变化的认知变化.
科学领域:
- 神经科学是一个神经科学.
- 数据科学数据科学数据科学
- 公共卫生 公共卫生
背景情况:
- 认知并发症在艾滋病毒感染者 (PWH) 中是常见的和多样化的.
- 由于不同的评估工具,跨研究协调纵向认知数据具有挑战性.
- 当常见的关联认知测试缺少时,现有的方法通常会失败.
研究的目的:
- 开发和验证一种精细的方法来协调来自PWH的各种研究的纵向认知数据.
- 为了能够在大型数据集中对PWH的认知异质性进行强有力的分析.
主要方法:
- 开发了一种使用二次因子模型的新协调方法.
- 利用认知领域之间的结构关系来克服缺乏常见的测试.
- 应用该方法来协调来自五个大型PWH队列的数据.
主要成果:
- 在整个队列中实现了人口统计学上一致的协调认知领域得分.
- 在协调分数和原始/转换认知测试数据之间显示出强烈的相关性.
- 保持了纵向认知轨迹,同时反映了人口学影响 (年龄,教育).
结论:
- 开发的协调方法对于分析PWH认知健康的回顾性大规模数据至关重要.
- 这些方法有助于理解PWH认知并发症的异质性.
- 该方法适用于具有类似认知指标的新数据集.
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