一种建模方法来推导血p-Tau217的种群特定切断值
1Department of Psychiatry, Singapore General Hospital, Outram Road, Singapore 169608; SingHealth Duke-NUS Medicine Academic Clinical Programme, Duke-NUS Medical School, 8 College Road, Singapore 169857; Health Services and Systems Research, Duke-NUS Medical School, 8 College Road, Singapore 169857; Saw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2,#10-01, Singapore 117549.
最终混合模型 (FMM) 建立了可靠的血p-Tau217切断值,用于检测阿尔茨海默病,而无需昂贵的金标准. 这种方法提高了可访问性,特别是在资源有限的环境中.
科学领域:
- 神经退行性疾病的神经退行性疾病
- 发现生物标志物的发现.
- 统计建模 统计建模
背景情况:
- 血p-Tau217显示出潜在的阿尔茨海默病 (AD) 诊断.
- 建立特定人群的切割值对于临床实用性至关重要.
- 目前的切断界限确定方法通常依赖于昂贵或侵入性的黄金标准测试,限制了可扩展性.
研究的目的:
- 评估有限混合模型 (FMM) 作为一种在不依赖黄金标准的情况下确定等离子体p-Tau217切线的方法.
- 为了推导和验证基于FMM的光脉冲血p-Tau217和p-Tau217/Aβ42比率的切断值.
- 为了确定可靠的FMM估计所需的最小样本大小.
主要方法:
- 有限混合模型 (FMM) 应用于来自1039名ADNI参与者的血p-Tau217和p-Tau217/Aβ42比率数据.
- 验证是使用来自711名参与者的亚组的粉样蛋白PET数据进行的.
- 进行了模拟,以评估可靠的FMM截止值估计的最小样本大小.
主要成果:
- 由FMM衍生出的切断线有效地将参与者分为粉样蛋白阴性,阳性和不确定的组 (<20%不确定的).
- 与单独的p-Tau217相比,p-Tau217/Aβ42比率显示出更高的性能.
- FMM切断显示的性能超过了几个既定切断值,包括最近FDA批准的切断值,预测值接近或高于90%.
结论:
- 有限混合模型提供了一种有效的,可扩展的方法来估计无需依赖黄金标准的等离子体p-Tau217切线.
- 这种建模策略简化了建立特定人口的切线,提高了可访问性.
- 这些发现支持更广泛地采用血p-Tau217生物标志物,特别是在获得常规诊断标准有限的地区.
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