Firth Nicholas C, Startin Carla M, Hithersay Rosalyn, Hamburg Sarah, Wijeratne Peter A, Mok Kin Y, Hardy John, Alexander Daniel C, Strydom André
Centre for Medical Image Computing Department of Computer Science UCL London WC1E 6BT United Kingdom.
Department of Forensic and Neurodevelopmental Sciences Institute of Psychiatry, Psychology & Neuroscience Kings College London London SE5 8AF United Kingdom.
Ann Clin Transl Neurol. 2018 May 20;5(6):741-751. doi: 10.1002/acn3.571. eCollection 2018 Jun.
Individuals with Down syndrome (DS) have an extremely high genetic risk for Alzheimer's disease (AD), however, the course of cognitive decline associated with progression to dementia is ill-defined. Data-driven methods can estimate long-term trends from cross-sectional data while adjusting for variability in baseline ability, which complicates dementia assessment in those with DS.
We applied an event-based model to cognitive test data and informant-rated questionnaire data from 283 adults with DS (the largest study of cognitive functioning in DS to date) to estimate the sequence of cognitive decline and individuals' disease stage.
Decline in tests of memory, sustained attention/motor coordination, and verbal fluency occurred early, demonstrating that AD in DS follows a similar pattern of change to other forms of AD. Later decline was found for informant measures. Using the resulting staging model, we showed that adults with a clinical diagnosis of dementia and those with 3:4 or 4:4 genotype were significantly more likely to be staged later, suggesting that the model is valid.
Our results identify tests of memory and sustained attention may be particularly useful measures to track decline in the preclinical/prodromal stages of AD in DS whereas informant-measures may be useful in later stages (i.e. during conversion into dementia, or postdiagnosis). These results have implications for the selection of outcome measures of treatment trials to delay or prevent cognitive decline due to AD in DS. As clinical diagnoses are generally made late into AD progression, early assessment is essential.
唐氏综合征(DS)患者患阿尔茨海默病(AD)的遗传风险极高,然而,与进展为痴呆相关的认知衰退过程尚不明确。数据驱动方法可以从横断面数据中估计长期趋势,同时调整基线能力的变异性,这使得DS患者的痴呆评估变得复杂。
我们将基于事件的模型应用于283名成年DS患者的认知测试数据和 informant 评分问卷数据(这是迄今为止关于DS认知功能的最大规模研究),以估计认知衰退的顺序和个体的疾病阶段。
记忆测试、持续注意力/运动协调测试和语言流畅性测试的衰退出现得较早,表明DS中的AD遵循与其他形式AD相似的变化模式。后来发现 informant 测量有衰退。使用所得的分期模型,我们表明临床诊断为痴呆的成年人以及基因型为3:4或4:4的成年人更有可能处于较晚阶段,这表明该模型是有效的。
我们的结果表明,记忆测试和持续注意力测试可能是追踪DS中AD临床前/前驱期衰退的特别有用的指标,而 informant 测量可能在后期阶段(即转化为痴呆期间或诊断后)有用。这些结果对选择治疗试验的结局指标以延迟或预防DS中由AD引起的认知衰退具有启示意义。由于临床诊断通常在AD进展后期做出,早期评估至关重要。