From the Departments of Neurosciences (D. Smirnov, D.G., A.H., D. Salmon), Pathology (A.H.), and Family Medicine and Public Health (S. Edland), University of California San Diego.
Neurology. 2021 May 4;96(18):e2272-e2283. doi: 10.1212/WNL.0000000000011772. Epub 2021 Mar 15.
To characterize age-related clinical heterogeneity in Alzheimer disease (AD) and determine whether it is modified by genotype or concomitant non-AD pathology, we analyzed data from 1,750 patients with sporadic, pathologically confirmed severe AD.
In this retrospective cohort study, regression and mixed effects models assessed effects of estimated age at onset, genotype, and their interaction on standardized clinical, cognitive, and pathologic outcome measures from the National Alzheimer's Coordinating Center database.
A bimodal distribution of age at onset frequency in ε4- cases showed best separation at age 63. Using this age cutoff, cases were grouped as ε4- early-onset AD (EOAD) (n = 169), ε4+ EOAD (n = 273), ε4- late-onset AD (LOAD) (n = 511), and ε4+ LOAD (n = 797). Patients with EOAD were more likely than patients with LOAD to present with noncognitive behavioral or motor symptoms or nonmemory cognitive complaints, and had more executive dysfunction, but less language impairment on objective cognitive testing. Age at onset and ε4- genotype were independently associated with lower baseline Mini-Mental State Examination scores and greater functional impairment and patients with EOAD had faster cognitive and functional decline than patients with LOAD regardless of genotype. Patients with EOAD were more likely than patients with LOAD to receive a non-AD clinical diagnosis even though they were more likely to have pure AD without concomitant vascular or other non-AD neurodegenerative pathology.
Early-onset sporadic AD is associated with a greater likelihood of an atypical, non-memory-dominant clinical presentation, especially in the absence of the ε4 allele, which may lead to misattribution to non-AD underlying pathology.
为了描述阿尔茨海默病(AD)患者年龄相关的临床异质性,并确定这种异质性是否会因基因或并发的非 AD 病理而改变,我们分析了 1750 例散发性、经病理证实的严重 AD 患者的数据。
在这项回顾性队列研究中,回归和混合效应模型评估了发病年龄估计值、基因型及其相互作用对国家阿尔茨海默病协调中心数据库中标准化临床、认知和病理结局测量的影响。
ε4-病例的发病年龄频率呈双峰分布,在 63 岁时最佳分离。使用这个年龄截止值,病例被分为 ε4-早发性 AD(EOAD)(n = 169)、ε4+ EOAD(n = 273)、ε4-晚发性 AD(LOAD)(n = 511)和 ε4+ LOAD(n = 797)。EOAD 患者比 LOAD 患者更有可能出现非认知行为或运动症状或非记忆认知主诉,并且在客观认知测试中表现出更多的执行功能障碍,但语言障碍较轻。发病年龄和 ε4-基因型与较低的基线 Mini-Mental State Examination 评分以及更大的功能障碍独立相关,无论基因型如何,EOAD 患者的认知和功能下降速度都比 LOAD 患者快。EOAD 患者比 LOAD 患者更有可能被诊断为非 AD 临床疾病,尽管他们更有可能患有没有伴随血管或其他非 AD 神经退行性病理的纯 AD。
早发性散发性 AD 与更有可能出现非典型、非记忆主导的临床表现相关,尤其是在缺乏 ε4 等位基因的情况下,这可能导致误诊为非 AD 潜在病理。