Department of Psychiatry, The University of Texas Health Science Center, San Antonio, TX, USA.
J Alzheimers Dis. 2012;32(1):23-32. doi: 10.3233/JAD-2012-120430.
The temporal growth of Alzheimer's disease (AD) neuropathology cannot be easily determined because autopsy data are available only after death. We combined autopsy data from 471 participants in the Honolulu-Asia Aging Study (HAAS) into latent factor measures of neurofibrillary tangle and neuritic plaque counts. These were associated with intercept and slope parameters from a latent growth curve (LGC) model of 9-year change in cognitive test performance in 3244 autopsied and non-autopsied HAAS participants. Change in cognition fully mediated the association between baseline cognitive performance and AD lesions counts. The mediation effect of cognitive change on both AD lesion models effectively dates them within the period of cognitive surveillance. Additional analyses could lead to an improved understanding of lesion propagation in AD.
阿尔茨海默病（AD）神经病理学的时间增长难以确定，因为尸检数据仅在死亡后才可用。我们将来自 471 名檀香山-亚洲老龄化研究（HAAS）参与者的尸检数据组合成神经原纤维缠结和神经炎性斑块计数的潜在因子测量值。这些与 3244 名接受尸检和未接受尸检的 HAAS 参与者的认知测试表现 9 年变化的潜在增长曲线（LGC）模型的截距和斜率参数相关。认知变化完全介导了基线认知表现与 AD 病变计数之间的关联。认知变化对两种 AD 病变模型的中介效应有效地将其定位于认知监测期内。进一步的分析可以提高对 AD 病变传播的理解。
