Xu Xin, Hilal Saima, Collinson Simon L, Chan Qun Lin, Yi Chong Eddie Jun, Ikram Mohammad Kamran, Venketasubramanian Narayanaswamy, Cheng Ching-Yu, Wong Tien Yin, Chen Christopher Li-Hsian
Department of Pharmacology, National University of Singapore, Singapore.
Memory Aging and Cognition Centre, National University Health System, Singapore.
J Alzheimers Dis. 2016 Apr 12;52(3):1021-8. doi: 10.3233/JAD-160139.
A total cerebrovascular disease (CeVD) burden scale was previously constructed and an inverse association of CeVD burden and cognition was found. However, the generalizability of the CeVD scale has not been examined.
The objective was to validate the previously constructed total CeVD burden scale by establishing its association with cognitive function and dementia diagnosis in a community sample.
Eligible participants were assessed on an extensive neuropsychological battery and underwent MRI scans. The total CeVD scale, comprising markers of both small- and large-vessel diseases, was derived according to previously described criteria. Association of total CeVD burden with global and domain-based cognitive performance and dementia diagnostic utility of the scale was established.
A total of 863 participants were included in the analysis. A stepwise association of CeVD burden score with global and domain-specific cognitive function was found. Per score increase on the total CeVD burden scale was associated with 3.6 (95% CI = 2.1-6.4) times higher odds of dementia compared to dementia-free.
The total CeVD burden scale is associated with cognition and dementia in a community sample. Longitudinal studies are required to establish the predictive ability of this scale.
先前构建了一个全脑血管疾病（CeVD）负担量表，并发现CeVD负担与认知之间存在负相关。然而，尚未检验CeVD量表的普遍性。
通过在社区样本中建立其与认知功能和痴呆诊断的关联，来验证先前构建的全CeVD负担量表。
对符合条件的参与者进行广泛的神经心理测试，并进行磁共振成像（MRI）扫描。根据先前描述的标准得出全CeVD量表，该量表包括小血管和大血管疾病的标志物。建立了全CeVD负担与整体及基于领域的认知表现的关联，以及该量表对痴呆的诊断效用。
共有863名参与者纳入分析。发现CeVD负担评分与整体及特定领域的认知功能存在逐步关联。与无痴呆者相比，全CeVD负担量表每增加一分，患痴呆的几率高3.6倍（95%置信区间=2.1-6.4）。
在社区样本中，全CeVD负担量表与认知和痴呆相关。需要进行纵向研究以确定该量表的预测能力。
