Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
J Alzheimers Dis. 2023;94(1):101-113. doi: 10.3233/JAD-220931.
Individuals with Alzheimer's disease (AD) often present with coexisting vascular pathology that is expressed to different degrees and can lead to clinical heterogeneity.
To examine the utility of unsupervised statistical clustering approaches in identifying neuropsychological (NP) test performance subtypes that closely correlate with carotid intima-media thickness (cIMT) in midlife.
A hierarchical agglomerative and k-means clustering analysis based on NP scores (standardized for age, sex, and race) was conducted among 1,203 participants (age 48±5.3 years) from the Bogalusa Heart Study. Regression models assessed the association between cIMT ≥50th percentile and NP profiles, and global cognitive score (GCS) tertiles for sensitivity analysis.
Three NP profiles were identified: Mixed-low performance [16%, n = 192], scores ≥1 SD below the mean on immediate, delayed free recall, recognition verbal memory, and information processing; Average [59%, n = 704]; and Optimal [26%, n = 307] NP performance. Participants with greater cIMT were more likely to have a Mixed-low profile [OR = 3.10, 95% CI (2.13, 4.53), p < 0.001] compared to Optimal. After adjusting for education and cardiovascular (CV) risks, results remained. The association with GCS tertiles was more attenuated [lowest (34%, n = 407) versus highest (33%, n = 403) tertile: adjusted OR = 1.66, 95% CI (1.07, 2.60), p = 0.024].
As early as midlife, individuals with higher subclinical atherosclerosis were more likely to be in the Mixed-low profile, underscoring the potential malignancy of CV risk as related to NP test performance, suggesting that classification approaches may aid in identifying those at risk for AD/vascular dementia spectrum illness.
患有阿尔茨海默病(AD)的个体通常伴有共存的血管病理学,其表达程度不同,可导致临床异质性。
研究无监督统计聚类方法在识别与中年颈动脉内膜中层厚度(cIMT)密切相关的神经心理学(NP)测试表现亚型方面的效用。
基于 NP 评分(按年龄、性别和种族标准化)对 1203 名(年龄 48±5.3 岁)博加卢萨心脏研究参与者进行分层聚类和 k-均值聚类分析。回归模型评估了 cIMT≥50 百分位数与 NP 特征以及全球认知评分(GCS)三分位数之间的关联,用于敏感性分析。
确定了三种 NP 特征:混合低表现[16%,n=192],即时、延迟自由回忆、识别言语记忆和信息处理的评分低于平均值 1 个标准差;平均[59%,n=704];以及最佳[26%,n=307]NP 表现。cIMT 较大的参与者更有可能具有混合低表现特征[OR=3.10,95%CI(2.13,4.53),p<0.001],与最佳表现相比。在调整教育和心血管(CV)风险后,结果仍然存在。与 GCS 三分位数的关联较弱[最低(34%,n=407)与最高(33%,n=403)三分位数:调整后的 OR=1.66,95%CI(1.07,2.60),p=0.024]。
早在中年,亚临床动脉粥样硬化程度较高的个体更有可能处于混合低表现特征,这凸显了 CV 风险与 NP 测试表现之间的潜在恶性程度,表明分类方法可能有助于识别那些处于 AD/血管性痴呆谱疾病风险中的个体。