Signatures of Neuropsychological Test Results in the Long Life Family Study: A Cluster Analysis.
Signatures of Neuropsychological Test Results in the Long Life Family Study: A Cluster Analysis.
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DOI：
10.3233/jad-221025
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发表时间：
2023
影响因子：
4
通讯作者：
Sebastiani, Paola
中科院分区：
文献类型：
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作者：
Xiang, Qingyan;Andersen, Stacy L.;Sweigart, Benjamin;Gunn, Sophia;Nygaard, Marianne;Perls, Thomas T.;Sebastiani, Paola
Discovering patterns of cognitive domains and characterizing how these patterns associate with other risk factors and biomarkers can improve our understanding of the determinants of cognitive aging. To discover patterns of cognitive domains using neuropsychological test results in Long Life Family Study (LLFS) and characterize how these patterns associate with aging markers. 5086 LLFS participants were administered neuropsychological tests at enrollment. We performed a cluster analysis of six baseline neuropsychological test scores and tested the association between the identified clusters and various clinical variables, biomarkers, and polygenic risk scores using generalized estimating equations and the Chi-square test. We used Cox regression to correlate the clusters with the hazard of various medical events. We investigated whether the cluster information could enhance the prediction of cognitive decline using Bayesian beta regression. We identified 12 clusters with different cognitive signatures that represent profiles of performance across multiple neuropsychological tests. These signatures significantly correlated with 26 variables including polygenic risk scores, physical and pulmonary functions, and blood biomarkers and were associated with the hazard of mortality (p-value=<0.01), CVD (p-value = 0.03), dementia (p-value = 0.01), and skin cancer (p-value = 0.03). The identified cognitive signatures capture multiple domains simultaneously and provide a holistic vision of cognitive function, showing that different patterns of cognitive function can coexist in aging individuals. Such patterns can be used for clinical intervention and primary care.
影响因子：
6.8
作者：
Rietman, M. Liset;Onland-Moret, N. Charlotte;Nooyens, Astrid C. J.;Ibi, Dorina;van Dijk, Ko Willems;Samson, Leonard Daniel;Pennings, Jeroen L. A.;Schipper, Maarten;Wong, Albert;Spijkerman, Annemieke M. W.;Dolle, Martijn E. T.;Verschuren, W. M. Monique
通讯作者：
Verschuren, W. M. Monique
葡萄牙北部健康衰老的认知表现模式：横断面分析。
影响因子：
3.7
作者：
Paulo AC;Sampaio A;Santos NC;Costa PS;Cunha P;Zihl J;Cerqueira J;Palha JA;Sousa N
通讯作者：
Sousa N
影响因子：
4.8
作者：
通讯作者：
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