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Selection for depression-specific dementia cases with replication in two cohorts.


ABSTRACT: The latent variable "?" (for "dementia") provides an etiologically "agnostic" omnibus dementia severity metric capable of recognizing the dementing potential of any condition. Depressive symptoms are independent predictors of ? and are thereby implicated as "dementing". Serum resistin levels partially mediate the association between depressive symptoms and ?. We use a novel "off-diagonal" CHI SQ algorithm to demonstrate our ability to select individuals demented solely by depression's effect in both the Texas Alzheimer's Research and Care Consortium (TARCC) (N ? 3,500), and the Alzheimer's Disease Neuroimaging Initiative (ADNI (N ? 1,750), and demonstrate the higher resistin levels of such cases in TARCC. This approach can be adapted to any ?-related dementia risk factor or biomarker and used identify individuals who might revert back to non-demented states after its successful treatment.

SUBMITTER: Royall DR 

PROVIDER: S-EPMC6544211 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Selection for depression-specific dementia cases with replication in two cohorts.

Royall Donald R DR   Palmer Raymond F RF  

PloS one 20190531 5


The latent variable "δ" (for "dementia") provides an etiologically "agnostic" omnibus dementia severity metric capable of recognizing the dementing potential of any condition. Depressive symptoms are independent predictors of δ and are thereby implicated as "dementing". Serum resistin levels partially mediate the association between depressive symptoms and δ. We use a novel "off-diagonal" CHI SQ algorithm to demonstrate our ability to select individuals demented solely by depression's effect in  ...[more]

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