Improving CSF biomarker accuracy in predicting prevalent and incident Alzheimer disease.

ABSTRACT:

Objective

To investigate factors, including cognitive and brain reserve, which may independently predict prevalent and incident dementia of the Alzheimer type (DAT) and to determine whether inclusion of identified factors increases the predictive accuracy of the CSF biomarkers Aβ(42), tau, ptau(181), tau/Aβ(42), and ptau(181)/Aβ(42).

Methods

Logistic regression identified variables that predicted prevalent DAT when considered together with each CSF biomarker in a cross-sectional sample of 201 participants with normal cognition and 46 with DAT. The area under the receiver operating characteristic curve (AUC) from the resulting model was compared with the AUC generated using the biomarker alone. In a second sample with normal cognition at baseline and longitudinal data availab

SUBMITTER: Roe CM 

PROVIDER: S-EPMC3053181 | biostudies-literature | 2011 Feb

REPOSITORIES: biostudies-literature