A serum protein-based algorithm for the detection of Alzheimer disease.

ABSTRACT:

Objective

To develop an algorithm that separates patients with Alzheimer disease (AD) from controls.

Design

Longitudinal case-control study.

Setting

The Texas Alzheimer's Research Consortium project. Patients  We analyzed serum protein-based multiplex biomarker data from 197 patients diagnosed with AD and 203 controls. Main Outcome Measure  The total sample was randomized equally into training and test sets and random forest methods were applied to the training set to create a biomarker risk score.

Results

The biomarker risk score had a sensitivity and specificity of 0.80 and 0.91, respectively, and an area under the curve of 0.91 in detecting AD. When age, sex, education, and APOE status were added to the algorithm, the sensitivity, specificity, and area under

SUBMITTER: O'Bryant SE 

PROVIDER: S-EPMC3069805 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature