Predicting missing biomarker data in a longitudinal study of Alzheimer disease.

ABSTRACT:

Objective

To investigate predictors of missing data in a longitudinal study of Alzheimer disease (AD).

Methods

The Alzheimer's Disease Neuroimaging Initiative (ADNI) is a clinic-based, multicenter, longitudinal study with blood, CSF, PET, and MRI scans repeatedly measured in 229 participants with normal cognition (NC), 397 with mild cognitive impairment (MCI), and 193 with mild AD during 2005-2007. We used univariate and multivariable logistic regression models to examine the associations between baseline demographic/clinical features and loss of biomarker follow-ups in ADNI.

Results

CSF studies tended to recruit and retain patients with MCI with more AD-like features, including lower levels of baseline CSF Aβ(42). Depression was the major predictor for MCI dropouts,

SUBMITTER: Lo RY 

PROVIDER: S-EPMC3345787 | biostudies-literature | 2012 May

REPOSITORIES: biostudies-literature