Ontology highlight
ABSTRACT: Background
Although individualized models using demographic, MRI, and biological markers have recently been applied in mild cognitive impairment (MCI), a similar study is lacking for patients with early Alzheimer's disease (AD) with biomarker evidence of abnormal amyloid in the brain.Objective
We aimed to develop prognostic models for individualized prediction of cognitive change in early AD.Methods
A total of 421 individuals with early AD (MCI or mild dementia due to AD) having biomarker evidence of abnormal amyloid in the brain were included in the current study. The primary cognitive outcome was the slope of change in Alzheimer's Disease Assessment Scale-cognitive subscale-13 (ADAS-Cog-13) over a period of up to 5 years.Results
A model combining demograph
SUBMITTER: Wang X
PROVIDER: S-EPMC11491935 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature