A prediction model of dementia conversion for mild cognitive impairment by combining plasma pTau181 and structural imaging features.

ABSTRACT:

Aims

The early stages of Alzheimer's disease (AD) are no longer insurmountable. Therefore, identifying at-risk individuals is of great importance for precise treatment. We developed a model to predict cognitive deterioration in patients with mild cognitive impairment (MCI).

Methods

Based on the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, we constructed models in a derivation cohort of 761 participants with MCI (138 of whom developed dementia at the 36th month) and verified them in a validation cohort of 353 cognitively normal controls (54 developed MCI and 19 developed dementia at the 36th month). In addition, 1303 participants with available AD cerebrospinal fluid core biomarkers were selected to clarify the ability of the model to predict AD core features.

SUBMITTER: Li TR 

PROVIDER: S-EPMC11410557 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature