Global cognitive trajectory patterns in Alzheimer's disease.

Area of Science:

• Neuroscience
• Gerontology
• Clinical Neurology

Background:

• Limited data exists on long-term cognitive trajectories in Alzheimer's disease (AD).
• Understanding cognitive progression is crucial for clinical research and patient care in AD.

Purpose of the Study:

• To identify distinct global cognitive outcome trajectories in individuals with Alzheimer's disease (AD).
• To determine predictor variables associated with these cognitive trajectories.

Main Methods:

• Utilized data from the National Alzheimer's Coordinating Center (NACC) Uniform Data Set.
• Analyzed cognitive trajectories of 414 participants with probable or possible AD over 5 years using a hybrid approach.
• Employed qualitative analysis of Mini-Mental State Examination (MMSE) trajectories and binary logistic regression for 19 predictor variables.

Main Results:

• Identified five cognitive trajectories: fast decliners (32.6%), slow decliners (30.7%), zigzag stable (15.9%), stable (15.9%), and improvers (4.8%).
• Fast decliners associated with female gender, lower baseline MMSE, shorter illness duration, or cognitive enhancers.
• Predictors of favorable outcomes included higher traumatic brain injury rates, absence of ApoE ε4 allele, and male gender.

Conclusions:

• A hybrid approach revealed five distinct cognitive trajectories in Alzheimer's disease (AD), reflecting real-world clinical observations.
• The identified trajectories and their subtypes offer a more nuanced understanding of AD progression than previous statistical models.
• Further research is needed to validate these findings across different clinical settings.