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Longitudinal Trajectories of Informant-Reported Daily Functioning in Empirically Defined Subtypes of Mild Cognitive
Kelsey R Thomas1, Emily C Edmonds1, Lisa Delano-Wood1
11Veterans Affairs San Diego Healthcare System,San Diego,California.
Objectives:
Within the Alzheimer's Disease Neuroimaging Initiative (ADNI)'s mild cognitive impairment (MCI) cohort, we previously identified MCI subtypes as well as participants initially diagnosed with MCI but found to have normal neuropsychological, biomarker, and neuroimaging profiles. We investigated the functional change over time in these empirically derived MCI subgroups.
Methods:
ADNI MCI participants (n=654) were classified using cluster analysis as Amnestic MCI (single-domain memory impairment), Dysnomic MCI (memory+language impairments), Dysexecutive/Mixed MCI (memory+language+attention/executive impairments), or Cluster-Derived Normal (CDN). Robust normal control participants (NCs; n=284) were also examined. The Functional Activities Questionnaire (FAQ) was administered at baseline through 48-month follow-up. Multilevel modeling examined FAQ trajectories by cognitive subgroup.
Results:
The Dysexecutive/Mixed group demonstrated the fastest rate of decline across all groups. Amnestic and Dysnomic groups showed steeper rates of decline than CDNs. While CDNs had more functional difficulty than NCs across visits, both groups' mean FAQ scores remained below its suggested cutoff at all visits.
Conclusions:
Results (a) show the importance of executive dysfunction in the context of other impaired cognitive domains when predicting functional decline in at-risk elders, and (b) support our previous work demonstrating that ADNI's MCI criteria may have resulted in false-positive MCI diagnoses, given the CDN's better FAQ trajectory than those of the cognitively impaired MCI groups. (JINS, 2017, 23, 521-527).
Insights
Executive dysfunction significantly predicts functional decline in older adults. Some mild cognitive impairment diagnoses may be inaccurate, as indicated by better functional trajectories in certain subgroups.
Area of Science:
- Neuroscience
- Gerontology
- Cognitive Science
Background:
- The Alzheimer's Disease Neuroimaging Initiative (ADNI) identified mild cognitive impairment (MCI) subtypes and individuals with normal profiles despite MCI diagnosis.
- Functional changes over time in these empirically derived MCI subgroups require investigation.
Purpose of the Study:
- To investigate the functional change over time in empirically derived MCI subgroups within the ADNI cohort.
- To assess the predictive value of executive dysfunction on functional decline in at-risk elders.
- To evaluate the accuracy of MCI diagnostic criteria by examining functional trajectories.
Main Methods:
- ADNI MCI participants (n=654) were classified via cluster analysis into Amnestic MCI, Dysnomic MCI, Dysexecutive/Mixed MCI, or Cluster-Derived Normal (CDN) groups.
- Normal control participants (NCs; n=284) were also included.
- The Functional Activities Questionnaire (FAQ) was administered from baseline to 48-month follow-up, with multilevel modeling analyzing FAQ trajectories by cognitive subgroup.
Main Results:
- The Dysexecutive/Mixed MCI group showed the most rapid functional decline.
- Amnestic and Dysnomic MCI groups exhibited steeper functional decline rates compared to CDNs.
- CDNs displayed more functional difficulty than NCs, but both remained below the FAQ cutoff.
Conclusions:
- Executive dysfunction is crucial for predicting functional decline in at-risk elders.
- ADNI's MCI criteria may lead to false-positive diagnoses, as evidenced by the CDN group's better functional trajectory compared to impaired MCI groups.
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