Functional Impairment in Elderly Patients With Mild Cognitive Impairment and Mild Alzheimer Disease<alt-title>Impairment in MCI and AD Patients</alt-title>
Bibliographic record
Abstract
CONTEXT: The original mild cognitive impairment (MCI) criteria exclude substantial functional deficits, but recent reports suggest otherwise. Identifying the extent, severity, type, and correlates of functional deficits that occur in MCI and mild Alzheimer disease (AD) can aid in early detection of incipient dementia and can identify potential mechanistic pathways to disrupted instrumental activities of daily living (IADLs). OBJECTIVES: To examine the number, type, and severity of functional impairments and to identify the clinical characteristics associated with functional impairment across patients with amnestic MCI (aMCI) and those with mild AD. DESIGN: Study using baseline data from the Alzheimer's Disease Neuroimaging Initiative. SETTING: Multiple research sites in the United States and Canada. Patients Samples included 229 control individuals, 394 patients with aMCI, and 193 patients with AD. MAIN OUTCOME MEASURE: The 10-item Pfeffer Functional Activities Questionnaire (FAQ) assessed function. RESULTS: Informant-reported FAQ deficits were common in patients with aMCI (72.3%) and AD (97.4%) but were rarely self-reported by controls (7.9%). The average severity per FAQ deficit did not differ between patients with aMCI and controls; both were less impaired than patients with AD (P < .001). Two FAQ items (remembering appointments, family occasions, holidays, and medications and assembling tax records, business affairs, or other papers) were specific (specificity estimate, 0.95) in differentiating the control group from the combined aMCI and AD groups (only 34.0% of patients with aMCI and 3.6% of patients with AD had no difficulty with these 2 items). The severity of FAQ deficits in the combined aMCI and AD group was associated with worse Trail Making Test, part A scores and smaller hippocampal volumes (P < .001 for both). Within the aMCI group, functionally intact individuals had greater hippocampal volumes and better Auditory Verbal Learning Test 30-minute delay and Trail Making Test, part A (P < .001 for each) scores compared with individuals with moderate or severe FAQ deficits. Patients with a high number of deficits were more likely to express the apolipoprotein ε4 allele (63.8%) compared with patients with no (46.8%) or few (48.4%) functional deficits. CONCLUSIONS: Mild IADL deficits are common in individuals with aMCI and should be incorporated into MCI criteria. Two IADLs--remembering appointments, family occasions, holidays, and medications and assembling tax records, business affairs, or other papers--appear to be characteristic of clinically significant cognitive impairment. In patients with aMCI, impairment in memory and processing speed and greater medial temporal atrophy were associated with greater IADL deficits.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".