Validation of the Montreal Cognitive Assessment Versus Mini-Mental State Examination Against Hypertension and Hypertensive Arteriopathy After Transient Ischemic Attack or Minor Stroke
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Lack of reduced cognitive impairment with blood pressure (BP) lowering in trials may reflect use of the Mini-Mental State Examination (MMSE), which is insensitive to mild cognitive impairment after cerebrovascular events compared with the Montreal Cognitive Assessment. We determined relationships between impairment on MMSE versus Montreal Cognitive Assessment (MoCA) with the major physiological determinant of vascular cognitive impairment: hypertension and hypertensive arteriopathy. METHODS: Cognitive impairment in consecutive patients 6 months after transient ischemic attack or minor stroke was defined as significant, mild, or none (MMSE<23, 23-26, ≥27; MoCA<20, 20-24, ≥25) and related to 20 premorbid systolic BP readings, home BP measurement (3 measurements, 3×daily for 1 month), and hypertensive arteriopathy (creatinine, stroke versus transient ischemic attack, leukoaraiosis) by ordinal regression. RESULTS: Of 463 patients, 45% versus 28% had at least mild cognitive impairment on the MoCA versus MMSE (P<0.001). Hypertensive arteriopathy was more strongly associated with cognitive impairment on the MoCA than MMSE (creatinine: odds ratio=3.99; 95% confidence interval, 2.06-7.73 versus 2.16, 1.08-4.33; event: 1.53, 1.06-2.19 versus 1.23, 0.81-1.85; leukoaraiosis: 2.09, 1.42-3.06 versus 1.34, 0.87-2.07). Premorbid and home BP measurement systolic BP were more strongly associated with impairment on vascular subdomains of the MoCA than MMSE (odds ratio/10 mm Hg: visuospatial 1.29 versus 1.05; attention 1.18 versus 1.07; language 1.22 versus 0.91; naming 1.07 versus 0.86). CONCLUSIONS: The stronger relationship between impairment on the MoCA with hypertensive arteriopathy, independent of age, indicates a greater sensitivity for vascular-origin cognitive impairment. Use of MoCA should improve sensitivity for cognitive impairment and treatment effects in future studies.
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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 | 0.023 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".