Abstract TP442: Baseline Cognitive Impairment and Associated Risk Factors in Patients with Intracranial Stenosis in the SAMMPRIS Trial
Bibliographic record
Abstract
Background and Purpose: Cognitive impairment is an important outcome in stroke prevention trials. The Montreal Cognitive Assessment (MoCA) score is a cognitive measure used in the Stenting and Aggressive Medical Management for Preventing Recurrent Stroke in Intracranial Stenosis (SAMMPRIS) trial due to its sensitivity in detecting cognitive impairment in stroke patients. We sought to determine the prevalence of low baseline MoCA scores and the baseline risk factors associated with lower MoCA scores in SAMMPRIS patients. Methods: The main entrance criteria in SAMMPRIS were a TIA or non-disabling stroke within 30 days prior to enrollment attributed to 70-99% intracranial atherosclerosis. Patients with stroke as the qualifying event who had an NIH Stroke Score indicating aphasia or neglect were excluded from these analyses. Low MoCA score was defined as <26, the standard value that has 90% sensitivity for detecting mild cognitive impairment. Baseline demographic, medical history, laboratory, and neuroimaging characteristics were compared between patients with low vs. normal MoCA scores in univariate and multivariate analyses. Results: The prevalence of low baseline MoCA scores was 207/377 (55%). Baseline features associated with low MoCA scores in the univariate analyses are shown in Table 1. In the multivariate analyses, older age (p<0.0001) and physical inactivity (p=0.0166) were associated with low MoCA scores. MoCA score was not related to other vascular risk factors, severity of stenosis, prior stroke, or white matter lesions on CT or MRI. Conclusions: SAMMPRIS patients had a high prevalence of cognitive impairment at baseline, which was not explained by the presence of vascular risk factors, such as hypertension and hypercholesterolemia. This finding suggests that cognitive impairment may be an important source of potential disability in patients with intracranial stenosis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".