Abstract TP439: Temporary Cognitive Impairment in Transient Ischemic Attack and Minor Stroke Patients is Predicted by Chronic White Matter Hyperintensity Volume
Bibliographic record
Abstract
Background: Cognitive changes have been described in subacute TIA/minor stroke (TIA/MIS), but the temporal profile is unknown. We tested the hypothesis that TIA/MIS patients experience transient cognitive impairment, and that this can be predicted by Diffusion-Weighted Imaging (DWI) lesion volume. Methods: Acute TIA/MIS stroke (NIH stroke scale score ≤3) patients with no history of cognitive impairment were prospectively recruited within 72 h of onset. Patients underwent Montreal Cognitive Assessment (MoCA), Mini-Mental Status Examination (MMSE) and MRI, including DWI and Fluid-Attenuated Inverse Recovery (FLAIR) sequences, at baseline, days 7 and 30. DWI lesion and FLAIR chronic white matter hyperintensity (WMH) volumes were measured planimetrically. Results: Fifty patients (mean age 68 ±15.1 years) were imaged at a median (IQR) of 26.5 (28.5) h after onset. Cognitive impairment (scores ≤26) was detected more frequently with MoCA (31/50, 62%) than MMSE (13/50, 26%, p=0.009). Acute ischemic lesions (DWI) were present in 33 (66%) patients. Mean DWI volume at baseline was 4.5 ± 11.1ml. Patients with DWI lesions (22/33, 67%) had similar impairment rates as those without (9/17, 53%; p=0.34). Linear regression indicated no relationship between acute DWI lesion volume (log transformed) and baseline MoCA scores (β=0.028, 95% CI [-2.09, 2.44]). Impaired patients had larger WMH volumes (13.6 ± 21.9 ml) than unaffected patients (2.6 ± 3.2 ml, p=0.01). Log transformed WMH volumes were inversely predictive of baseline MoCA scores (β=-0.54, 95% CI [-7.84, -2.28]). Median MoCA scores improved over time (27(5) at day 7 and 28(5) at day 30). Patients with baseline impairment and an increase of ≥2 points on MoCA by day 30 were defined as reverters (N=20). DWI lesion frequency was similar in reverters and those with persisting impairment (75% vs 64%, p= 0.50), as was DWI (6.9 ±14.3 ml vs 1.2 ±1.9 ml; p= 0.113) and WMH lesion volume (17.0 ± 26.2 ml vs 8.1 ± 8.1 ml; p= 0.18). Conclusions: Most TIA/MIS patients have evidence of temporary acute cognitive impairment when assessed with MoCA. Deficits are correlated with chronic WMH, suggesting an unmasking of subclinical cognitive impairment. Temporary cognitive deficits should be considered in the management of TIA/MIS patients.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".