Gait Change Is Associated with Cognitive Outcome after an Acute Ischemic Stroke
Bibliographic record
Abstract
Background. Cognition and gait have often been studied separately after stroke whereas it has been suggested that these two domains could interact through a cognitive-motor interference. Objective. To evaluate the influence of gait changes on cognitive outcome after an ischemic stroke (IS). Methods. We conducted a prospective and monocentric study including patients admitted for an acute supratentorial IS with a National Institute of Health Stroke Score ≤ 15. Cognition, gait and motor disability were evaluated at baseline, three months and one year post-stroke, using the Montreal Cognitive Assessment (MoCA), the 10-meter walking test (10-MWT) and the Fugl-Meyer motor assessment (FMMA). The effect of changes in 10-MWT over the year of follow-up on MoCA changes was estimated using a generalized linear mixed model with FMMA, age and gender as covariates. Results. 212 patients were included (71% male, age 64 ± 13 y.o). 10-MWT improved from baseline to one year (p < .001), as did MoCA (p < .001) and FMMA (p < .001) scores. 99 patients (47%) had a MoCA < 26 at one year. Changes in 10-MWT were independently associated with changes in MoCA (β = -0.2, 95% CI -0.24 to -0.07, Bonferroni-corrected p-value = 0.002). Analyses of MoCA sub-scores suggested that changes in gait performance was associated with changes in executive functions and recall. Conclusion. Gait performance is associated with cognitive outcome after a mild to moderate IS, suggesting that they should be managed together to improve post-stroke independence.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".