THE VASCULAR COGNITIVE IMPAIRMENT AND FUNCTIONAL DEPENDENCE AMONG POST-STROKE PATIENTS AT HOSPITAL UNIVERSITI SAINS MALAYSIA
Bibliographic record
Abstract
Effectiveness of stroke care and treatment recently was associated with increase stroke survivors however, half of them are left with significant vascular cognitive impairment and functional dependent. The aims of this study is to determine the association between Vascular Cognitive Impairment (VCI) with clinical characteristics and functional dependence among 42 post-stroke patients admitted at Hospital Universiti Sains Malaysia (Hosp.USM), Kelantan, Malaysia. Personal information, level of cognitive impairment using Mini-Mental State Examination (MMSE) and functional dependence and independent level using a Barthel index data was collected. The result showed that 23.8% of stroke patients had severe vascular cognitive impairment, 40.5% had mild vascular cognitive impairment, while the other 35.7% had no vascular cognitive impairment. Besides, the functional level indicated that 19.0% of participants were dependent and 81.0% were independent. There was no statistically significant association between vascular cognitive impairment with gender, stroke location, and underlying medical disease. However, a significant and positive correlation was found between the level of vascular cognitive impairment and functional dependence level (r = 0.553, p < 0.001). An early assessment of the degree of cognitive impairment and functional independence will help enhance the treatment of stroke patients and reduce potential problems such as secondary strokes or other cardiovascular events.
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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 | 0.002 | 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) | 0.000 | 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".