Poststroke Cognitive Decline is Independent of Longitudinal Changes in Cerebral Hemodynamics Parameters
Bibliographic record
Abstract
BACKGROUND: Poststroke vascular cognitive impairment is highly prevalent with significant functional consequences. However, reliable biomarkers for early prediction of cognitive decline after acute ischemic stroke (AIS) are not well established. Although parenchymal imaging in patients with AIS and transient ischemic attack (TIA) may predict the resultant cognitive impairment, it may not explain the progressive deterioration after the index event. We postulated that longitudinal changes in cerebral hemodynamic parameters may influence the cognitive performance after a cerebrovascular event. METHODS: One-hundred consecutive AIS/TIA patients were recruited within 2 weeks following a cerebrovascular event. At 3-6 months, 69 patients were followed up with transcranial Doppler (TCD) and brief cognitive tests (Mini-Mental State Examination [MMSE]/Montreal Cognitive Assessment [MoCA]). Basic demographics, vascular risk factors, clinical, cognitive, and neurological status were recorded. RESULTS: Considerable proportion (12%) of patients showed cognitive decline and changes in the hemodynamic parameters over 3-6 months after the index event. We showed that right middle cerebral artery (MCA) stenosis and right internal carotid artery/MCA tandem lesions at 3-6 months are associated with the change in the MMSE scores. Additionally, there was a trend toward association between increased pulsatility index of the right MCA and a decline in the MMSE score. However, we did not observe any association between cognitive decline and longitudinal changes in hemodynamic parameters. CONCLUSION: Although hemodynamic parameters deteriorate in a considerable proportion of patients during first 3-6 months after a cerebrovascular event, cognitive decline appears to be an independent phenomenon.
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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 | 0.000 | 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) | 0.000 | 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".