Care and outcomes in patients with ischemic stroke with and without preexisting dementia
Bibliographic record
Abstract
OBJECTIVE: To describe clinical characteristics and evaluate processes of care and outcomes at discharge in patients with ischemic stroke with and without preexisting dementia. METHODS: Retrospective cohort study using the Registry of the Canadian Stroke Network including patients presenting with an acute ischemic stroke between 2003 and 2008. Preexisting dementia was defined as any type of dementia that was present prior to the index stroke case. Palliative patients were excluded. Demographic information, clinical presentation, selected process measures (e.g., thrombolysis, admission to stroke unit, carotid imaging, stroke prevention), pneumonia, death, disability, and disposition at discharge were analyzed. RESULTS: Among 9,304 eligible patients with an acute ischemic stroke, 702 (9.1%) had a history of dementia. Patients with dementia were older (mean age 81 vs 70 years; p < 0.001), had more severe strokes (Canadian Neurological Scale score <4, 20.7% vs 10.5%; p < 0.001), and were more likely to have atrial fibrillation (22.8% vs 15.3%; p < 0.001) than those without dementia. Patients with dementia were slightly less likely to be admitted to a stroke unit (63% vs 67.6%; odds ratio [OR] 0.82, 95% confidence interval [CI] 0.70-0.96) or to receive thrombolysis (10.5% vs 15.7%; OR 0.63, 95% CI 0.49-0.81). There were no differences in other performance measures. Patients with preexisting dementia had higher disability at discharge (OR 3.20, 95% CI 2.64-3.87) and were less likely to be discharged to their prestroke place of residence (24% vs 45%; p < 0.001). CONCLUSIONS: In patients with stroke, preexisting dementia is associated with high rates of disability and institutionalization, representing an increasing challenge for the health care system.
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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".