Abstract 2189: Pre-existing Dementia, Death And Disability After Ischemic Stroke: Results From A Propensity-score Matched Analysis
Bibliographic record
Abstract
Background: With an aging population, patients are increasingly likely to present with stroke and pre-existing dementia, which may lead to greater death and disability. Objective: To assess the risk of all-cause mortality and poor functional outcomes after ischemic stroke in patients with and without pre-existing dementia. Design, Participants, and Setting: We conducted a multicenter cohort study of all patients presenting to 12 tertiary care institutions participating in the Registry of the Canadian Stroke Network (RCSN) with a first ischemic stroke between 2003 and 2008. Individuals with pre-existing dementia were matched using propensity score methods with patients without dementia during their index hospitalization based on these characteristics: age (within 3 years), sex, stroke severity, stroke subtype (lacunar vs. non-lacunar), level of consciousness, vascular risk factors, dysphagia, glucose and creatinine on admission, Charlson index, residence prior to hospitalization (home vs. other), pre-admission dependency, hospital arrival via ambulance, admission to stroke unit, thrombolysis, and palliative care. A propensity score model for dementia was estimated that balanced prognostically-important baseline covariates between subjects with and without dementia. Data Sources: Registry of the Canadian Stroke Network (RCSN) and Registered Persons Database (RPDB) Main Outcome Measures: The primary outcome was all cause mortality at 30-days. Secondary outcomes included mortality at discharge and at 1 year, disability at discharge (modified Rankin scale ≥3), medical complications (pneumonia), and discharge disposition. A subgroup analysis assessing the risk of intracerebral hemorrhage among those receiving thrombolysis was also conducted. Results: We matched 877 patients with an acute ischemic stroke and pre-existing dementia to 877 stroke patients without dementia. Patients were well-matched. The mean age was 82 years and 58% were women. Mortality at discharge, 30 days and one year after stroke was similar in patients with and without dementia [for mortality at discharge: RR 0.88 (95% confidence interval (CI) 0.74 to 1.05); mortality at 30-days: RR 0.88 (95%CI 0.75 to 1.03) and mortality at 1 year: RR 1.01; 95%CI 0.92 to 1.11). Patients with pre-existing dementia had similar disability at discharge and home disposition. In the subgroup of patients who received thrombolysis, there were no differences between those with and without dementia in the risk intracerebral hemorrhage (RR 1.27; 95%CI 0.69- 2.35) and no differences in mortality or disability at discharge. Conclusions: Pre-existing dementia is not independently associated with mortality, disability, or institutionalization after ischemic stroke. Pre-existing dementia should not necessarily preclude access to thrombolytic therapy and specialized stroke care.
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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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".