Stroke Outcome in Those Over 80
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: The prevalence of stroke in elderly patients has been increasing in recent years. However, limited information is available about the burden of stroke in individuals over 80. We sought to evaluate differences in clinical outcomes in Canadians over 80 years old hospitalized for an acute ischemic stroke. METHODS: The authors conducted a multicenter cohort study including all hospital admissions for ischemic stroke identified from the Canadian Hospital Morbidity and Mortality Database from April 2003 to March 2004. The Hospital Morbidity and Mortality Database contains a national database that contains patient-level sociodemographic, diagnostic, procedural, and administrative information from across Canada. Multivariable analysis was performed using logistic regression. The primary outcome was 7-day case fatality and fatality at discharge. Secondary end points included intensive care unit admissions, medical complications, gender differences, length of hospital stay, and discharge disposition. RESULTS: We analyzed 26,676 patients with ischemic stroke admitted to 606 hospitals across Canada. Mean age (SD) was 74+/-13 years. Overall, 10,171 (38%) were aged 80 years or older. Case fatality at discharge was 5.7% (age < 59), 8.6% (age 60 to 69), 13.4% (age 70 to 79), and 24.2% (age > or = 80; P<0.001). Patients aged 80 and over were less likely to be admitted to the intensive care unit (7.7% versus 15.3%; P<0.001) and discharged to their prestroke residence (47.2% for those over 80 versus 61.6% for patients younger than 80; P<0.001). Median length of stay was longer in those over 80 (10 days versus 7 days; P<0.0001). In the multivariable analysis for the older group, admission to the intensive care unit, low socioeconomic status, and admission to a nonacademic institution were associated with increased fatality after adjusting for covariates. CONCLUSIONS: Aging of the population is a growing reality in Western societies and this translates into an increasing demand on healthcare systems. In our study, patients with stroke over 80 had higher risk-adjusted fatality, longer hospitalization, and were less likely to be discharged to their original place of residence. Strategies need to be implemented to facilitate equal access to specialized stroke care for the elderly.
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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) | 0.001 | 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".