Abstract W P315: Cardio-Respiratory Arrest in Stroke (CAIS Study): Predisposing Factors, Clinical Features, Outcomes, and Process Measures
Bibliographic record
Abstract
Objectives: Limited information is available on the prevalence of cardiorespiratory arrest (CA) and its predisposing factors in patients with acute ischemic stroke. We analyzed/evaluated clinical characteristics, risk factors, access to care, and survival in stroke patients who developed a cardiac arrest. Methods: This is a multicenter cohort study including consecutive patients with acute ischemic stroke admitted to regional stroke centers participating in the Registry of the Canadian Stroke Network from July 2003 to March 2008. Patients with DNR order on admission were excluded. CA was defined as cardiac or respiratory arrest within 30 days of admission documented by a physician and identified from resuscitation records. The main outcome measures were the 30-day and 1-year survival among patients with CA vs. no CA. We also assessed the association between medical complications during hospitalization and CA. Results: Overall, 9,019 patients with acute ischemic stroke were included. Cardiac arrest was observed in 352 patients (3.9%). In patients with CA, 30-day survival (17.9% vs. 90.7%, P<0.001) and 1-year survival (4.5% vs. 80.1, p<0.001) were significantly lower. Less than 1% of stroke patients with CA were discharged home (vs. 47.3%; p<0.0001). Other outcome measures are summarized in Table 1. On multivariable analyses, older age, more severe stroke, previous history of myocardial infarction, congestive heart failure, atrial fibrillation, and diabetes were associated with CA. Conclusions: Cardiac arrest affects less than 5% of patients admitted with an acute ischemic stroke and is associated with poor outcomes. Less than 1% of patients were independent or discharged home.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".