Abstract TMP74: Stroke And Pulmonary Embolism, Clinical Features, Risk Factors And Outcome
Bibliographic record
Abstract
Introduction: Pulmonary embolism (PE) is an uncommon medical complication after stroke. Predisposing factors include deep vein thrombosis (DVT) in patients with hemiplegia or an underlying hypercoagulable state. However, little information is known regarding PE in stroke patients. Objective: We evaluated clinical characteristics, predisposing factors, and outcomes in stroke patients who developed PE. Methods: We included patients with an acute ischemic stroke (AIS) admitted to the participating institutions in the Registry of the Canadian Stroke Network between 2003 to 2008. Pulmonary embolism was diagnosed by nuclear imaging within 30 days of the stroke case index. Demographic data and clinical variables were collected. Logistic regression and survival analyses were completed to determine the association of risk factors with the outcomes of interest. Outcome Measures: primary outcome was death or disability at discharge defined as the modified Rankin scale >3. Secondary outcomes include admission to the Intensive Care Unit, disposition, and length of hospital stay, death at 3 months and at 1 year. Results: Among 11,287 patients with AIS, PE was found in 89 (0.78%) of patients. The development of PE was associated with higher risk of death in 30 days (25.8%vs 13.6%;p <0.001) and 1 year, (47.2% vs 24.6%;p <0.001). Disability was also more common in stroke patients with PE (85.4% vs 63.6% without PE; p <0.001). Mean length of stay was longer in stroke patients with PE (36 vs 16 days; p<0.001). Past medical history of cancer or deep vein thrombosis, history of cardiac arrest or deep vein thrombosis during admission were associated with PE. After adjustment, PE was associated with lower survival at 30 days (p value = 0.0012) and 1 year (p value < 0.0001) (Figures 1 & 2 represent survival function). Conclusions: In this large study, PE occurs in approximately 1% of AIS patients. PE was associated with higher disability, longer length of stay and lower short and long-term survival.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".