Abstract P104: Incidence, Characteristics and Outcomes of Large Vessel Stroke in Covid-19: An International Multicenter Study
Bibliographic record
Abstract
Background: While there are reports of acute ischemic stroke (AIS) in COVID-19 patients, the overall incidence of acute ischemic stroke and clinical characteristics of large vessel occlusion in such patient remains to be established. Methods: A retrospective, international multicenter study of large vessel occlusion (LVO) was undertaken from March 1 to May 1, 2020 at 12 stroke centers from 4 countries. Detailed data were collected on consecutive LVOs in hospitalized patients with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and the incidence of AIS/LVO was measured. Among patients who underwent mechanical thrombectomy, stroke outcomes along with COVID-19 symptoms were reported. Results: Out of a total of 6698 COVID-19 patients admitted to 10 stroke centers, the incidence of stroke was found to be 1.3% (range 0.6-2.6%). The median age of patients who presented with LVO was 51 years (range 27-87) and in the US centers, African Americans comprised 28% of all patients. Ten patients (16 %) were less than 50 years of age with no significant risk factors for LVOs the vast majority. Among the LVOs eligible for MT, the average time to presentation from symptom onset to presentation was 9.3 hours. Successful revascularization was achieved in 81% of patients and the intracranial hemorrhage rate was 14% with no symptomatic hemorrhages. Twenty-one (50%) patients were either discharged to home or to acute rehabilitation facilities. Conclusion: LVOs was predominant in patients with AIS and COVID-19, occurring at a significantly younger age and affecting African Americans disproportionately.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".