Abstract TP75: Safety and Outcome of Thrombolysis in Acute Stroke with Prolonged Onset-to-Treatment Times and Low National Institute of Health Stroke Scale Scores. Report on Experience in China, First 1000 Patients of 3300 Treated
Bibliographic record
Abstract
Introduction: Stroke in China is the leading cause of death. We report on a collaboration between a large metropolitan hospital in China, Tianjin Huanhu Hospital, and Inova Fairfax and Inova Alexandria Stroke Programs presenting data on the first 1000 (of more than 3300 treated since 2012) patients treated with IV-rtPA. The safety and efficacy of treatment with rtPA between 4.5-6 hours after onset is unclear. Similarly there is little data on outcome of patients treated with rtPA with normal or low NIHSS. Methods: Patients were treated with thrombolysis between late 2012 and fall of 2014. Patients had MRI scans at 24 hours. Patients had NIHSS scores before and after treatment, and modified Rankin Scores (mRS) at 90 days after treatment. Results: See Chart. Conclusions: 1) IV-rtPA can be given safely between 4.5-6 hours without significant risk of sICH and worsening outcomes. 2) Higher NIHSS before thrombolysis was correlated with poorer outcomes. 3) There was no significant correlation between onset to treatment time up to 6 hours and outcome. 4) Outcome was excellent (mRS 0-1) in 72% treated 0-3 hours, 74% 3-4.5 hours and remarkably 85% 4.5-6 hours. The data set includes many patients who were asymptomatic or nearly so prior to treatment. This will need to be more fully evaluated in the remainder (2300) of this cohort of more than 3300 treated patients. Comment: This cohort represents one of the largest series of acute stroke patients treated with IV-rtPA > 4.5 hours after onset. It also reveals outcome of treatment in patients with low NIHSS treated at various intervals after last know well.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".