Abstract TMP79: Use of Intravenous Tissue Plasminogen Activator in Patients With History of Prior Stroke Plus Diabetes Mellitus
Bibliographic record
Abstract
Background: Patients with history of diabetes mellitus (DM) plus prior ischemic stroke were excluded from ECASS III trial due to safety concerns. However, there are few data on use of intravenous tissue plasminogen activator (IV tPA) and risk of symptomatic intracranial hemorrhage (sICH) or outcomes in this population. Methods: Using data from the Get With The Guidelines-Stroke Registry (GWTG-Stroke) between February 2009 and September 2017 (n=1619 hospitals), we examined characteristics and outcomes among AIS patients treated with tPA within the 3-4.5 hour window who had a history of prior stroke and DM (n=2129) versus those without either history (n=16,690). Results: Compared with patients without either history, those with prior stroke and DM had a higher prevalence of cardiovascular risk factors and more severe stroke (Table). The unadjusted rates of sICH and in-hospital mortality were 4.3% vs 3.8% and 6.2% vs 5.5%, respectively. These differences were not statistically significant after risk adjustment (sICH, adjusted odds ratio [OR] 0.79[95% CI, 0.51-1.21], p=0.28; in-hospital mortality OR 0.77 [95% CI, 0.52-1.14], p=0.19). Unadjusted rate of functional independence (Modified Rankin Scale score [mRS] 0-2) at discharge was lower in those with history of prior stroke and diabetes (30.9% vs 44.8%, p=<0.0001), this difference persists after adjusting for baseline clinical factors (adjusted OR 0.76 [95% CI, 0.59-0.99], p=0.04). During the study period, there were 339 patients otherwise eligible for IV tPA, arriving within 0-3.5 hours, but not treated with IV tPA due to history of prior stroke and DM. Conclusion: Among AIS patients treated with intravenous tPA within the 3-4.5 hour window, history of prior stroke plus DM was not associated with statistically significant increased sICH or mortality risk.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".