Predictors of Postthrombolysis Outcome and Symptomatic Postthrombolysis Hemorrhage following Intravenous Thrombolysis with Alteplase for Acute Ischemic Stroke
Bibliographic record
Abstract
Abstract Background Thrombolysis improves the outcome in acute ischemic stroke (AIS), albeit with an increased risk of symptomatic intracranial hemorrhage (sICH). Biomarkers to find patients at risk of sICH, and guide treatment and prognosis would be valuable. Methods Consecutive patients of AIS thrombolysed between February 2017 and September 2019 at Calcutta National Medical College were studied prospectively for sICH and outcome at 6-month follow-up. We identified the independent risk factors for unfavorable outcomes, mortality, and sICH using multivariate analysis. Prethrombolysis and 24-hour postthrombolysis fibrinogen levels were estimated to evaluate its biomarker role. Results Out of 180 AIS patients admitted during the study period, 60 patients were thrombolysed. Door to needle time was <3 hours among 24 patients and 3 to 4.5 hours among 36 patients. Favorable outcomes occurred among 76.67% and sICH occurred among 13.33% patients. Upper tertile of National Institute of Health Stroke Scale (NIHSS) had the highest adjusted odds for sICH (17.5 [95% confidence intervals=1.7–178.44]). Total anterior circulation stroke had the highest adjusted odds for unfavorable outcome (19.11 [3.9–92.6]). Following thrombolysis, the mean (standard deviation) fibrinogen level of 449.27 (32.87) decreased 7% to postthrombolysis level of 420 (20.5; p< 0.0001). Higher tertiles of fibrinogen levels had progressively increasing odds for morbidity and sICH. Conclusion Congestive heart failure, hypertension, age ≥75 years, diabetes mellitus, stroke (double weight), i.e., CHADS2 score >2, low ejection fraction, the occurrence of total anterior circulation stroke and higher mean arterial blood pressure, blood glucose level, NIHSS score, and fibrinogen at admission were the common risk factors significantly predicting postthrombolysis sICH and morbidity. Antiplatelet and anticoagulant therapy, lower ASPECT (Alberta Stroke Program Early CT Score), and higher SEDAN scores also predicted sICH . Fibrinogen levels were significantly higher among those developing sICH and having unfavorable outcome. The performance of thrombolysis within 3 hours or between 3 and 4.5 hours after symptom onset did not affect morbidity, mortality, or the occurrence of sICH.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".