Symptomatic intracerebral hemorrhage and recanalization after IV rt-PA
Bibliographic record
Abstract
BACKGROUND: Symptomatic intracerebral hemorrhage (sICH) is the most unfavorable complication after IV thrombolytic treatment. We aimed to determine the relationship between early recanalization and the risk of sICH. METHODS: Patients with acute stroke received IV tissue plasminogen activator (rt-PA) within 3 hours of symptom onset with transcranial Doppler (TCD) monitoring at four academic centers. sICH was defined as parenchymal hemorrhage on CT in relation to neurologic worsening (NIH Stroke Scale [NIHSS] > or = 4) within 72 hours after treatment. Poor outcome was defined as modified Rankin Scale 3-6 at 3 months. Early recanalization was graded with Thrombolysis in Brain Ischemia (TIBI) system. Multiple logistic regression analyses were used to identify predictors of sICH. RESULTS: A total of 349 patients received rt-PA at median 134 +/- 32 minutes (mean age 69 +/- 13 years, 186 men [53%]). Median pretreatment NIHSS score was 16 points (interquartile range: 12-20). Median time to TCD was 130 +/- 40 minutes. At the end of rt-PA infusion, 135 patients (38%) had no recanalization, 101 (29%) partial, and 113 (32%) complete recanalization. sICH occurred in 26 patients (7.4%). Of the 135 patients without early recanalization, 18 (13%) had sICH, as compared to 4 (4%) of the 109 subjects with partial recanalization and 4 (3.5%) of 113 with complete recanalization, p = 0.005. After adjustment for age, sex, baseline NIHSS score, glucose, blood pressure, and time to treatment, patients with persistent occlusion had sixfold higher risk of sICH (OR = 6, 95% CI 1.5-21.3, p = 0.01). CONCLUSION: The risk of tPA-related symptomatic intracerebral hemorrhage (sICH) is low after early and complete restoration of blood flow. Arterial occlusion persistent beyond tissue plasminogen activator infusion emerges as an independent predictor of higher risk of sICH in patients treated with systemic thrombolysis.
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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 | 0.003 |
| 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 | 0.000 |
| 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".