Race/Ethnic Differences in the Risk of Hemorrhagic Complications Among Patients With Ischemic Stroke Receiving Thrombolytic Therapy
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Race/ethnic-related differences in safety of intravenous thrombolytic therapy have been shown in patients with myocardial infarction, but not studied in ischemic stroke. METHODS: Using data from the Get With The Guidelines (GWTG)-Stroke program (n=54 334), we evaluated differences in risk-adjusted bleeding rates (any, symptomatic intracerebral hemorrhage [sICH], serious life-threatening [excluding sICH], or other) and mortality in white (n=40 411), black (n=8243), Hispanic (n=4257), and Asian (n=1523) patients receiving intravenous tissue-type plasminogen activator (tPA) for acute ischemic stroke. RESULTS: Compared with white patients, overall adjusted hemorrhagic complications after tPA were higher in black (odds ratio, 1.14, 95% confidence interval, 1.04-1.28) and Asian (odds ratio, 1.36, 95% confidence interval, 1.14-1.61) patients. Overall adjusted bleeding complications in Hispanics were similar to those of whites. Increased risk of overall bleeding in Asians was related to higher risk of adjusted sICH (odds ratio, 1.47, 95% confidence interval, 1.19-1.82), whereas in blacks, it was related to higher risk of other bleeding. No significant race-related difference was noted in risk of serious or life-threatening bleeding or in overall mortality or death in patients with sICH or any hemorrhagic complications. CONCLUSIONS: In patients with stroke receiving tPA, hemorrhagic complications were slightly higher in blacks and Asians, but not in Hispanics compared with whites. Asians also faced significantly higher risk for sICH relative to other race/ethnic groups. Future studies are needed to evaluate whether reduction in tPA dose similar to that used in many Asian countries could improve the safety of tPA therapy in Asians in the United States with acute ischemic strokes while maintaining efficacy.
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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 | 0.000 |
| 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) | 0.001 | 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".