Race-Ethnic Disparities in Rates of Declination of Thrombolysis for Stroke
Bibliographic record
Abstract
Background and objectivesPrior regional or single-center studies have noted that 4% to 7% of eligible patients with acute ischemic stroke (AIS) decline IV tissue plasminogen activator (tPA). We sought to determine the prevalence of tPA declination in a nationwide registry of patients with AIS and to investigate differences in declination by race/ethnicity.MethodsWe used the Get With The Guidelines-Stroke registry to identify patients with AIS eligible for tPA and admitted to participating hospitals between January 1, 2016, and March 28, 2019. We compared patient demographics and admitting hospital characteristics between tPA-eligible patients who received and those who declined tPA. Using multivariable logistic regression, we determined patient and hospital factors associated with tPA declination.ResultsAmong 177,115 tPA-eligible patients with AIS at 1,976 sites, 6,545 patients (3.7%) had tPA declination as the sole documented reason for not receiving tPA. Patients declining treatment were slightly older, were more likely to be female, arrived more often at off-hours and earlier after symptom onset, and were more likely to present to Primary Stroke Centers. Compared with non-Hispanic White, non-Hispanic Black race/ethnicity was independently associated with increased (adjusted odds ratio [aOR] 1.21, 95% CI 1.11-1.31), Asian race/ethnicity with decreased (aOR 0.72, 95% CI 0.58-0.88), and Hispanic ethnicity (any race) with similar odds of tPA declination (OR 0.98, 95% CI 0.86-1.13) in multivariable analysis.DiscussionAlthough the overall prevalence of tPA declination is low, eligible non-Hispanic Black patients are more likely and Asian patients less likely to decline tPA than non-Hispanic White patients. Reducing rates of tPA declinations among non-Hispanic Black patients may be an opportunity to address disparities in stroke care.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".