Abstract TMP48: Current State Of Acute Stroke Thrombolysis In The MT2020+ Caribbean Region
Bibliographic record
Abstract
Introduction: Alteplase is the only FDA approved thrombolytic agent for acute ischemic stroke, tenecteplase is rapidly emerging as an alternative. While both agents are readily available worldwide, low to middle income countries have limited access to acute treatment. To our knowledge, there is no validated tool available to objectively measure access to thrombolytic agents or barriers to routine clinical use. Methods: We develop the 17-item tPA Spot Check tool to assess utilization of acute stroke thrombolysis in multiple languages. This tool was used to evaluate the current state of clinical practices in the MT2020+ Caribbean Region. Data was analyzed via SPSS. Results: The survey was validated by three international experts with an Average Content Validity Index of 1 and a Universal Agreement index of 1 across three domains: local experience, financial constraints, and barriers to utilization.Survey response rate was 64% (73/114 responses) 46 in English, 14 in Spanish and 13 in French. Fifteen out of 44 MT2020+ Caribbean countries (34%) participated: Haiti, Dominican Republic, Jamaica, Puerto Rico, St. Lucia, Bermuda, Bahamas, Cayman Islands, Trinidad and Tobago, Barbados, Dominica, Venezuela, Nicaragua, Honduras, and Guadalupe. There was limited or no access to thrombolytic agents in 40% of countries surveyed, with 13% resorting to the use of streptokinase. Among cases treated with thrombolytics, 43% of patients had to pay out of pocket before treatment provided, 36% of treatment was paid by insurance plus patients and less than 10% were covered by insurance or governmental support respectively. Among 51% of countries survey, no acute thrombolytic treatment was provided for acute stroke in 2021 calendar year. Only 1 center treated more than 100 cases per year. Majority of respondents (88%) agreed there were barriers to acute stroke thrombolysis in the region. Absence of Stroke protocol (p<0.001), upfront cost of alteplase (p= 0.003) and access to CT scan (p=0.03) were independent predictors of fewer patients treated per year. Conclusion: This this survey brings light to an enormous disparity in care of stroke patients around the world, specifically in the MT2020+ Caribbean region. We create a valid tool can be used to assess local access to thrombolytic.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".