Abstract WMP92: Quality of Care and Outcomes for Acute Ischemic Stroke Patients Admitted During the International Stroke Conference
Bibliographic record
Abstract
Introduction: Patients who present to the hospital during off-hours receive sub-optimal care and experience worse outcomes, often attributed to reduced staffing. It is unknown whether stroke patients receive less guideline-adherent care and experience worse outcomes when medical providers attend scientific meetings. The AHA International Stroke Conference (ISC) is the premier US conference for cerebrovascular disease and is well attended by stroke clinicians. Methods: The national Get With The Guidelines - Stroke (GWTG-Stroke) dataset was analyzed from 2009-2015 to identify acute ischemic stroke (AIS) patients admitted during: 1) the week of ISC, and 2) the 2 weeks before and 2 weeks after ISC. We compared adherence to GWTG-Stroke quality measures and outcomes for AIS patients admitted during these two time periods using univariable and multivariable analysis, including both patient and hospital level variables. Results: Overall, 69,738 AIS patients were included, mean age 72, 52% female, and 29% non-white. There was no difference between the average weekly number of AIS cases admitted during ISC weeks versus non-ISC weeks (1,984 vs 1,997, p= 0.95). Patient and hospital characteristics were also similar between ISC vs. non-ISC time periods. No significant differences were noted in 14 quality of care metrics and 5 clinical outcomes between AIS patients treated during ISC vs. non-ISC weeks (Table). After adjusting for potential confounders, among patients who presented within 2 hours of onset there was no difference in the likelihood of receiving IV tPA within 3 hours (adjusted odds ratio 0.89, 95% confidence interval [CI] 0.77 - 1.03, p=0.13), nor in the likelihood of receiving IV tPA within 60 minutes of arrival (adjusted odds ratio 0.92, 95% CI 0.83 - 1.02, p=0.13). Conclusions: The treatment and outcome of patients who present with AIS to a GWTG-Stroke participating hospital are not degraded during the week of the International Stroke Conference.
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.012 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".