Characteristics, Performance Measures, and In-Hospital Outcomes of the First One Million Stroke and Transient Ischemic Attack Admissions in Get With The Guidelines-Stroke
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Stroke results in substantial death and disability. To address this burden, Get With The Guideline (GWTG)-Stroke was developed to facilitate the measurement, tracking, and improvement in quality of care and outcomes for acute stroke and transient ischemic attack (TIA) patients in the United States. METHODS AND RESULTS: We analyzed the characteristics, performance measures, and in-hospital outcomes in the first 1 000 000 acute ischemic stroke, intracerebral hemorrhage, subarachnoid hemorrhage, and TIA admissions from 1392 hospitals that participated in the GWTG-Stroke Program 2003 to 2009. Patients were 53.5% women, 73.3% white, and with mean age of 70.1+/-14.9 years. There were 601 599 (60.2%) ischemic strokes, 108 671 (10.9%) intracerebral hemorrhages, 34 945 (3.5%) subarachnoid hemorrhages, 26 977 (2.7%) strokes not classified, and 227 788 (22.8%) TIAs. Performance measures showed small to moderate differences by cerebrovascular event type. In-hospital mortality rate was highest among intracerebral hemorrhage (25.0%) and subarachnoid hemorrhage (20.4%), and intermediate in ischemic stroke (5.5%) patients and lowest among TIA patients (0.3%). Significant improvements over time from 2003 to 2009 in quality of care were observed: all-or-none measure, 44.0% versus 84.3% (+40.3%, P<0.0001). After adjustment for patient and hospital variables, the cumulative adjusted odds ratio for the all-or-none measure over the 6 years was 9.4 (95% confidence interval, 8.3 to 10.6, P<0.0001). Temporal improvements in length of stay and risk-adjusted in-hospital mortality rate (for ischemic stroke and TIA) were also observed. CONCLUSIONS: With more than 1 million patients enrolled, GWTG-Stroke represents an integrated stroke and TIA registry that supports national surveillance, innovative research, and sustained quality improvement efforts facilitating evidence-based stroke/TIA care.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it