Designated Stroke Center Status and Hospital Characteristics as Predictors of In-Hospital Mortality among Hemorrhagic Stroke Patients in New York, 2008-2012
Bibliographic record
Abstract
BACKGROUND: Although designated stroke centers (DSCs) improve the quality of care and clinical outcomes for ischemic stroke patients, less is known about the benefits of DSCs for patients with intracerebral hemorrhage (ICH) and subarachnoid hemorrhage (SAH). HYPOTHESIS: Compared to non-DSCs, hospitals with the DSC status have lower in-hospital mortality rates for hemorrhagic stroke patients. We believed these effects would sustain over a period of time after adjusting for hospital-level characteristics, including hospital size, urban location, and teaching status. METHODS AND RESULTS: We evaluated ICH (International Classification of Diseases, Ninth Revision; ICD-9: 431) and SAH (ICD-9: 430) hospitalizations documented in the 2008-2012 New York State Department of Health Statewide Planning and Research Cooperative System inpatient sample database. Generalized estimating equation logistic regression was used to evaluate the association between DSC status and in-hospital mortality. We calculated ORs and 95% CIs adjusted for clustering of patients within facilities, other hospital characteristics, and individual level characteristics. Planned secondary analyses explored other hospital characteristics associated with in-hospital mortality. In 6,352 ICH and 3,369 SAH patients in the study sample, in-hospital mortality was higher among those with ICH compared to SAH (23.7 vs. 18.5%). Unadjusted analyses revealed that DSC status was related with reduced mortality for both ICH (OR 0.7, 95% CI 0.5-0.8) and SAH patients (OR 0.4, 95% CI 0.3-0.7). DSC remained a significant predictor of lower in-hospital mortality for SAH patients (OR 0.6, 95% CI 0.3-0.9) but not for ICH patients (OR 0.8, 95% CI 0.6-1.0) after adjusting for patient demographic characteristics, comorbidities, hospital size, teaching status and location. CONCLUSIONS: Admission to a DSC was independently associated with reduced in-hospital mortality for SAH patients but not for those with ICH. Other patient and hospital characteristics may explain the benefits of DSC status on outcomes after ICH. For conditions with clear treatments such as ischemic stroke and SAH, being treated in a DSC improves outcomes, but this trend was not observed in those with strokes, in those who did not have clear treatment guidelines. Identifying hospital-level factors associated with ICH and SAH represents a means to identify and improve gaps in stroke systems of 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 | 0.000 |
| 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 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".