Discharge Site Is Associated With Long-Term Functional Outcomes in Patients With Ruptured Intracranial Aneurysms
Bibliographic record
Abstract
ABSTRACT Objective: To evaluate the impact of discharge destination on long-term functional outcomes in patients with aneurysmal subarachnoid hemorrhage (aSAH) and its association with achieving functional independence. Methods: This retrospective cohort study included patients with aSAH treated endovascularly at a tertiary neurovascular center between October 2019 and November 2024. Patients who died before hospital discharge were excluded. Group comparisons were performed using one-way analysis of variance, Kruskal–Wallis, paired-sample t-tests and Pearson’s χ 2 . Multivariable logistic regression was used to assess the association between discharge site and functional independence achievement, adjusting for age, sex, World Federation of Neurosurgical Societies (WFNS) grade and modified Rankin Scale (mRS) score at discharge. Results: A total of 213 patients (mean age 55.9 ± 13.7 years; 77% female) were included. Hypertension (57.7%) and previous smoking (45.1%) were the most common risk factors. Significant differences in age, sex, WFNS grade and modified Fisher Scale scores were observed across discharge groups. While patients discharged home had better overall outcomes, those with poor WFNS grades showed greater reductions in mRS at 6 and 12 months when discharged to an acute rehabilitation center. Regression analysis demonstrated that discharge to an acute rehabilitation center was independently associated with higher odds of functional independence, while discharge to a primary care hospital decreased these odds. Conclusion: Discharge to a primary care hospital after aSAH was associated with worse long-term outcomes. In contrast, early transfer to an acute rehabilitation center significantly improved functional independence, particularly among patients with poor baseline neurological status.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".