Quality of Life and Healthcare Resource Use Associated With Angiographic Vasospasm After Aneurysmal Subarachnoid Hemorrhage
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: In this analysis of data from a large clinical trial in aneurysmal subarachnoid hemorrhage, the impact of angiographic vasospasm (aVSP) on specific patient outcomes and inpatient healthcare resource use was assessed. METHODS: This was a post hoc analysis of exploratory end points collected for 409 patients with aneurysmal subarachnoid hemorrhage in the Clazosentan to Overcome Neurological Ischemia and Infarction Occurring After Subarachnoid Hemorrhage (CONSCIOUS-1) trial. Central reviewers graded severity of aVSP as none, mild, moderate, or severe based on comparison of catheter angiograms obtained at baseline and 7 to 11 days after aneurysmal subarachnoid hemorrhage. Assessments of cognitive status (Mini-Mental State Examination) and patient-relevant outcomes (EuroQol total score and visual analog scale and Functional Status Examination) were administered at Week 12. The relationship between severity of aVSP and these end points as well as inpatient healthcare resource use (intensive care, general ward, and total hospital lengths of stay) was assessed using univariate and multivariate analyses. RESULTS: Cognitive status and all patient-relevant outcome measures varied significantly (P<0.0001) with severity of aVSP (mean for severe aVSP versus no aVSP, respectively: Mini-Mental State Examination, 18.0 versus 27.6; EuroQol total, 0.38 versus 0.74; EuroQol visual analog scale, 50.9 versus 75.5; Functional Status Examination, 20.5 versus 11.7). A significant inverse relationship with severity of aVSP was observed for total hospital days (P=0.008) and days in the intensive care unit (P<0.0001). On average, patients with severe aVSP stayed in the hospital 5 days longer than those with no aVSP. CONCLUSIONS: Severe aVSP is associated with poor cognition, worse patient-relevant outcomes, and greater inpatient healthcare resource use. Future studies assessing new aVSP treatments should include outcome measures that evaluate quality of recovery among survivors.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".