Intraventricular Hemorrhage Volume Predicts Poor Outcomes But Not Delayed Ischemic Neurological Deficits Among Patients With Ruptured Cerebral Aneurysms
Bibliographic record
Abstract
BACKGROUND: Intraventricular hemorrhage (IVH) predicts worse outcomes following aneurysmal subarachnoid hemorrhage (SAH). One potential mechanism is that IVH predisposes to the development of delayed ischemic neurological deficits (DINDs). No previous studies have evaluated the association between IVH volume (in milliliters) and subsequent development of DINDs or poor outcomes. OBJECTIVE: To assess the association between the volume of IVH and the subsequent development of DINDs, delayed cerebral infarction, death, and poor neurological outcomes, specifically among patients with concomitant SAH and IVH. METHODS: We performed a cohort study involving 152 consecutive patients with concomitant SAH and IVH. To determine volume of IVH, we used the IVH Score, shown to correlate well with computerized volumetric assessment. To determine the relative quantity of subarachnoid blood, we applied the SAH Sum Score. Multivariate logistic regression was used to adjust for potential confounders. RESULTS: There was no significant association between IVH volume and the development of DINDs or delayed infarction. In contrast, patients with poor neurological outcomes had significantly larger baseline IVH volume (mean, 11.8 mL vs 3.8 mL, P = .001). In the multivariate analysis, IVH volume was an independent predictor of poor outcomes (OR per mL: 1.11 [1.04-1.18]). Patients in the highest quartile for IVH volume were far more likely to progress to poor outcome compared with those in the lowest quartile (OR 4.09 [1.32-12.65]). Interobserver agreement in the determination of IVH Score was moderate to good. CONCLUSIONS: IVH volume is an independent predictor of poor neurological outcomes, even after adjusting for the amount of subarachnoid blood. The pathophysiology of this association does not appear to involve an increased risk of DINDs or delayed infarction. Measures aimed at accelerating IVH clearance, such as intraventricular thrombolysis, merit further evaluation.
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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 | 0.000 |
| 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".