Abstract T P231: Does Intraventricular Hemorrhage Lead to a Normal Pressure Hydrocephalus-Like Syndrome?
Bibliographic record
Abstract
Background: Intracerebral hemorrhage (ICH) has the highest short and long-term morbidity and mortality rates of stroke subtypes. While increased intracranial pressure due to the presence of intraventricular hemorrhage (IVH) may relate to early poor outcomes, the mechanism of reduced 3-month outcome with IVH is unclear. We hypothesized that IVH may cause symptoms similar to normal pressure hydrocephalus (NPH), specifically urinary incontinence and gait disturbance. Methods: We used interviewed cases from the Genetic and Environmental Risk Factors for Hemorrhagic Stroke Study (7/1/08-12/31/12) that had 3-month follow-ups available. CT images were analyzed for ICH volume and location, and IVH presence and volume. Incontinence and dysmobility were defined by Barthel Index at 3 months. We chose a Barthel Index score of bladder less than 10 and mobility less than 15 to define incontinence and dysmobility, respectively. Multivariate analysis was used to assess independent risk factors for incontinence and dysmobility. ICH and IVH volumes were log transformed because of non-normal distributions. Results: Barthel Index was recorded for 308 ICH subjects, of whom 106 (34.4%) had IVH. Presence of IVH was independently associated with both incontinence (OR 2.7; 95% CI 1.4-5.2; p=.003) and dysmobility (OR 2.5; 95% CI 1.4-4.8; p=.003). The Table shows that increasing IVH volume was also independently associated with both incontinence and dysmobility after controlling for ICH location, ICH volume, age, baseline mRS, and admission GCS. Conclusion: Our data show that patients with IVH after ICH are at an increased risk for developing the NPH-like symptoms of incontinence and dysmobility. This may explain the worse long-term outcomes of patients who survive ICH with IVH than those who had ICH alone. Future studies are needed to confirm this finding, and to determine the effect of IVH interventions such as shunt or intraventricular thrombolysis.
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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 | 0.000 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".