Abstract T MP77: Intraventricular Hemorrhage and Long-term Incontinencea and Dysmobility After Intracerebral Hemorrhage
Bibliographic record
Abstract
Background: After intracerebral hemorrhage (ICH), intraventricular hemorrhage (IVH) is associated with worse short- and long-term disability. Similar to other ventricular diseases, we hypothesized that IVH may be associated with urinary incontinence and gait disturbance. Methods: The Ethnic/Racial Variations of Intracerebral Hemorrhage (ERICH) study is a multi-center, prospective, study of ICH among whites, blacks, and Hispanics. Baseline CT images were analyzed for ICH location and volume, and IVH volume and presence. Incontinence and dysmobility were obtained by Barthel Index at 3 months post stroke. Multivariable logistic regression analysis was used to assess risk factors for incontinence and dysmobility. ICH and IVH volumes were log transformed to minimize extreme volumes influence on models. Results: Between 8/1/10 and 12/31/13, 2276 cases of ICH were enrolled. Of these, 250 died and 372 were lost to follow-up by 3 months. After removing cases with premorbid modified Rankin (mRankin) >3, lacking Barthel index or imaging, IVH was present in 487 (37.7%) of 1290 cases. Hypertension (88% vs. 84%; p=0.03), larger ICH volume (median 11.1 ml vs. 7.9 ml; p<.0001), and deep ICH (67% vs. 49%; p<.0001) were associated with IVH. Age, sex, anticoagulant use, and pre-stroke mRankin were not. At 3 months, cases with IVH were more likely to have incontinence (41% vs. 20%; p<.0001) and impaired mobility (58% vs. 33% <.0001). After controlling for ICH volume, age, pre-stoke mRS, baseline Glasgow Coma Scale, and sex, IVH volume was independently associated with incontinence and dysmobility (Table). Conclusion: We found that IVH after ICH is associated with developing long-term incontinence and dysmobility similar to other non-stroke ventricular disease patients. This finding may explain, in part, how IVH continues to affect outcomes after the resolution of IVH.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.009 | 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".