Bibliographic record
Abstract
Background: Intermittent EEG attenuations have relatively clear significance in pediatric populations, but a consistent clinical correlation has not been identified in adults. While generally seen in metabolic encephalopathies, the specific clinical correlates and prognostic value have not been determined. Methods: We prospectively collected 22 consecutive EEGs noted to have intermittent generalized attenuations. Baseline and discharge modified Rankin Scale (mRS), diagnosis at discharge, EEG altering medications, ICU admissions, relevant imaging, mental status, the location the patient was discharged to, and pertinent lab values were assessed. Results: Mean patient age was 73.7 (SD=11.0) at admission. Twelve of the twenty-two patients (55%) died during their course in hospital. Four patients (18.2%) did not have a change in mRS score from baseline to discharge, while most had an increase in their mRS scores reflecting increased disability. Twelve patients (55%) were admitted to the ICU or CCU during their time in hospital. The most common etiologies were metabolic encephalopathies, and often associated with triphasic waves. Conclusions: Intermittent generalized EEG attenuations in adults are associated with severe metabolic encephalopathies and poor outcome including high association with mortality. The physiologic mechanism of generalized attenuations in poorly understood. Patients with this pattern should be suspected of having a severe metabolic encephalopathy and treated accordingly.
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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 | 0.000 | 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) | 0.004 | 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".