Encephalitis and Catatonia Treated With ECT
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To describe 2 cases of encephalitis with neuropsychiatric symptoms including catatonia, compounded by neuroleptic use for delirious agitation culminating in malignant catatonia responsive to electroconvulsive therapy (ECT). BACKGROUND: Neuropsychiatric symptoms including catatonia can be manifestations of limbic encephalitis and encephalitides of unidentified etiology, including encephalitis lethargica. Catatonic features are often difficult to appraise in this context. This can easily lead to the use of neuroleptics, which may precipitate worsening of catatonia. METHOD: Medical, neurologic, and psychiatric histories, physical examination findings, results of laboratory, imaging and neurophysiologic investigations, and treatment response with medications and ECT were recorded. RESULTS: Both patients showed significant improvement with ECT. CONCLUSIONS: Malignant catatonia can complicate encephalitis lethargica and idiopathic limbic encephalitis, which already carry high mortality rates. When neuroleptics are used for agitation in cases of encephalitis, physicians must be wary of precipitating malignant catatonia and neuroleptics should be discontinued when such a danger emerges. Although lorazepam is helpful in treating catatonia, it may not suffice, as in the cases presented. ECT deserves serious consideration early in the course of malignant catatonia and for catatonia nested in encephalopathy secondary to encephalitis, unresolved with lorazepam.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it