P.017 Nutritional deficiency: A mysterious case of psychosis and seizures
Bibliographic record
Abstract
Background: As a neuroactive steroid, vitamin D is essential for optimal neuronal functioning1. Its immunomodulatory and neuroprotective effects aid in reduction of proconvulsant cytokines, membrane excitability and seizure prevention2-3. Deficiency plays an important role in neurological and psychiatric illnesses, though clinical manifestation with seizures and psychosis have not been described. Methods: A 61-year-old female presented with 3-day history of confusion, insomnia and new onset seizure. She was noted to have poor dentition, deformed nail bed and multiple ecchymosis. Neurologically, there were brisk reflexes with some spread. She worsened with frequent seizures and psychosis. Results: Laboratory investigation showed serum Vitamin D level of 19nmol/L, hemoglobin of 70g/L. MRI head revealed T2 hyperintensities in bilateral anterolateral temporal lobes and EEG consistent with bitemporal lobe epilepsy. Autoimmune and infectious work up were negative. Treatment with antipsychotics, several antiepileptics, high dose Vitamin-D and iron supplements were initiated. Initially, she remained unresponsive to neuro/psych medications. Improvement in clinical symptoms was noticed in 4th week of admission, with complete resolution of MRI, EEG findings. Conclusions: Evidence surrounding hypovitaminosis D and risk on the central nervous system continues to grow. This case highlights the significance of vitamin-D on brain processes and its neurological manifestations in state of deficiency. 1. Kalueff.A.,2006. 2. Garcion. E, 2003. 3. Eyles, D., 2013.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".