Thyroid Storm in a Toddler Presenting as a Febrile Seizure
Bibliographic record
Abstract
Although simple febrile seizures are relatively common and benign in toddlers, it is important to rule out any underlying critical disease that necessitates further intervention and treatment. Thyroid storm, the extreme manifestation of hyperthyroidism, is relatively rare and not often considered in the differential diagnosis of a febrile seizure despite its high mortality rate. Here, we report 1 of the youngest patients with thyroid storm, who initially presented with a febrile seizure. After reevaluation, the 2-year-9-month-old patient was discovered to have thyromegaly, which led to recognition that her persistent tachycardia and widened pulse pressure were likely signs of thyrotoxicosis. Laboratory results were consistent with primary hyperthyroidism due to Graves' disease. Thyroid storm was then diagnosed on the basis of clinical features including gastrointestinal and central nervous system disturbances. Treatment with methimazole, propranolol, hydrocortisone, and Lugol's iodine solution was used. This medication regimen was safe and effective with restoration of a euthyroid state after 2 months and no recurrence of seizures. Improved awareness of hyperthyroidism and thyroid storm can lead to prompt diagnosis and treatment of this endocrine emergency, thus reducing mortality and morbidity. Pediatricians should consider this diagnosis in children with febrile seizures and suggestive vital signs and physical examination findings.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".