Shoshin Beriberi in a Child With Intestinal Failure: A Case Report
Bibliographic record
Abstract
BACKGROUND: Acute illness states with increased metabolic demand can precipitate severe thiamine deficiency if physiologic needs exceed endogenous stores and supplementation. Patients with preexisting risk factors such as parenteral nutrition (PN) dependence, eating disorders, gastrointestinal disorders, or surgeries are especially vulnerable. CASE SUMMARY: A 9-year-old girl with short bowel syndrome receiving long-term PN, including standard thiamine supplementation, presented with refractory shock following aspiration. Profound hyperlactatemia, cardiac dysfunction, and vasoactive requirements persisted despite extracorporeal membrane oxygenation and resolved only after treatment with parenteral thiamine. CONCLUSIONS: Hemodynamic collapse due to thiamine deficiency (Shoshin beriberi) may occur during acute illness in children with nutritional risk factors and should be considered in refractory hyperlactatemia. Timely treatment with parenteral thiamine can support dramatic hemodynamic recovery. Treatment of suspected thiamine deficiency should not be delayed for laboratory confirmation as current thiamine reference ranges correlate poorly with clinical severity, and functional testing may not be readily available.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".