Acute pancreatitis and severe hypertriglyceridaemia masking unsuspected underlying diabetic ketoacidosis
Bibliographic record
Abstract
A healthy 18-year-old girl presented to a local emergency room with 48 h of abdominal pain and vomiting. A radiological and biochemical diagnosis of moderate acute pancreatitis was made. Bloodwork demonstrated prominent hypertriglyceridaemia (HTG) of 19.5 mmol/L (severe HTG: 11.2-22.4), detectable urine ketones and a random blood glucose of 13 mmol/L dropping to 10.5 mmol/L on repeat (normal random <11). Ketone levels were deemed consistent with fasting ketosis after 48 h of vomiting. There was no known history of diabetes in the patient. Management included aggressive rehydration and pain control, yet the patient rapidly decompensated into shock requiring intensive care unit support. Blood gases revealed severe metabolic acidosis (pH 6.99) and unsuspected underlying diabetic ketoacidosis was diagnosed. The HTG gradually resolved following intravenous fluids and insulin infusion with slower correction of the metabolic acidosis. Importantly, her glycated haemoglobin was 12%, indicating the silent presence of chronic glucose elevations.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| 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".