Minding The Gap: Severe Anion Gap Metabolic Acidosis Associated With 5-Oxoproline Secondary To Chronic Acetaminophen Use
Bibliographic record
Abstract
An 89-year-old man with multiple comorbidities presented to the emergency department with diffuse abdominal pain and dyspnea. He was found to have a severe anion-gap metabolic acidosis with the normal osmolar gap. An initial panel of investigations for common causes of anion-gap metabolic acidosis was unremarkable. Further history revealed long-term daily acetaminophen use. A presumptive diagnosis of 5-oxoprolinemia secondary to chronic acetaminophen use was made. Despite supportive care, the patient did not survive. There is emerging literature on elevated anion gap metabolic acidosis induced by the accumulation of 5-oxoproline, an intermediate organic acid in the gamma-glutamyl cycle. A quantitative profile of urinary organic acids to measure 5-oxoproline is valuable in confirming the diagnosis. Treatment is largely supportive, consisting of cessation of acetaminophen, alkali therapy, and N-acetylcysteine. Clinicians should consider 5-oxoprolemia in patients who present with an otherwise unexplained anion gap metabolic acidosis and a history of chronic acetaminophen use.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".