Lactic Acidosis and Electrolyte Disturbances Associated With Hypertriglyceridemia in an Adolescent Receiving Chemotherapy for Acute Lymphoblastic Lymphoma
Bibliographic record
Abstract
Given the association of lactic acidosis with inadequate tissue perfusion and poor clinical outcomes, an aggressive investigation and alterations in supportive and therapeutic care are needed for patients with lactic acidosis. However, other etiologies of lactic acidosis may exist, including disorders of excessive production or inadequate clearance. Several of these fall under the category known as "type B" lactic acidosis. We present a 17-year-old female with acute lymphoblastic leukemia who was admitted to the pediatric intensive care unit (PICU) for evaluation of lactic acidosis and severe hyponatremia. Subsequent evaluation argued against pathologic etiologies of lactic acidosis, leading to the conclusion that the high lactic acid laboratory value was caused by hypertriglyceridemia.
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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 | 0.001 | 0.001 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".