Lactation Ketoacidosis in a COVID- 19 patient: A Case Report
Bibliographic record
Abstract
Lactation ketoacidosis is an uncommon cause of high anion gap metabolic acidosis affecting breastfeeding women due to increased metabolic demands, reduction in carbohydrate intake, and acute illness. Meanwhile, recent literature showed that COVID-19 might cause ketosis, ketoacidosis, and diabetic ketoacidosis. We report a case of a 22-year-old lady, four weeks postpartum, with a confirmed diagnosis of COVID-19. She presented with severe symptomatic ketoacidosis with a high anion gap, ketonuria and hypoglycemia that was due to lactation ketoacidosis. She was not tolerating orally for days because of abdominal pain, vomiting, and viral infection. After proper treatment in the ward for the presenting symptoms of lactation ketoacidosis and refeeding, she rapidly improved and discharged five days later. While ketoacidosis may be induced by starvation and/or lactation, it is our conclusion that the condition may be aggravated by COVID-19 infection. Emergency services should consider the risk of lactation ketoacidosis exacerbated by COVID- 19 in postpartum women.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".