A Case of Severe Copper Sulphate Poisoning
Bibliographic record
Abstract
Copper sulphate poisoning is a serious medical concern, particularly in regions where its use is prevalent in various industries and where accidental or intentional ingestion poses risks, such as in Sri Lanka. We present the case of an 18-year-old female who ingested a substantial amount of copper sulphate, leading to severe toxicity and multiple complications. Despite initial management with gastric lavage and activated charcoal, the patient developed intravascular hemolysis, methemoglobinemia, rhabdomyolysis, acute liver injury, and aspiration pneumonia. Treatment involved supportive measures, including fluid resuscitation, blood transfusions, and antibiotics, along with chelation therapy using penicillamine. Notably, our patient exhibited favorable clinical progress and recovery within a week of admission. This case underscores the importance of prompt recognition and management of copper sulphate poisoning, emphasizing the potential for severe complications and the need for further research to establish standardized treatment protocols. Restricting access to copper sulfate in its powdered form may serve as a preventive measure against intentional ingestion, thereby reducing the incidence of poisoning cases.
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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) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.008 | 0.005 |
| 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".