Ciprofloxacin-Associated Hemolytic-Uremic Syndrome
Bibliographic record
Abstract
OBJECTIVE: To report the first case of ciprofloxacin-associated hemolytic-uremic syndrome (HUS). CASE SUMMARY: A 53-year-old white man was treated with chemotherapy for acute lymphoblastic leukemia. Four weeks after initiation of treatment, he recovered his blood cell counts, but developed fever and was prescribed oral ciprofloxacin 500 mg twice daily. After 4 doses, he developed the typical features of HUS manifested by microangiopathic hemolytic anemia, oliguric renal failure, and thrombocytopenia. The medication was withdrawn, and he received 5 sessions of plasma exchange. He recovered completely and has normal renal function. DISCUSSION: Secondary HUS or its related syndrome, thrombotic thrombocytopenic purpura (TTP), is uncommon, but has been reported in association with cancer, chemotherapy, and a variety of medications. Our case represents a possible adverse drug reaction to ciprofloxacin according to the Naranjo probability scale. It is the first reported case of HUS associated with ciprofloxacin. CONCLUSIONS: Ciprofloxacin use was followed by HUS in our patient and was possibly causally related. Early detection, discontinuation of the offending medication, and treatment of HUS/TTP is critical.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".