Levofloxacin-Induced Acute Immune-Mediated Thrombocytopenia of Rapid-Onset
Bibliographic record
Abstract
Drug-induced immune thrombocytopenia (D-ITP) typically occurs after the patient has been receiving the implicated drug for at least 1 week, due to newly forming drug-dependent antibodies (“typical-onset” D-ITP). A “rapid-onset” form of D-ITP can occur when previous sensitization has occurred, where antibodies have thus already been formed, and a precipitous platelet count fall occurs upon reexposure. Typical-onset D-ITP has been reported after levofloxacin, but the rapid-onset form with a well-documented previous exposure has not been described. We report a 76-year-old male treated with levofloxacin for acute exacerbation of chronic obstructive pulmonary disease. After a single 750 mg oral dose of levofloxacin, his platelet count fell from 187 to 5 × 10 9 /L (nadir) over 4 days. Other causes of thrombocytopenia were ruled out. He had received a previous course of levofloxacin 6 months earlier. Discontinuation of levofloxacin and treatment with intravenous immunoglobulin and dexamethasone resulted in platelet count recovery. Levofloxacin-dependent antibodies were not detectable, consistent with the known low sensitivity of laboratory tests for drug-dependent antibodies, presumably indicating antibodies against levofloxacin metabolites, as is indirectly supported by the abrupt but relatively slow platelet count decline observed. This case illustrates a rapid-onset presentation of levofloxacin-induced D-ITP in the setting of previous drug exposure.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".