Cutaneous Dalteparin Reactions Associated with Antibodies of Heparin-Induced Thrombocytopenia
Bibliographic record
Abstract
OBJECTIVE: To report widespread cutaneous lesions due to low-molecular-weight heparin therapy associated with heparin-induced thrombocytopenia (HIT), but without evidence of thrombocytopenia, and to review previously reported cases of skin reactions related to heparin therapy. CASE SUMMARY: A 59-year-old white man with a subtotally resected glioblastoma developed febrile neutropenia and pneumonia secondary to chemotherapy. The development of an upper extremity thrombosis, following insertion of a peripherally inserted central venous catheter, was treated with subcutaneous dalteparin. Cutaneous lesions developed distant from the site of injection. The diagnosis of HIT was confirmed despite stable platelet counts. Dalteparin therapy was discontinued immediately, and anticoagulation was maintained with warfarin. The skin lesions resolved without further complications. DISCUSSION: Numerous cases of heparin-induced cutaneous reactions have been reported. The majority of these describe a local reaction at the heparin injection site with or without associated thrombocytopenia. The case presented here is unique in that the observed skin reaction was distant to the injection site and occurred without thrombocytopenia, but with detectable heparin-dependent antibodies. CONCLUSIONS: Although a skin reaction is a rare complication of heparin therapy, it can be a clinical indicator of HIT despite normal platelet counts. Patients who develop skin lesions should have their heparin therapy discontinued and a diagnosis of HIT investigated.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".