Severe anemia and neutrophilic leukocytosis resembling Sweet’s syndrome in a dog
Bibliographic record
Abstract
Sweet’s syndrome is a rare inflammatory condition characterized by the presence of neutrophilic infiltrate of the skin. We describe a case of severe anemia and neutrophilia with post-mortem findings resembling Sweet’s syndrome in a five-years-old female Labrador Retriever with bilateral epistaxis, hematemesis, hyporexia, pale oral mucosa, and fever. Laboratory analysis evidenced severe unresponsive anemia, thrombocytopenia, and leukocytosis. Biochemistry showed hypoalbuminemia and increased ALT and SAP activities. The patient was transfused and received doxycycline and prednisone for one week without improvement. Two further blood transfusions were administered. Bone marrow analysis showed a mild erythroid hypoplasia, granulocytic hyperplasia, myeloid to erythroid ratio of 6.01:1 (reference: 0.9:1 – 1.76:1) without dysplasia, mild megakaryocytic hyperplasia, and increased iron stores. Macrophages were slightly increased in number with erythrophagocytosis, and immune-mediated anemia was considered. Immunosuppressive treatment was prescribed to reduce red blood cell destruction, but no improvement after one week was observed, and euthanasia was performed. Necroscopic findings resembled those described for the systemic form of Sweet’s Syndrome. Bone marrow histopathology showed remarkably increased granulopoiesis and destruction of platelets and erythrocytes. Sweet’s syndrome is frequently associated with hematologic malignancy or drug exposure. Leukemia was excluded after bone marrow analysis because no increase in blast population was seen as well as no signs of dysplasia. Previous treatment could be related to the development of Sweet’s syndrome, which might be the primary event. Although rare, this syndrome should be considered in the differential diagnosis of dermatosis and leukocytosis when infectious agents are not identified.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".