Hematologic Manifestations of Brucellosis in Children: 5 Years Experience of an Anatolian Center
Bibliographic record
Abstract
BACKGROUND: Brucellosis continues to be an important cause of fever in underdeveloped countries and in the rural areas of developed world. It is a multisystemic disease, associated with a wide variety of symptoms. A wide variety of symptoms, including hematologic abnormalities, such as anemia, thrombocytopenia, pancytopenia, dissemine intravascular coagulation, and leucopenia could be seen. The aim of the study is to review the hematologic findings of brucellosis in childhood. PROCEDURE: In this short study, the records of 146 children with brucellosis were evaluated for hematologic manifestation retrospectively. Among them, 9 patients had pancytopenia and 5 had brucella-induced immune thrombocytopenia and were identified in a 5-year period between June 2004 and July 2009. RESULTS: Eight of the 9 patients with pancytopenia had Brucella melitensis isolated from blood cultures and/or bone marrow cultures, and all 9 patients had Brucella agglutination titers of at least 1:320. All patients with immune thrombocytopenia blood cultures were positive for Brucella. Except 1 patient the pancytopenia in these patients regressed completely and their peripheral blood counts returned to normal after treatment of Brucella infection. One patient was not responding to the brucella treatment and underwent allogeneic hematopoietic stem cell transplantation. All patients with brucella-induced immune thrombocytic purpura were symptomatic and had severe thrombocytopenia, they were placed on intravenous gamma globulin for 2 days. Between day 3 and day 5 platelet counts increased in these patients. CONCLUSION: Brucellosis should be considered as a possible diagnosis among patients with pancytopenia and immune thrombocytopenic purpura in endemic regions.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".