<p>Identification and Treatment of Tuberculosis in Pediatric Recipients of Allogeneic Hematopoietic Stem Cell Transplantation: Case Series and Review of the Literature</p>
Bibliographic record
Abstract
BACKGROUND: Tuberculosis is a rare but life-threatening complication in patients who received hematopoietic stem cell transplantation. Early identification and intervention are essential to prevent severe complications. CASE PRESENTATION: We report two pediatric patients who developed tuberculosis after receiving hematopoietic stem cell transplantation for thalassemia major among 330 recipients between January 2012 and August 2019. Patient A presented with pulmonary tuberculosis and patient B presented with lymph node tuberculosis mimicking post-transplantation lymphoproliferative disorder associated with Epstein-Barr virus reactivation. Patient B's condition was deteriorated, and shortly after the initiation of anti-tuberculosis therapy, the patient was found to have disseminated pulmonary tuberculosis. Patient B was also found to have tuberculous granulomas, an uncommon manifestation of tuberculosis causing severe airway obstruction. Both patients developed critical respiratory failure and required mechanical ventilation; however, they recovered with almost full resolution of pulmonary lesions after multiple treatment adjustments. CONCLUSION: Tuberculosis must be carefully evaluated in all pediatric patients that receive hematopoietic stem cell transplantation, regardless of the identification of other pathogens. Prophylactic tuberculosis therapy should be considered for high-risk pediatric hematopoietic stem cell transplantation recipients from tuberculosis-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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".