Precisione Treatment for Parvovirus B19 Infection After Hematopoietic Stem Cell Transplantation: a Case Report and Review of the Literature
Bibliographic record
Abstract
Abstract Background: Cytopenia due to parvovirus B19 (PVB19) infection has rarely been reported in recipients of thalassemia major after hematopoietic stem cell transplantation (HSCT). Most of the reported cases were patients undergone solid organ transplantation, especially renal transplant. However, cases of pediatric patients in thalassemia major have rarely been reported. Case presentation: Here we report a girl that had PVB19-induced anemia while undergoing immunosuppressive therapy after transplant. The patient presented with progressive anemia and had a lowest hemoglobin level of 58 g/L. Bone marrow biopsy showed suppress inhibited erythropoiesis with giant pronormoblasts. Next-generation sequencing of peripheral blood suggested the infection of PVB19.The detection of serum PVB19-DNA using quantitative polymerase chain reaction revealed a viral load of over 1×108 copies/ml. The hemoglobin level increased to 113 g/L after six courses of intravenous immunoglobulin (IVIG) therapy. Monitoring of viral load showed PVB19-DNA level remained at a low level for six months before clearance. Pure red cell aplasia was not observed during the treatment period. Conclusions: Our case suggests that timely and adequately diagnosis and treatment against PVB19 with IVIG is effective and may prevent sequential complications in pediatric HSCT recipients.
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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 | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".