Prevalence of Viral Infections and Serious Complications in Pediatric Hematopoietic Stem Cell Transplant Patients: A Ten-Year Single-Institution Retrospective Study
Bibliographic record
Abstract
Background: Pediatric hematopoietic stem cell transplant (pHSCT) patients are at risk for many life-threatening post-transplant complications, notably relapse, graft-versus-host disease (GvHD), and infection. Methods: This retrospective study reviewed 10 years of pHSCT at a single institution, assessing for risk factors for post-transplantation viral infections (herpes simplex virus (HSV), varicella-zoster virus (VZV), Epstein-Barr virus (EBV), cytomegalovirus (CMV), human herpes virus 6 (HHV6), adenovirus (ADNV), and human polyoma virus 1 (BK virus)), and characterizing adverse infectious outcomes. Results: Overall, 139 patients received 151 transplants. With respect to graft source: 73 (48.3%) were bone marrow, 67 (44.4%) umbilical cord blood (UCB), and 11 (7.2%) peripheral blood stem cells (PBSCs). Forty-one deaths occurred, for an overall mortality rate of 29.5%. The overall incidence of post-transplant viral infections was 47.7% (n = 72). Incidence of post-transplant infection varied by virus type: 3.97% HSV, 0.67% VZV, 3.97% EBV, 24.5% CMV, 14.5% HHV6, 12.6% ADNV, and 12.6% BK virus. Viral encephalitis, though relatively uncommon, was primarily caused by HHV6 and more common in UCB transplants. Overall, cell source and donor source were identified with statistically significant correlation to both risk of infection and mortality. Conclusions: Post-transplant viral infection remains as a serious adverse event in pediatric patients, and thus prospective studies should be performed to implement early intervention and more aggressive treatment in select high-risk patients. More studies specifically addressing infection risks in cord blood transplants and risk factors for post-transplant viral encephalitis are warranted.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".