Relationship between certain HLA alleles and the risk of cytomegalovirus reactivation following allogeneic hematopoietic stem cell transplantation
Bibliographic record
Abstract
INTRODUCTION: Evidence is emerging to support an association between certain human leukocyte antigen (HLA) alleles and the risk of cytomegalovirus (CMV) reactivation following allogeneic hematopoietic stem cell transplant (allo-HSCT). The primary aim of this study was to identify HLA alleles associated with resistance or susceptibility to CMV reactivation. METHODS: We studied 586 adults who underwent allo-HSCT for high-risk hematological malignancies. High-resolution HLA typing data were available for recipients and donors. HLA class I and II alleles observed at a frequency of >5% in our population were included in the analysis. A CMV viremia level of more than 200 IU/ml on weekly monitoring was considered to be indicative of CMV reactivation. RESULTS: The median follow-up time in surviving patients was 21 months (range 4-74 months). The cumulative incidence of CMV reactivation at 6 months in the entire cohort was 55% (95% confidence interval [CI] 50.8%-59.2%). Mismatched donors, increasing recipient age, occurrence of acute graft versus host disease and recipient CMV seropositivity were associated with an increased risk of CMV reactivation. HLA B*07:02 (hazard ratio 0.59, 95% CI 0.40-0.83) was associated with a decreased risk of CMV reactivation. Patients who developed CMV reactivation had a lower incidence of relapse, higher transplant-related mortality (TRM) and lower overall survival (OS) than those without CMV reactivation. There was an adverse correlation of OS and TRM with increasing numbers of CMV reactivations. CONCLUSION: We observed that HLA B*07:02 was associated with a decreased risk of CMV reactivation. CMV reactivation was associated with lower relapse post-transplant, but this did not translate into a survival benefit due to higher TRM.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".