Clinical Utility of Cytomegalovirus Cell-Mediated Immunity in Transplant Recipients With Cytomegalovirus Viremia
Bibliographic record
Abstract
BACKGROUND: A CD8+ T-cell response to cytomegalovirus (CMV) has been associated with control of viral replication. Assessment shortly after the onset of asymptomatic viremia could help significantly refine preemptive strategies. METHODS: We conducted a prospective study of organ transplant recipients who developed asymptomatic low-level viremia not initially requiring antiviral therapy. Cell-mediated immunity (CMI) was measured shortly after viremia onset and longitudinally using the Quantiferon-CMV assay. The primary outcome was the ability to predict spontaneous clearance versus virologic and/or clinical progression. RESULTS: We enrolled 42 transplant patients, of which 37 were evaluable. Viral load at onset was 1140 copies/mL (interquartile range 655-1542). Spontaneous viral clearance occurred in 29 of 37 (78.4%) patients and 8 of 37(21.6%) had clinical and/or virologic progression requiring antivirals. At baseline, a positive CMI test (interferon-γ≥0.2 IU/mL) was present in 26 of 37(70.3%) patients. In patients with a positive CMI, the incidence of subsequent spontaneous viral clearance was 24 of 26 (92.3%) compared with 5 of 11 (45.5%) in patients with a negative CMI at onset (P=0.004). The absolute interferon-γ production was higher in patients with spontaneous clearance versus progression at all time points tested. Analysis of different cutoffs for defining a positive test suggested that the best threshold was 0.1 or 0.2 IU/mL of interferon-γ. CONCLUSIONS: CMI assessment shortly after the onset of CMV viremia may be useful to predict progression versus spontaneous viral clearance, thereby helping guide the need for antiviral therapy and refining current preemptive strategies.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".