Clinical predictors of progression and clearance of low‐level CMV DNAemia in solid organ transplant recipients
Bibliographic record
Abstract
BACKGROUND: Low-level CMV DNAemia is common and in the absence of treatment may either progress to higher viral loads that require therapy, or may spontaneously resolve. The clinical predictors of progression and spontaneous viral clearance are not well defined. METHODS: We performed a retrospective cohort study of organ transplant recipients who had untreated low-level CMV DNAemia (<1000 IU/mL). Outcomes were evaluated for 8 weeks after initial viral detection, and progression to CMV high viral load was defined as CMV viral load ≥1000 IU/mL. CMV DNAemia doubling time was calculated for a subset of patients with sufficient viral load timepoints. RESULTS: Of the 297 patients analyzed, 118/297 (39.7%) patients progressed to a high viral load and the remaining cleared DNAemia spontaneously (46.8%) or remained at low level (13.4%). In multivariate analysis, progression was significantly more likely in lung transplant recipients (odds ratio 3.09) and less likely in those with an episode of previously treated CMV infection (odds ratio 0.081). In a subset of 27 patients with progression, the doubling time for CMV DNAemia was a median of 6.1 days (range 2.4-21.8). CONCLUSION: We found that previous CMV infection significantly decreased the likelihood of low-level DNAemia progression suggesting that CMV immunity plays a role in progression vs spontaneous clearance.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".