Treatment of Cytomegalovirus Disease in Solid Organ Transplant Recipients
Bibliographic record
Abstract
BACKGROUND: Treatment failure or relapse is common in solid organ transplant recipients treated for cytomegalovirus (CMV) disease. Because CMV infections induce a vigorous inflammatory response, we investigated whether pretreatment levels of inflammatory markers were associated with virologic and clinical outcomes. METHODS: Solid organ transplant recipients enrolled in an international multicenter trial of CMV disease treatment (the VICTOR study) were studied (n=248). Plasma levels of markers of inflammation and endothelial cell activation were assessed at baseline and during follow-up by enzyme immunoassays. RESULTS: Baseline values for the chemokine CXCL16 was an independent predictor of clinical outcome (P=0.003) and was a weak independent predictor of suppression of viral load below level of detection (LOD) (P=0.013) at day 21 after initiation of treatment. Baseline levels of the long pentraxin 3 (PTX3) was an independent predictor of suppression of viral load below LOD at day 21 (P=0.002), whereas baseline levels of von Willebrand factor (vWF) was an independent predictor of clinical outcome at day 21 (P=0.008), and vWF levels at day 21 was a weak independent inflammatory predictor of viral recurrence (P=0.018). CONCLUSIONS: The present study shows that the plasma levels of CXCL16, PTX3 and vWF at the start of treatment are independently associated with virologic and clinical treatment failure during anti-CMV therapy in solid organ transplant recipients. These findings suggest a link between CMV infection and inflammation that also may influence the outcome of anti-CMV therapy.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".