Increased Osteoprotegerin Predicts Poor Virological Outcome During Anticytomegalovirus Therapy in Solid Organ Transplant Recipients
Bibliographic record
Abstract
In Brief Background Cytomegalovirus (CMV) infection involves interaction between endothelial cells and leukocyte subsets that may promote vascular inflammation and lead to treatment failure in infected individuals. Osteoprotegerin is a marker of vascular and systemic inflammation but has not been investigated in relation to treatment outcome during CMV infection. Methods We investigated whether circulating levels of osteoprotegerin are related to features of CMV disease and treatment outcomes during CMV infection in 291 solid organ transplant recipients receiving valganciclovir or ganciclovir in an international multicenter trial of CMV disease treatment (the VICTOR study). Results Elevated plasma osteoprotegerin was associated with (i) certain disease characteristics including presence of tissue invasive disease (P<0.05) and increased viral load at baseline (P<0.05), (ii) poor virological outcome at day 49 after anti-CMV therapy, (iii) increased plasma levels of markers of inflammation (pentraxin 3 and C-reactive protein) and endothelial cell activation (von Willebrand factor) both at baseline and during follow-up. Conclusion Our finding indicates that elevated osteoprotegerin levels in solid organ transplant recipients with CMV infection may reflect vascular inflammation and is associated with late virological outcome in these patients. Investigators of an international multicenter study of 291 organ transplant recipients receiving cytomegalovirus treatment report that osteoprotegerin is a marker of vascular inflammation associated with viral disease persistence and other inflammatory markers, as well as a poor virological outcome.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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) | 0.000 | 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".