Prevention of CMV disease in pediatric kidney transplant recipients: Evaluation of pp67 NASBA‐based pre‐emptive ganciclovir therapy combined with CMV hyperimmune globulin prophylaxis in high‐risk patients
Bibliographic record
Abstract
A new prevention strategy for CMV infection was evaluated in our pediatric kidney transplant unit. This approach comprises a pre-emptive therapy, based upon the monitoring of CMV pp67 mRNA in whole blood by the qualitative NASBA, combined with prophylactic CMV-IG in high risk (R-/D+) children. Thirty-one kidney transplant children were followed for six months with serial measurements of CMV pp67 mRNA in the blood. The R-/D+ patients were given prophylactic CMV-IG for the first 16 wk after transplantation. I.v. ganciclovir was administered upon CMV detection by NASBA and was discontinued after two consecutive negative results. CMV infection, detected by NASBA, developed in 11 (35%) recipients: one (33%) of the R+/D- patients and 10 (72%) of the R-/D+ patients. CMV disease developed in 9.6% of the patients (3/31), exclusively in the R-/D+ group. These three patients presented concurrently with CMV viremia and disease. It is noteworthy that two of the three patients could not receive a complete course of CMV-IG, and one of the latter two subjects had been treated for acute rejection 15 days before CMV infection. Ganciclovir was given for the 11 cases of primary infection, and for three cases of relapsed CMV infection. pp67 NASBA-based pre-emptive ganciclovir therapy, combined with prophylactic CMV-IG in high-risk patients leads to a lower rate of CMV disease, as long as a complete course of CMV-IG has been administered and ganciclovir is given during the period of treatment for acute rejection in high-risk populations.
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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) | 0.001 | 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 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".