Continuous infusion of thymoglobulin for induction therapy in pediatric heart transplant recipients; experience and outcomes with a novel strategy for administration
Bibliographic record
Abstract
Minimal data exist on the perioperative use of TG for induction in pediatric HTx recipients. We report our experience using continuous infusion of TG on (i) perioperative adverse events, (ii) rejection, (iii) CAV, and (iv) PTLD. TG was infused via peripheral intravenous intra- and perioperatively as a continuous infusion (24 h/day). Starting dose was 1.5 mg/kg/day titrated to achieve target lymphocyte count of 0.1-0.3 x 10(9)/L. Fifty-five patients received TG; mean age at HTx was 4.4 yr (1 day-17.8 yr). The mean duration of TG was three and a half days (2-7 days). Median platelet count during TG infusion was 95 x 10(9)/L (28-228). Five patients had TG stopped for low platelets (at 4-6 days post-HTx) - all started maintenance immunosuppression. There was no perioperative mortality due to infection. Mean follow-up of 46 survivors was 2.3 yr (0.6-5.8 yr). Fifty-one percent had > or = ISHLT 2R rejection at a median time of 33 days post-HTx (7 days-2 yr). One patient developed PTLD 1.4 yr post-HTx; three patients developed mild-moderate CAV. TG as a continuous infusion appears to have a good safety profile. Though mild thrombocytopenia was prevalent, there was no bleeding attributable solely to TG. Whether early depletion of T-cell function will translate into long-term benefits remains to be determined.
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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 | 0.002 |
| 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) | 0.000 | 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".