Outcomes of <i>Pneumocystis jiroveci</i> pneumonia infections in pediatric heart transplant recipients
Bibliographic record
Abstract
Ng B, Dipchand A, Naftel D, Rusconi P, Boyle G, Zaoutis T, Erik Edens R. Outcomes of Pneumocystis jiroveci pneumonia infections in pediatric heart transplant recipients. Pediatr Transplantation 2011: 15: 844–848. © 2011 John Wiley & Sons A/S. Abstract: PJP is known to cause significant morbidity and rarely death in immunosuppressed patients. The prevalence and outcomes of PJP in pediatric solid‐organ transplant patients are not well established. This study utilizes data from the PHTS to establish the prevalence and outcome of PJP in pediatric heart transplant recipients. We conducted a retrospective cohort study using data from the PHTS, including data from 24 institutions between January 1, 1993, and December 31, 2004. Infections that occur in PHTS subjects are recorded in a standardized data collection form. The prevalence and outcomes of PJP in pediatric heart transplant recipients were determined. There were a total of 18 patients (1%) with PJP out of the 1854 pediatric heart transplant recipients in the PHTS database. A majority of PJP occurred two months to two yr post‐transplant, and patients with PJP had a significantly decreased mortality compared with other fungal infections. PJP is an infrequent complication experienced by pediatric heart transplant recipients. Patients that have experienced PJP have an increased survival compared to patients with other fungal infections, and most PJP occurred within two yr of transplant.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".