Adenoviral Infections in Pediatric Transplant Recipients
Bibliographic record
Abstract
OBJECTIVE: To assess the disease burden and outcomes resulting from adenoviral infections among pediatric transplant recipients. METHODS: This was a retrospective study of adenoviral infections among pediatric transplant recipients who were hospitalized at our center between 1993 and 2003. Patients were defined as having adenoviral infection if the virus was demonstrated in stool, urine, respiratory, blood, or biopsy tissue samples in the presence of attributable clinical findings. Data were obtained from the hospital's medical records and laboratory databases. RESULTS: There were 55 patients with single episodes of adenovirus infection: 28 (50.9%) solid organ transplant (SOT) and 27 (49.1%) hematopoietic stem cell transplant (HSCT) recipients. The prevalence rates among SOT and HSCT recipients were 1 per 16 and 1 per 24 transplants performed, respectively. The median age of patients with adenovirus infections was 3.66 years (range, 0.25-17.25). Infection occurred at a median of 1.6 months posttransplantation (range, 0.03-153.). Adenovirus was most frequently demonstrated from the gastrointestinal tract (78%). Other sites infected included the respiratory tract, liver, blood and urinary tract. Overall mortality was 14.6%. All deaths occurred among HSCT recipients (mortality, 29.6%). Deaths were more likely among patients with adenovirus identified at >or=2 sites than in those having localized disease (P < 0.01). CONCLUSION: Mortality from adenoviral infection was a greater risk for HSCT than SOT recipients. Early onset of infection after transplantation suggests the possibility of reactivation of adenovirus rather than new acquisition in at least of proportion of cases. This is important for surveillance of this infection in transplant recipients.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".