Hypoalbuminemia and poor growth predict worse outcomes in pediatric heart transplant recipients
Bibliographic record
Abstract
Children with end-stage cardiac failure are at risk of HA and PG. The effects of these factors on post-transplant outcome are not well defined. Using the PHTS database, albumin and growth data from pediatric heart transplant patients from 12/1999 to 12/2009 were analyzed for effect on mortality. Covariables were examined to determine whether HA and PG were risk factors for mortality at listing and transplant. HA patients had higher waitlist mortality (15.81% vs. 10.59%, p = 0.015) with an OR of 1.59 (95% CI 1.09-2.30). Survival was worse for patients with HA at listing and transplant (p ≤ 0.01 and p = 0.026). Infants and patients with congenital heart disease did worse if they were HA at time of transplant (p = 0.020 and p = 0.028). Growth was poor while waiting with PG as risk factor for mortality in multivariate analysis (p = 0.008). HA and PG are risk factors for mortality. Survival was worse in infants and patients with congenital heart disease. PG was a risk factor for mortality in multivariate analysis. These results suggest that an opportunity may exist to improve outcomes for these patients by employing strategies to mitigate these risk factors.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".