Increased Serum Vitamin A and E Levels After Lung Transplantation
Bibliographic record
Abstract
BACKGROUND: Adult cystic fibrosis (CF) patients experience significant increases in serum vitamin A and E levels after lung transplantation. It is unclear whether this finding is specific to the CF population or inherent to the lung transplantation process. METHODS: The objectives of this study were to assess pre- and postlung transplantation serum vitamin A and E levels in subjects with end-stage lung disease secondary to all causes. The study population consisted of adults who received a lung transplant at the Toronto Lung Transplant Program between 2004 and 2009. The mean change in serum vitamin A and E levels pre- and postlung transplant was evaluated using a paired t test, while differences in vitamin A and E levels between CF and non-CF subjects were determined using a Student's t test. RESULTS: Thirty-two CF and 21 non-CF subjects who underwent lung transplantation were included in the study. Mean serum vitamin A and vitamin E levels increased significantly after transplant, from 1.2 to 3.5 μmol/L (P<0.0001) and from 21.9 to 33.2 μmol/L (P<0.0001), respectively. The proportion of individuals with serum levels above the upper limit of normal increased from 7.6% to 88.7% (P<0.0001) and from 11.3% to 24.5% (P=0.02) for vitamin A and vitamin E, respectively. The dosage of vitamin supplementation did not increase after transplant. CONCLUSIONS: Significant increases in serum vitamin A and E levels were seen in both CF and non-CF subjects after lung transplantation. Further research is needed to understand the cause and clinical implications of these findings.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".