Pretransplant Aspergillus Colonization of Cystic Fibrosis Patients and the Incidence of Post–Lung Transplant Invasive Aspergillosis
Bibliographic record
Abstract
BACKGROUND: Invasive aspergillosis (IA) is an important cause of morbidity and mortality among patients undergoing lung transplant. Cystic fibrosis-lung transplant recipients (CF-LTRs) may be at greater risk of IA following lung transplantation because of the presence of Aspergillus in their airways before transplantation. This study evaluated the impact of pretransplant Aspergillus colonization on the risk for IA among CF-LTRs. METHODS: A single-center retrospective cohort study of CF-LTRs was conducted between 2006 and 2010. Respiratory tract cultures before transplantation were reviewed to identify patients with pretransplant Aspergillus colonization. Patients with positive Aspergillus sputum culture or positive bronchoalvelolar lavage (BAL) galactomannan after transplantation were classified as having colonization or disease according to the International Society of Heart and Lung Transplantation criteria. RESULTS: A total of 93 CF patients underwent lung transplantation. Seventy percent (65/93) of CF-LTRs had pretransplant Aspergillus colonization. Thirty-six patients had positive intraoperative Aspergillus culture from the native lung BAL. Overall, 22.5% (20/93) of CF-LTRs developed IA. Median time to IA was 42 days following transplantation. Positive intraoperative Aspergillus culture (OR 4.36, 95% CI 1.35-14.05, P=0.01) and treatment for acute cellular rejection within 90 days after transplantation (OR 3.53, 95% CI 1.03-12.15, P=0.05) were independent risk factors for IA. Antifungal prophylaxis was administered to 61% (57/93) of CF-LTRs. One-year mortality rate was 16% (15/93). IA was not associated with increased risk of death (OR 2.10, 95% CI 0.62-7.06, P=0.23). CONCLUSION: Pretransplant Aspergillus colonization is frequent among CF-LTRs and a positive intraoperative Aspergillus culture produced a fourfold higher risk of developing IA.
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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 | 0.003 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".