Telomere length measurement in the pre lung transplant evaluation of patients with interstitial lung disease
Bibliographic record
Abstract
Introduction: Individuals with short telomeres have an increased risk of interstitial lung disease (ILD) and tend to exhibit a more rapid deterioration. Post-lung transplant survival and time to onset of chronic allograft dysfunction are reduced in patients with telomeropathy. Methods: This prospective study aimed to identify the prevalence of telomere abnormalities in ILD patients at our lung transplant clinic, the frequency of subclinical extra-pulmonary organ damage, and outcomes after transplant. We established a protocol to routinely measure telomere length in all patients with ILD being considered for lung transplant. Patients with significant telomere shortening (< 10th percentile) were referred for hepatology evaluation (liver fibroscan and subsequent liver biopsy in case of abnormal findings). Patients also underwent a bone marrow biopsy. After the evaluation, all patients were reviewed in our multidisciplinary meeting for the final listing decision. Results: Telomere length was measured in 46 patients. Telomeropathy were identified in 16 patients (35%). Two patients were shown to have concomitant liver cirrhosis based on the biopsy. All bone marrow biopsies performed were normal except for one that showed dysplasia in the myeloid lineage. All patients with short telomeres were eventually listed for lung transplant. Conclusion: In conclusion, telomeropathy is frequent in patients with ILD being considered for lung transplant. Our comprehensive clinical evaluation uncovered liver abnormalities, and rare abnormalities were noted on bone marrow biopsies. Further studies are needed to evaluate the impact on these findings and guide post operative management.
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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 | 0.002 |
| 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".