Treatment of Late-onset Acute Graft-versus-host Disease Following Double Lung Transplantation Using a JAK2 Inhibitor
Bibliographic record
Abstract
Acute graft-versus-host disease (aGVHD) is a rare but potentially life-threatening complication that can occur after solid organ transplantation, particularly in organs with abundant lymphoid tissue like the liver and intestines. While less common in lung transplants, the rising numbers of these procedures have brought more attention to aGVHD, usually appearing within the first 3-mo posttransplant. Given its relative rarity, a clear understanding of the pathophysiology, risk factors, diagnostic, and management strategies remain elusive. These knowledge gaps can lead to delays in diagnosis and the initiation of appropriate treatment leading to predictably inferior outcomes. Managing aGVHD following solid organ transplantation is challenging, and there is no standard approach. Current management involves high-dose steroids and other immunosuppressive drugs. However, these interventions are associated with serious complications, including potentially fatal infections, underscoring the urgent need for more research to refine both diagnostic methods and treatment approaches and ultimately improving patient outcomes. In this report, we aim to deepen our understanding of aGVHD following lung transplants and share our experience with a unique case of aGVHD occurring almost a year after lung transplantation that was successfully managed using ruxolitinib, describing a potential treatment approach modeled on the contemporary management of stem cell transplant associated aGVHD.
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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 | 0.000 | 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 | 0.001 |
| 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".