Anti-melanoma-differentiation gene 5 dermatomyositis with rapidly progressive interstitial lung disease: Management considerations outside of lung transplantation centers
Bibliographic record
Abstract
Timely recognition and prompt management of anti-melanoma differentiation-associated gene 5 (anti-MDA5) dermatomyositis with rapidly progressive interstitial lung disease (RP-ILD) is imperative given the high mortality rate and rapid disease course. Management challenges include the rarity of the disease, heterogeneous clinical presentation, varying response to immunosuppression and lack of consensus in management, which can lead to delays in diagnosis and treatment. This makes early consideration of all management options crucial, including extracorporeal membrane oxygenation (ECMO) as a bridge to immunosuppressive therapy response or lung transplantation. We present a case of a 52-year-old male with anti-MDA5 amyopathic dermatomyositis with RP-ILD admitted to a community hospital. His course was complicated by respiratory failure requiring mechanical ventilation despite aggressive immunosuppression. Our case highlights the challenges associated with the management of refractory disease and the importance of early involvement of a tertiary care center with physicians who have disease expertise and can facilitate timely ECMO and lung transplantation assessments.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".