Giant Cell Myocarditis in a Patient With Crohn's Disease, Treated with Etanercept – A Tumour Necrosis Factor-Alpha Antagonist
Bibliographic record
Abstract
Cardiac disease in association with inflammatory bowel disease (IBD) is uncommon. Reports include pericarditis, pericardial effusion, myocarditis, myocardial infarction, endocarditis and arrythmias. Myocardial inflammation related to IBD may be due to a drug hypersensitivity reaction or micronutrient deficiency, or may be secondary to the underlying IBD as an extraintestinal manifestation. In this setting, myocarditis usually presents as congestive heart failure and/or refractory arrhythmia. Prognosis varies among reported cases, including complete recovery, remission with recurrence and fatal disease. Treatment of myocarditis has included aminosalicylates and immunosuppressive medications. Recently, newer therapies for IBD have been developed, such as tumour necrosis factor-alpha (TNF-a) antagonists. The present report describes a case of a 46-year-old man with clinical and endoscopic evidence of moderately active colonic Crohn's disease who developed congestive heart failure due to giant cell myocarditis. Little clinical improvement occurred with immunosuppressive therapy. Only after the addition of etanercept, a TNF-a p75 receptor antagonist, did complete clinical resolution occur. These authors conclude that the use of TNF-a antagonists may be considered in the treatment of life-threatening extraintestinal manifestations of inflammatory bowel disease.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".