Myocarditis in Patients With Idiopathic Inflammatory Myopathies: Clinical Presentation and Outcomes
Bibliographic record
Abstract
OBJECTIVE: To determine the clinical phenotype and outcomes of patients with idiopathic inflammatory myopathies (IIMs) and myocarditis. METHODS: Using the Johns Hopkins Myositis Center Research Registry, we identified 31 adult patients with IIM-out of a total of 3082 with confirmed or suspected muscle disease-with an encounter code of myocarditis from 2004 to 2021. Of these, 14 adult patients with IIM were adjudicated to have clinical myocarditis. Information about demographics, autoantibodies, and clinical outcomes was retrospectively collected and analyzed. RESULTS: Of 14 patients with IIM with clinical myocarditis, the median age at IIM diagnosis was 49 (IQR 35-56) years, and the median age at myocarditis diagnosis was 54 (IQR 36-61) years. The median duration between IIM diagnosis and myocarditis was 3 (IQR 2-9) years. The majority of patients were female (8/14, 57%) and Black (10/14, 71%). Antisynthetase syndrome was the most common IIM subtype (9/14, 64%). Anti-Jo1 (n = 4) and anti-PL12 (n = 3) were the most frequent autoantibodies. At myocarditis diagnosis, most patients (11/14, 79%) had active myositis, defined as elevated creatine kinase and/or muscle weakness; required hospitalization (13/14, 93%); and had reduced left ventricular ejection fraction (LVEF < 50%; 10/14, 71%). Despite intensification of immunosuppression, the 5-year overall survival rate from IIM diagnosis was 84%, and the 5-year overall survival rate from myocarditis diagnosis was 53%. Systolic dysfunction (LVEF < 40%) at final evaluation was observed in all expired patients (n = 6). CONCLUSION: Clinical presentations of myocarditis in this select cohort of patients with IIM were severe and heterogeneous with poor outcomes despite intensification of immunosuppression, potentially reflecting late detection of myocarditis.
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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) | 0.000 | 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 | 0.001 |
| 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".