Abstract 3002: Left Ventricular Diameter Predicts Recovery in Acute Cardiomyopathy: Results of the IMAC 2 Trial
Bibliographic record
Abstract
Introduction : The incidence of spontaneous clinical improvement in acute cardiomyopathy (ACM) patients treated with evidence based medical therapy is unknown. We hypothesized that pts without LV dilatation at presentation would have the greatest potential for recovery of ejection fraction (EF). Methods: A multi-center NHLBI sponsored trial, Intervention in Myocarditis and Acute Cardiomyopathy II (IMAC 2) was designed to study the clinical course of ACM and the mechanisms associated with outcomes. A clinical, echocardiography, and genetics core lab are established. Results: 15 centers have enrolled 215 pts, mean age 45 ± 14 yrs, 34% female, NYHA class I–IV% 18/54/21/7, baseline EF 0.25 ± 0.09. Therapy included 80% beta blockers and 92% ACE or ARB treated. All patients enrolled had symptoms for ≤ 6 mos and were diagnosed with acute, idiopathic cardiomyopathy or myocarditis. Baseline and 6 mo echoes in 140 pts reviewed by the core lab demonstrated increased ejection fraction (EF): 0.25 ± 0.09 to 0.40 ± 0.11 p<0.001; mean increase 0.15 ± 0.10. Recovery in EF from baseline to 6 mos was related to LVEDD at baseline as shown in the Figure . Kaplan Meier survival n=207 at 1 and 2 years 96% and 94% and transplant free survival at 1 and 2 yrs 92% and 91%. Conclusions: Results of IMAC 2 reveal a marked spontaneous improvement in EF over 6 months, greatest in those with non-dilated LVEDD at baseline, and excellent overall survival in ACM pts treated with evidence based therapies.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".