Incremental Value of Left Ventricular Systolic and Diastolic Function to Determine Outcome in Patients with Acute ST‐Segment Elevation Myocardial Infarction: The Echocardiographic Substudy of the OASIS‐6 Trial
Bibliographic record
Abstract
BACKGROUND: The echocardiographic substudy of the OASIS-6 trial evaluated the prognostic implications of left ventricle (LV) systolic and diastolic dysfunction early postacute ST-segment elevation myocardial infarction (STEMI) in patients treated with fondaparinux versus usual care. METHODS: Comprehensive echocardiograms were performed a median of 6 days after the index STEMI in 528 patients, 258 randomized to fondaparinux and 270 to usual care (unfractionated heparin or placebo), to assess LV systolic and diastolic function, LV mass, and LV end-systolic and end-diastolic volumes. A total of 245 (46.4%) patients were followed up for 3 months and 283 (53.6%) for 6 months. Major cardiac events (MACE) were defined as the composite of death, reinfarction, heart failure, or cardiogenic shock and resuscitated cardiac arrest. RESULTS: Patients with LV ejection fraction (LVEF) ≤ 45% and restrictive diastolic function (RDF) were at greatly increased risk of MACE (hazard ratio [HR] = 8.85, 95% CI, 4.21–18.60) compared to patients with LVEF ≥ 45% and without RDF. RDF remained a strong predictor for MACE in patients with LVEF ≥ 45% (HR = 4.38, 95% CI, 1.52–12.60) and in multivariate models adjusted for LVEF, LV end-systolic volume, and clinical variables. CONCLUSION: In this large international trial, LV systolic and diastolic function, as determined by echocardiography early following STEMI, are incremental predictors of MACE. In addition, RDF is a strong independent predictor of MACE after STEMI across a broad range of LVEF.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".