The Feasibility of the Initial Postsystolic to Systolic Strain Rate Ratio as a Predictor of the Viability of Ischemic Myocardium with Acute Myocardial Infarction
Bibliographic record
Abstract
BACKGROUND: Investigations of a strain index for the viability of ischemic myocardium with acute myocardial infarction (AMI) have been challenging. Therefore, the aim of this study was to evaluate patients with AMI to determine an optimal strain index for predicting the viability of ischemic myocardium. METHODS AND RESULTS: A total of 57 patients with AMI were assessed according to two-dimensional (2D) speckle tracking imaging strain and strain rate (SR), measured during the acute phase before urgent revascularization and at a 1-year follow-up postrevascularization. During the acute phase, all the myocardial segments were classified according to the acute end-systolic strain (Ses) values as normal (Ses ≤ -13%), hypocontractile (-13% < Ses ≤ -7%), or having a severe contractile abnormality (Ses > -7%). At the 1-year follow-up, we reassessed the recovery of the segments with a severe contractile abnormality. The viability of these segments was defined as an improved Ses (≤ -7%) at follow-up postrevascularization. The Ses values, postsystolic strain index (PSI), and SR values were significantly better in the viable segments than in the nonviable segments at both the acute phase and at follow-up (P < 0.001). The initial postsystolic to systolic SR ratio (SRps/SRs) had the best area under the curve (AUC = 0.897). In addition, a cutoff value of 0.6 predicted recovery from a severe contractile abnormality with a sensitivity of 75% and a specificity of 88%. CONCLUSIONS: The initial SRps/SRs ratio identified the viability of ischemic myocardium with AMI; therefore, this novel index may be clinically useful in the treatment of patients with AMI.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".