P5250Diastolic strain rate ratio as determined on MRI on detecting left ventricle stiffness and predict heart failure in post-STEMI patients
Bibliographic record
Abstract
Abstract Background ST-elevation myocardial infarction (STEMI) Patients suffered from progressive heart failure, for which progressive and aggravated Left ventricle stiffness was one of the major culprit. Myocardial deformation in the early diastole is largely affected by the left ventricle compliance which could partly reflect chamber stiffness and potentially predict left ventricular remodeling for post-STEMI patients. Purpose To determine the value of diastolic strain rate in detecting left ventricle stiffness and early heart failure in post-STEMI patients. Methods A number of 52 (M/F: 46/6, age: 54.27 [46.8–62.3]yrs) patients with STEMI three months ago were prospectively recruited from 2016 to 2017. Follow-up was done until 2018. The primary end points were the symptoms of heart failure (NYHA II-IV). Consent was acquired from each patient and 3.0 T MRI was arranged. Imaging analysis was performed on Cvi 42 (V5.9.3 Canada). Peak radial strain (PS) and strain rate (SR) were extracted both from 2D short- and long-axis cine images, while peak circumferential parameters only from the short axis slices and longitudinal the long axis slices. The diastolic strain rate ratios (DSRRs) were calculated as the peak early diastolic SR divided by the peak late diastolic SR, which were derived from the two peak points on the corresponding curve of time-to-SR curve in the diastole (Figure 1a). Receiver-operating characteristics curve analysis and Logistic regression test were done for statistical analysis on R project and P<0.05 was considered as significant. Results Three patients were excluded due to unsatisfied cine images. Among the 52 patients, none of the patients died or had congestive heart failure. 23/52 (44.2%) patients complained of heart failure symptoms at the one-year follow-up. No significant difference was found in LVEF and three directional peak strain values or systolic peak strain rates between the patients with and without heart failure. Patients with symptoms had lower Longitudinal PS (P=0.049), early diastolic radial SR (P=0.01798), longitudinal SR (P=0.0042), and decreased DSRR in all directions (Figure 1b). Multivariate Logistic regression test showed that only DSRR in the radial direction on the short axis (DSRR-SR) was the independent predictor of the heart failure symptoms (6.59; range, 6.71–3.68; P=0.026). ROC analysis demonstrated that the DSRR-SR of 2.35 had sensitivity 91.3% and specificity 58.6% for the prediction of heart failure (Figure 1c). Figure 1 Conclusion DSRR especially DSRR-SR was more sensitive to left ventricle stiffness change and help predict the progression of heart failure for Post-STEMI patients. Further studies were needed to verify the its association with other cardiovascular clinical events. Acknowledgement/Funding the National Natural Science Foundation of China (81600299,81471721, 81471722, 81771887, and 81771897,);
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".