P5250Diastolic strain rate ratio as determined on MRI on detecting left ventricle stiffness and predict heart failure in post-STEMI patients
Notice bibliographique
Résumé
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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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».