Exploratory echocardiographic strain parameters for the estimation of myocardial infarct size in ST-elevation myocardial infarction

Prediction of an impaired myocardial work using infarct size in acute myocardial infarction

BACKGROUND

The relationship between myocardial infarct size (MIS) on late gadolinium-enhanced cardiac MRI (LGE MRI) and myocardial work (MW) indices assessed with MW echocardiography (MWE) has not been well characterized. This study aimed to determine an impaired MW using MIS in patients with acute myocardial infarction.

METHODS

Left ventricular (LV) two-dimensional speckle-tracking echocardiography, MWE, and LGE MRI were performed in 33 patients with ST-segment elevation myocardial infarction and in 30 age- and sex-comparable controls. LV global longitudinal strain (GLS), global work index (GWI), global constructive work (GCW), global wasted work (GWW), and global work efficiency (GWE) and MIS were acquired, respectively.

RESULTS

MIS was negatively correlated with GWI (r = -0.60, P  = 0.005), GCW (r =- 0.66, P  = 0.002) and GWE (r = -0.71, P  = 0.0004), but positively correlated with GLS (r = 0.68, P  = 0.001). With the receiver operating characteristic curve, the cutoff value of MIS for the prediction of an impaired GLS was 16.5% [area under the curve (AUC) = 0.867)], an impaired GWI was 19.2% (AUC = 0.727), an impaired GCW was 19.2% (AUC = 0.725), an increased GWW was 15.8% (AUC = 0.656), an impaired GWE was 15.8% (AUC = 0.880).

CONCLUSION

MIS is a strong predictor of impaired MW. Timely reduction of infarct size is essential to improve myocardial function.

Number of segments with motion abnormalities is better correlated with infarct size in acute myocardial infarction

BACKGROUND

The relationship between the number of segments with motion abnormalities (SMA) on the bull's-eye plots of speckle-tracking echocardiography (STE) and myocardial infarct size (MIS) on late gadolinium-enhanced cardiac MRI (LGE-cMRI) has not been well characterized. This study aimed to determine MIS using the number of SMA in patients with acute myocardial infarction (MI).

METHODS

Left ventricular two-dimensional STE and LGE-cMRI were performed in 380 patients with ST-segment elevation MI within 48 h and 5-6 days after primary percutaneous intervention, respectively.

RESULTS

Patients with impaired global and regional myocardial strain, work and greater number of SMA had significantly larger infarcts ( P  < 0.05). Multivariate logistic regression analysis that included myocardial strain, work, and number of SMA showed that total number of SMA [odds ratio (OR) = 1.976; 95% confidence interval (CI): 1.539-2.538, P  < 0.0001], the number of segments with paradoxalic systolic movements (SPSM, OR = 3.703; 95% CI: 2.112-6.493, P  < 0.0001) were independent risk factors of large MIS (>19%). The area under receiver operating characteristic curve (AUC) of 0.904 (0.866~0.942) for total number of SMA was superior to that for global longitudinal strain (GLS, AUC = 0.813, 0.761~0.865), global work efficiency (GWE, AUC = 0.794, 0.730~0.857) and number of SPSM (AUC = 0.851, 0.804-0.899) to predict a large MIS ( P  < 0.05). The optimal cutoff value of total number of SMA was 7, with a sensitivity of 85.31%, a specificity of 81.48%, and an accuracy of 83.27%.

CONCLUSION

Total number of SMA is better associated with infarct size, which provided an incremental prognostic value above established prognostic parameters such as GLS and GWE.

Quantitative evaluation of acute myocardial infarction by feature-tracking cardiac magnetic resonance imaging

Objective

To assess the value of feature-tracking cardiac magnetic resonance (FT-CMR) imaging in the quantitative evaluation of acute myocardial infarction (AMI).

Methods

We retrospectively analyzed medical records of patients with acute myocardial infarction (AMI) diagnosed in the Department of Cardiology of Hubei No.3 People's Hospital of Jianghan University from April 2020 to April 2022, who underwent feature-tracking cardiac magnetic resonance (FT-CMR) examination. Based on the electrocardiogram (ECG) findings, patients were divided into ST-elevation myocardial infarction (STEMI) (n=52) and non-STEMI (NSTEMI) (n=48) groups. We compared myocardial strain parameters between the two groups and applied the Pearson's test to reveal any correlations between the left ventricular myocardial strain parameters and the number of late gadolinium enhancement (LGE) positive segments; we assessed the clinical value of FT-CMR for predicting STEMI using a receiver operating characteristic (ROC) curve.

Results

The number of LGE-positive segments in the STEMI group was significantly higher than that in the NSTEMI group. The myocardial radial, circumferential and longitudinal strains in the STEMI group were significantly lower than those in the NSTEMI group (p<0.05). The number of LGE-positive segments in patients with AMI negatively correlated with the radial, circumferential and longitudinal strains. The results of the ROC curve analysis showed that radial, circumferential and longitudinal strain values have a diagnostic value for STEMI (p<0.05).

Conclusion

FT-CMR, a non-invasive and rapid method for analyzing myocardial strains, has a high diagnostic value for AMI and should be helpful for the prevention and intervention of ventricular remodeling after myocardial infarctions.

Exploratory echocardiographic strain parameters for the estimation of myocardial infarct size in ST-elevation myocardial infarction

Background

Outcome after ST‐elevation myocardial infarction (STEMI) can be most reliably estimated by cardiac magnetic resonance (CMR) imaging. However, CMR is expensive, laborious, and has only limited availability. In comparison, transthoracic echocardiography (TTE) is widely available and cost‐efficient.

Hypothesis

TTE strain parameters can be used as surrogate markers for CMR‐measured parameters after STEMI.

Methods

TTE strain analysis was performed of patients included in a controlled, prospective STEMI trial (NCT01777750) 4 ± 2 days after the event. Longitudinal peak strain (LPS), post‐systolic shortening, early systolic lengthening, early systolic lengthening time, and time to peak shortening were measured, and index parameters were computed. Global longitudinal strain (GLS) and ejection fraction (EF) were compiled. Parameters were correlated with CMR‐measured variables 4 ± 2 days after STEMI.

Results

In 70 STEMI patients, high quality CMR and TTE data were available. Highest correlation with CMR‐measured infarct size was observed with GLS (r = 0.577, p < 0.0001), LPS (r = 0.571, p < 0.0001), and EF (r = −0.533, p < 0.0001). Highest correlation with CMR‐measured area at risk was observed with GLS (r = 0.666, p < 0.0001), LPS (0.661, p < 0.0001) and early systolic lengthening index (r = 0.540, p < 0.0001). Receiver operating characteristics for the detection of large infarcts (quartile with highest infarct size) showed the highest area under the curve for LPS, GLS, EF, and myocardial dysfunction index. Multiple linear regression displayed the best association between GLS and infarct size.

Conclusion

Exploratory strain parameters significantly correlate with CMR‐measured area at risk and infarct size and are of potential interest as endpoint variables in clinical trials.