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

Myocardial work is independent risk factor for coronary artery lesions in children with Kawasaki disease

BACKGROUND

The recognition ability of noninvasive echocardiographic myocardial work for coronary artery lesions (CAL) in children with Kawasaki disease (KD) has not been well characterized. This study aimed to determine whether impaired myocardial work is an independent risk factor for CAL in children with KD.

METHODS

Between December 2021 and April 2023, left ventricular (LV) myocardial work of 59 KD children was evaluated by myocardial work echocardiography, and their demographic, clinical and laboratory data were collected simultaneously. Multivariable logistic regression analysis was used to identify the independent risk factors for CAL.

RESULTS

Twenty-seven of 59 KD children had CAL according to the diagnostic criteria of echocardiography. There were significantly different heart rates, white blood cell count, LV ejection fraction, global work index (GWI), global work efficiency and global wasted work (GWW) between KD children with and without CAL ( P < 0.05). Multivariate logistic regression analysis identified that GWI [odds ratio (OR) = 0.985; P = 0.001], GWW (OR = 1.039; P = 0.019), erythrocyte sedimentation rate (ESR, OR = 1.051; P = 0.049) and C-reactive protein (CRP) (OR = 1.017; P = 0.044) were independent risk factors for CAL in children with KD. The area under receiver operating characteristic curve (AUC) of 0.847 for GWI was superior to that for GWW (AUC = 0.708), ESR (AUC = 0.645) and CRP (AUC = 0.626) to predict CAL in KD children ( P < 0.05). The optimal cutoff value of GWI was 1089 mmHg, with a sensitivity of 59.26% and a specificity of 96.87%.

CONCLUSION

GWI and GWW were independent risk factors for CAL in KD children with high discrimination ability.

Clinical study of two-dimensional speckle tracking to evaluate abnormal myocardial motion due to coronary lesions

OBJECTIVE

To investigate the predictive ability of global longitudinal strain (GLS) and mechanical dispersion for coronary stenosis and provide a more reliable noninvasive method for diagnosis of obstructive coronary artery disease(OCAD).

METHODS

Sixty-seven patients diagnosed with suspected CAD were included in the study. Patients with coronary stenosis greater than 50% were assigned as OCAD, while the others were assigned as non obstructive coronary artery disease(NOCAD). General information was collected and patients underwent speckle tracking echocardiogram(STE).

RESULTS

Spearman's correlation analysis showed that GLS and mechanical dispersion were positively correlated with the degree of coronary stenosis (r = 0.383, 0.342, p < 0.05), and there was also a positive correlation between GLS and mechanical dispersion (r = 0.327, p < 0.05). GLS, longitudinal strain (LS) of each chamber, and mechanical dispersion were higher in the OCAD group than in the NOCAD group (p < 0.05). Univariate regression analysis showed that GLS, each lumen LS and mechanical dispersion were statistically significant (p < 0.05). Multifactorial regression analysis showed that elevated GLS (p = 0.007) and elevated mechanical dispersion (p = 0.030) were independent risk factors for OCAD. The ROC curves showed that GLS predicted OCAD (AUC area 0.745, 95% CI 0.624 to 0.865) versus mechanical discrete prediction of OCAD (AUC area 0.702, 95% CI 0.569 to 0.834) were more diagnostic than conventional cardiac ultrasound observations of ventricular wall motion abnormalities (AUC area 0.566, 95% CI 0.463 to 0.669).

CONCLUSIONS

Combining GLS with mechanical dispersion can rapidly assess OCAD in a very short period, which has strong promotion value and in-depth research value.