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Introduction: Previous studies have investigated the potential influence of prior aspirin use on cardiac function in patients with ST-elevation myocardial infarction (STEMI) who undergo primary percutaneous coronary intervention (PPCI). However, the results from these studies have been conflicting. This study aimed to investigate whether prior aspirin use affects left ventricular (LV) function in these patients using echocardiography. Methods: The study included 260 consecutive STEMI patients, who were divided into two groups based on the presence or absence of prior aspirin use. Echocardiographic parameters, such as maximal left atrial (LA) size, LV ejection fraction (LVEF), early diastolic velocity (e'), E/A ratio, and E/e' ratio, were assessed within 72 hours of admission. Results: Aspirin users had an older age compared to non-users, as well as lower body mass index and renal function. They also had a greater history of hypertension and were more likely to be taking statins, angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, and calcium channel blockers. There were no significant differences in LVEF, maximal LA size, E/A ratio, E/e' ratio, and deceleration time between aspirin users and non-users. e' wave was marginally lower in aspirin users (P =0.054). After controlling for confounding variables, the previous use of aspirin did not show a significant impact. Conclusion: Prior aspirin use in STEMI patients does not have a significant impact on LV echocardiographic parameters. Our conclusions remained consistent even after adjusting for potential confounders. [ABSTRACT FROM AUTHOR]

Cardiovascular diseases (CVD) are today a major cause of death globally that is diagnosed by measurement and quantification of left ventricle (LV) wall motion (WM) abnormality of heart. The aim of this study was to assess the utility of left ventricular (LV) entropy, a novel measure of disease derived from two-dimensional (2D) echocardiography images that assesses the probability distribution of pixel intensities in the LV. The proposed of this research is to develop the method of LV entropy to predict heart diseases. In this algorithm, a frame is usually chosen as the reference frame to extract region of interest (ROI) around LV and then it is mapped to all images in a cardiac cycle. Then Shannon Entropy transform was applied to calculate the distribution of pixel intensities across the LV so we obtained entropy curves and compared them. The main idea is to find a motion estimation accuracy. The results obtained by our method are quantitatively evaluated to those obtained by an experienced echocardiographer visually on 22 normal cases and 19 myocardial infarction (MI) cases in apical four-chamber (A4C) view. The entropy of diastole in MI cases was 0.50 (0.29- 0.58) while in normal cases was 0.75 (0.64-1.13). The entropy of systole in MI cases was 0.64 (0.26-1.04) while in normal cases was 0.81 (0.63-1.26). The percent change of entropy for diastole and systole between normal and MI cases are 33.3% and 20.2%. The results indicate that the LV entropy curves of MI cases have less changes than normal cases. [ABSTRACT FROM AUTHOR]

Conditions other than stenosis also disturb the coronary flow. Such conditions include the coronary slow flow phenomenon, coronary artery ectasia, and coronary artery tortuosity. Evidence exists regarding myocardial dysfunction in these conditions. In this review, we present studies that have used speckle‐tracking echocardiography to determine whether coronary flow disturbances are accompanied by myocardial dysfunction. Additionally, we seek to show the gaps in knowledge concerning this issue and the dimensions that future studies should consider. [ABSTRACT FROM AUTHOR]