Postsystolic Shortening by Speckle Tracking Echocardiography Is an Independent Predictor of Cardiovascular Events and Mortality in the General Population

Brainin, Philip; Biering-Sørensen, Sofie; Møgelvang, Rasmus; Søgaard, Peter; Jensen, Jan Skov

doi:10.1161/jaha.117.008367

Cited by 44 publications

(41 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Previous studies have shown that the assessment of PSS is helpful for the determination of acute ischemic episodes and is more accurate than traditional parameters, such as peak systolic strain and wall thickening. The severity of myocardial PSS can be graded using the PSI . There is an association between myocardial fibrosis and the PSI that may be due to delayed myocardial relaxation, increased left ventricular stiffness, and impaired coronary flow reserve …”

Section: Discussionmentioning

confidence: 99%

“…The severity of myocardial PSS can be graded using the PSI. 5 There is an association between myocardial fibrosis and the PSI that may be due to delayed myocardial relaxation, increased left ventricular stiffness, and impaired coronary flow reserve. 23 Postsystolic motion (PSM), which is a common finding in patients with heart failure, especially in patients with a wide QRS and long isovolumic relaxation time, is a robust marker of LV intraventricular dyssynchrony.…”

Section: Discussionmentioning

confidence: 99%

“…For segments that showed a positive or biphasic strain with a peak positive strain greater than the maximum absolute negative strain, the difference was considered to be zero . The PSI was computed as follows:

\begin{matrix} PSI = & ([maximum strain in cardiac cycle - \\ peak systolic strain] / [maximum strain in cardiac cycle]) \times 100 \end{matrix}

…”

Section: Methodsmentioning

confidence: 99%

“…PSI = ([maximum strain in the cardiac cycle – the peak systolic strain]/[maximum strain in the cardiac cycle]) × 100 . In this study, we investigated whether SDI and PSI can be used to distinguish between ischemic and nonischemic LBBB.…”

Section: Introductionmentioning

confidence: 99%

“…The postsystolic index (PSI) is defined as follows: PSI = ([maximum strain in the cardiac cycle -the peak systolic strain]/[maximum strain in the cardiac cycle]) × 100. 4,5 In this study, we investigated whether SDI and PSI can be used to distinguish between ischemic and nonischemic LBBB. We also determined whether there was any association between SDI, PSI, and other echocardiographic variables within each group.…”

mentioning

confidence: 99%

See 4 more Smart Citations

Postsystolic index for distinguishing coronary artery disease in left bundle branch block

et al. 2019

View full text Add to dashboard Cite

Background Left bundle branch block (LBBB) is associated with a high risk of death, particularly from ventricular tachyarrhythmia and myocardial infarction. It is difficult to clinically differentiate between ischemic and nonischemic LBBB. In this study, we investigated whether advanced echocardiographic variables, such as strain delay index (SDI) and postsystolic index (PSI), can be used to distinguish coronary artery disease (CAD) in patients with LBBB. Methods Our study included 102 patients with LBBB. All patients underwent echocardiography. The left ventricular ejection fraction (LVEF), left ventricular mass, PSI, SDI, global longitudinal strain (GLS), and time‐to‐peak longitudinal strain were then calculated. Coronary angiography was performed, and the patients were divided into groups with significant CAD and without significant CAD. Results Patients in the group with significant CAD were older than the patients in the group without significant CAD. The group had a higher prevalence of diabetes mellitus, hypertension, hyperlipidemia, and family history of CAD than the group without significant CAD. The group with significant CAD also had lower LVEF and GLS than the group without significant CAD. The group without significant CAD showed a direct correlation between LVEF and SDI and an inverse correlation between LVEF and PSI: P value = 0.040 and r = 0.255, and P value = 0.001 and r = −0.427, respectively. However, the group with significant CAD did not show any significant correlation between LVEF and SDI or PSI. Conclusion Strain delay index and PSI may be useful markers in distinguishing CAD in patients with LBBB and preserved LVEF.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

\begin{matrix} PSI = & ([maximum strain in cardiac cycle - \\ peak systolic strain] / [maximum strain in cardiac cycle]) \times 100 \end{matrix}

…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Postsystolic index for distinguishing coronary artery disease in left bundle branch block

et al. 2019

View full text Add to dashboard Cite

show abstract

Association Between Malignant Mitral Valve Prolapse and Sudden Cardiac Death

et al. 2020

View full text Add to dashboard Cite

IMPORTANCE Malignant arrhythmic mitral valve prolapse (MVP) phenotype poses a substantial risk of sudden cardiac death (SCD), and an estimated 26 000 individuals in the United States are at risk of SCD per year. Thus, identifying risk-stratification strategies for SCD is imperative.OBSERVATIONS Patients with MVP have a heterogenous clinical spectrum, ranging from a benign course to a devastating complication such as SCD. Some of the high-risk markers of MVP, which are identified electrocardiographically, include inverted or biphasic T waves, QT dispersion, QT prolongation, and premature ventricular contractions originating from the left ventricular outflow tract and papillary muscles. Morphofunctional characteristics of SCD are leaflet thickness of 5 mm or greater, mitral annulus disjunction, paradoxical systolic increase of the mitral annulus diameter, increased tissue Doppler velocity of the mitral annulus, and higher mechanical dispersion on echocardiography and fibrosis identified by late gadolinium enhancement on cardiac magnetic resonance imaging.CONCLUSIONS AND RELEVANCE Findings from this review suggest that SCD can occur earlier in the course of MVP from complex arrhythmias that are triggered by the repeated tugging and traction of the chordopapillary muscle unit and basal mid-myocardium, even before macrofibrosis can be identified in these regions by late gadolinium enhancement on cardiac magnetic resonance imaging. Some of the newer markers identified by speckle-tracking Doppler, such as mechanical dispersion, myocardial work index, and postsystolic shortening, need further validation in a larger population.

show abstract

Multi-parametric speckle tracking analyses to characterize cardiac amyloidosis: a comparative study of systolic left ventricular longitudinal myocardial mechanics

Bogunović

Farr

Pirl³

et al. 2022

Heart Vessels

View full text Add to dashboard Cite

Cardiac amyloidosis (CAM), the most common cardiac storage disease is associated with significant changes in left-ventricular (LV) morphology and function. To gain particular insights into LV systolic longitudinal myocardial mechanics we investigated seven parameters derived by speckle-tracking-echocardiography (STE) in patients with confirmed CAM (n = 59). The results were compared with those of individuals with healthy heart (n = 150) and another primary myocardial disease with also thickened myocardium and severe diastolic and systolic LV-dysfunction (symptomatic LV-non-compaction-cardiomyopathy, LV-NC, n = 30). In addition to standard echocardiographical measures, the STE-derived data were evaluated and documented utilizing polar-diagrams to obtain overviews of longitudinal myocardial mechanics of the entire LV. Compared with healthy individuals, patients with CAM and LV-NC showed significantly reduced LV-ejection-fraction (EF), global longitudinal systolic peak-strain, strain-rate, and displacement. Pre-systolic stretch-index, post-systolic index, and the EF/global peak-longitudinal-strain-ratio (EF/S) were increased. In contrast to healthy-hearts and the LV-NC group only patients with CAM demonstrated significantly reduced time-to-peak systolic longitudinal strain and time-to-peak strain-rate. Although the level of the segmental values in longitudinal mechanics was significantly different between the groups, comparable intraventricular baso-apical parameter-gradients were found for systolic longitudinal peak-strain and strain-rate, pre-systolic-stretch-index, post-systolic-index, and peak systolic displacement. Compared to ATTR-amyloidosis (ATTR-CAM), patients with AL-amyloidosis (AL-CAM) demonstrated significantly lower end-diastolic and end-systolic LV-volumes, LV-mass-indices, relative apical strain, time-to-peak systolic longitudinal strain, and time-to-peak longitudinal strain-rate. CAM and LV-NC demonstrated altered myocardial mechanics with significantly different STE-derived echocardiographical parameters. ATTR-amyloidosis and AL-amyloidosis had at least significantly different time-to-peak strain, time-to-peak strain-rate and relative apical sparing values.

show abstract

Postsystolic Shortening by Speckle Tracking Echocardiography Is an Independent Predictor of Cardiovascular Events and Mortality in the General Population

Cited by 44 publications

References 32 publications

Postsystolic index for distinguishing coronary artery disease in left bundle branch block

Postsystolic index for distinguishing coronary artery disease in left bundle branch block

Association Between Malignant Mitral Valve Prolapse and Sudden Cardiac Death

Multi-parametric speckle tracking analyses to characterize cardiac amyloidosis: a comparative study of systolic left ventricular longitudinal myocardial mechanics

Contact Info

Product

Resources

About