Left atrial strain reproducibility using vendor-dependent and vendor-independent software

Wang, Yu; Li, Zhilian; Fei, Hongwen; Yu, Yong‐Sen; Ren, Siqi; Lin, Qiongwen; Li, Hezhi; Tang, Yongwen; Hou, Yuezheng; Li, Mingqi

doi:10.1186/s12947-019-0158-y

Cited by 37 publications

(23 citation statements)

References 33 publications

(33 reference statements)

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“…e inter-and intraobserver correlation coefficients were 0.8 and 0.9, respectively, which are consistent with those of previous work [22].…”

Section: Discussionsupporting

confidence: 92%

Left Atrial Strain as Evaluated by Two-Dimensional Speckle Tracking Predicts Left Atrial Appendage Dysfunction in Chinese Patients with Atrial Fibrillation

Wang

Zhong

et al. 2020

Cardiology Research and Practice

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Left atrial appendage (LAA) dysfunction identified by transesophageal echocardiography (TEE) is a powerful predictor of stroke in patients with atrial fibrillation (AF). The aim of our study is to assess if there is a correlation between the left atrial (LA) functional parameter and LAA dysfunction in the AF patients. This cross-sectional study included a total of 249 Chinese AF patients who did not have cardiac valvular diseases and were undergoing cardiac ablation. TEE was performed in all the patients who were categorized into two groups according to their left atrial appendage (LAA) function. A total of 120 of the 249 AF patients had LAA dysfunction. Univariate and multivariate logistic regression was conducted to assess the independent factors that correlated with the LAA dysfunction. Different predictive models for the LAA dysfunction were compared with the receiver operating characteristic (ROC) curve. The final ROC curve on the development and validation datasets was drawn based on the calculation of each area under the curves (AUC). Univariate and multivariate analysis showed that the peak left atrial strain (PLAS) was the most significant factor that correlated with the LAA dysfunction. PLAS did not show inferiority amongst all the models and revealed strong discrimination ability on both the development and validation datasets with AUC 0.818 and 0.817. Our study showed that a decrease in PLAS is independently associated with LAA dysfunction in the AF patients.

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“…e inter-and intraobserver correlation coefficients were 0.8 and 0.9, respectively, which are consistent with those of previous work [22].…”

Section: Discussionsupporting

confidence: 92%

Left Atrial Strain as Evaluated by Two-Dimensional Speckle Tracking Predicts Left Atrial Appendage Dysfunction in Chinese Patients with Atrial Fibrillation

Wang

Zhong

et al. 2020

Cardiology Research and Practice

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“…Fifth, EchoPAC is not dedicated software for the analysis of LA strain; currently, a dedicated software product recognized for the assessment of LA strain is not available, and thus we applied the commonly used software for the left ventricle in our study. Furthermore, the values of LA strain are vendor-dependent; therefore, the same 2D-STE software should be used to analyze LA strain for patient diagnosis and follow-up [21,40]. Finally, the reliability of LA strain is influenced by image quality, and LA strain needs to be analyzed by ultrasound software offline.…”

Section: Discussionmentioning

confidence: 99%

Left atrial reservoir strain combined with E/E' as a better single measure to predict elevated LV filling pressures in patients with coronary artery disease

Lin

Gao

et al. 2020

Cardiovasc Ultrasound

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Background: The 2016 guidelines for left ventricular diastolic dysfunction diagnosis has been simplified from previous versions; however, multiparametric diagnosis approach still exists indeterminate left ventricular diastolic dysfunction category. Left atrial (LA) strain was recently found useful to predict elevated left ventricular (LV) filling pressures noninvasively. This study aimed to (1) analyze the diagnostic value of LA strain for noninvasive assessment of LV filling pressures in patients with stable coronary artery disease (CAD) with preserved LV ejection fraction (LVEF), using invasive hemodynamic assessment as the gold standard, and (2) explore whether LA strain combined with conventional diastolic parameters could detect elevated LV filling pressures alone. Methods: Sixty-four patients with stable CAD having LVEF > 50% and 30 healthy controls were enrolled. Twodimensional speckle-tracking echocardiography was used to measure LA strain during the reservoir (LASr), conduit, and contraction phases. LV end-diastolic pressure (LVEDP), as a surrogate for LV filling pressures, was invasively obtained by left heart catheterization. Logistic regression was used to calculate the odds ratio to predict LV filling pressures. Pearson's correlation was used to analyze associations between echocardiographic parameters and LVEDP. The area under the receiver-operating characteristic curve was calculated to determine the capability of the echocardiographic parameters to detect elevated LVEDP. Inter-technique agreement was analyzed by contingency tables and tested by kappa statistics.

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“…Probably, the necessity of dedicated software makes LA deformation imaging less available nowadays. Moreover, a different software application could be a source of variability [ 46 ]. Data regarding the learning curve can be extrapolated from LV strain imaging since a minimum of 50 examinations are required for becoming proficient in LVGLS assessment [ 47 ].…”

Section: Discussionmentioning

confidence: 99%

A Systematic Review on the Correlations between Left Atrial Strain and Cardiovascular Outcomes in Chronic Kidney Disease Patients

et al. 2021

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Left atrial strain (LASr) represents a relatively new but promising technique for left atrial and left ventricle function evaluation. LASr was strongly linked to myocardial fibrosis and endocardial thickness, suggesting the utility of LASr in subclinical cardiac dysfunction detection. As CKD negatively impacts cardiovascular risk and mortality, underlying structural and functional abnormalities of cardiac remodeling are widely investigated. LASr could be used in LV diastolic dysfunction grading with an excellent discriminatory power. Our objectives were to assess the impact and existing correlations between LASr and cardiovascular outcomes, as reported in clinical trials, including patients with CKD. We searched PubMed, Web of Science, Embase, and the Cochrane Central Register of Controlled Trials for full-text papers. As reported in clinical studies, LASr was associated with adverse cardiovascular outcomes, including cardiovascular death and major adverse cardiovascular events (HR 0.89, 95% CI, 0.84–0.93, p < 0.01), paroxysmal atrial fibrillation (OR 0.847, 95% CI, 0.760–0.944, p = 0.003), reduced exercise capacity (AUC 0.83, 95% CI, 0.78–0.88, p < 0.01), diastolic dysfunction (p < 0.05), and estimated pulmonary capillary wedge pressure (p < 0.001). Despite limitations attributed to LA deformation imaging (image quality, inter-observer variability, software necessity, learning curve), LASr constitutes a promising marker for cardiovascular events prediction and risk evaluation in patients with CKD.

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Left atrial strain reproducibility using vendor-dependent and vendor-independent software

Cited by 37 publications

References 33 publications

Left Atrial Strain as Evaluated by Two-Dimensional Speckle Tracking Predicts Left Atrial Appendage Dysfunction in Chinese Patients with Atrial Fibrillation

Left Atrial Strain as Evaluated by Two-Dimensional Speckle Tracking Predicts Left Atrial Appendage Dysfunction in Chinese Patients with Atrial Fibrillation

Left atrial reservoir strain combined with E/E' as a better single measure to predict elevated LV filling pressures in patients with coronary artery disease

A Systematic Review on the Correlations between Left Atrial Strain and Cardiovascular Outcomes in Chronic Kidney Disease Patients

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