Tricuspid annular area and leaflets stretch are associated with functional tricuspid regurgitation - insights from three-dimensional transesophageal echocardiography.

BACKGROUND: The presence of functional tricuspid regurgitation (TR) is associated with mortality and morbidity. Although uniform management with a tricuspid annuloplasty ring is currently considered as a standard surgical procedure, high rates of residual TR despite annuloplasty are reported. Therefore, the identification of the TR mechanisms would be necessary to provide personalized treatment for each TR patient. METHODS: This study population consisted of 106 patients with mitral regurgitation (MR) who were scheduled for procedure. Transthoracic and transesophageal echocardiography were performed prior to mitral valve intervention. We performed three-dimensional quantitative assessment including tricuspid annular (TA) area and the distance between the three commissures of tricuspid valve. RESULTS: Significant TR, which is defined as moderate or greater TR, was detected in 23 (22%). TA area (P < 0.01), the distance of septal-leaflet length (SL) (P = 0.03) and posterior-leaflet length (PL) (p = 0.02) were significantly associated with significant TR, while TA diameter assessed by transthoracic echocardiography was not. When patients were divided into four groups according to SL and PL, the group with longer SL and PL had a significantly higher incidence of significant TR (P < 0.01). CONCLUSIONS: Greater stretch of the septal and posterior leaflet between commissures and larger TA area are associated with significant TR in patients with severe MR. In order to prevent TR recurrence, the intervention of the septal leaflet in tricuspid annuloplasty may be beneficial. The precise implement of three-dimensional transesophageal echocardiography of tricuspid valve is valuable for a personalized strategy of tricuspid annuloplasty.

Left atrial volume index predicts future improvement of B-type natriuretic peptide levels after transcatheter aortic valve replacement.

In patients with symptomatic severe aortic stenosis (AS), those who experienced readmission due to heart failure after transcatheter aortic valve replacement (TAVR) showed poor prognosis. Furthermore, poor B-type natriuretic peptide (BNP) improvement is associated with increased morbidity and mortality. However, little is known about the clinical parameters related to the change in BNP levels after TAVR procedure. This study population consisted of 127 consecutive patients of symptomatic severe AS with preserved ejection fraction (EF) who underwent transfemoral TAVR (TF-TAVR). Comprehensive transthoracic echocardiography was performed prior to the day of TF-TAVR. BNP was measured serially before and 1 year after TF-TAVR. The median BNP level was significantly decreased from 252.5 pg/ml to 146.8 pg/ml in all 127 patients 1 year after TF-TAVR (P < 0.01). However, the patients could be divided into 2 groups according to decrease (72%) or increase (28%) in plasma BNP level. Multivariate logistic regression analysis revealed that Aortic valve (AV) peak velocity, pre-procedural BNP, and larger left atrial volume index (LAVI) were found to be an independent predictor of increased BNP level 1 year after TAVR (OR 0.55, 95% CI 0.38-0.77; P < 0.01). LAVI were negatively correlated with the change in BNP level before and 1 year after TAVR (r = 0.47, P < 0.01). The ROC analysis demonstrated that 52.9 ml/m2 was the optimal cut-off value of LAVI for decreasing BNP 1 year after TAVR (area under the curve 0.69) with 64% sensitivity and 70% specificity. In addition to AV peak velocity and pre-procedural BNP, LAVI independently predicts future improvement of BNP levels 1 year after TAVR. Our findings indicate an additive predictive value of assessment of LAVI before TAVR procedure for risk stratification.

Difference in risk factors of silent brain infarction between paroxysmal and persistent atrial fibrillation.

BACKGROUND: Although silent brain infarction is an independent risk factor for subsequent symptomatic stroke and dementia in patients with nonvalvular atrial fibrillation, little is known regarding differences in risk factors for silent brain infarction between patients with paroxysmal and persistent nonvalvular atrial fibrillation. METHODS: This study population consisted of 190 neurologically asymptomatic patients (mean age, 64 ± 11 years) with nonvalvular atrial fibrillation (119 paroxysmal, 71 persistent) who were scheduled for catheter ablation. All patients underwent brain magnetic resonance imaging to screen for silent brain infarction prior to ablation. Transthoracic and transesophageal echocardiography was performed to screen for left atrial abnormalities (left atrial enlargement, spontaneous echo contrast, or left atrial appendage emptying velocity) and complex plaques in the aortic arch. RESULTS: Silent brain infarction was detected in 50 patients (26%) [26 patients (22%) in paroxysmal vs. 24 patients (34%) in persistent, p = 0.09]. Multiple logistic regression analysis indicated that age and diabetes mellitus or chronic kidney disease (estimated glomerular filtration rate < 60 mL/min/1.73 m2) were associated with silent brain infarction in patients with paroxysmal nonvalvular atrial fibrillation (p < 0.05), whereas no modifiable risk factors of silent brain infarction were observed in patients with persistent nonvalvular atrial fibrillation. CONCLUSIONS: These findings suggest that intensive intervention for diabetes mellitus and renal impairment from the paroxysmal stage or ablation therapy at the time of paroxysmal stage to prevent progression to persistent nonvalvular atrial fibrillation may prevent silent brain infarction and consequently reduce the risk of future symptomatic stroke.

Prevalence and Risk Factors of Silent Brain Infarction in Patients with Aortic Stenosis.

INTRODUCTION: Silent brain infarction (SBI) is an independent risk factor for subsequent symptomatic stroke in the general population. Although aortic stenosis (AS) is also known to be associated with an increased risk of future symptomatic stroke, little is known regarding the prevalence and risk factors for SBI in patients with AS. METHODS: The study population comprised 83 patients with severe AS with no history of stroke or transient ischemic attack and paralysis or sensory impairment (mean age 75 ± 7 years). All patients underwent brain magnetic resonance imaging to screen for SBI and multidetector-row computed tomography to quantify the aortic valve calcification (AVC) volume. Comprehensive transthoracic and transesophageal echocardiography were performed to evaluate left atrial (LA) abnormalities, such as LA enlargement, spontaneous echo contrast, or abnormal LA appendage emptying velocity (<20 cm/s), and complex plaques in the aortic arch. RESULTS: SBI was detected in 38 patients (46%). Multiple logistic regression analysis indicated that CHA2DS2-VASc score and estimated glomerular filtration rate (eGFR) were independently associated with SBI (p < 0.05), whereas LA abnormalities and AVC volume were not. When patients were divided into 4 groups according to CHA2DS2-VASc score and eGFR, the group with a higher CHA2DS2-VASc score (≥4) and a lower eGFR (<60 mL/min/1.73 m2) had a greater risk of SBI than the other groups (p < 0.05). CONCLUSION: These findings indicate that AS is associated with a high prevalence of SBI, and that the CHA2DS2-VASc score and eGFR are useful for risk stratification.

3-D diffusion tensor MRI anisotropy content-adaptive finite element head model generation for bioelectromagnetic imaging.

Realistic finite element (FE) head models have been successfully applied to bioelectromagnetic problems due to a realistic representation of arbitrary head geometry with inclusion of anisotropic material properties. In this paper, we propose a new automatic FE mesh generation scheme to generate a diffusion tensor MRI (DT-MRI) white matter anisotropy content-adaptive FE head model. We term this kind of mesh as wMesh. With this meshing technique, the anisotropic electrical conductivities derived from DT-MRIs can be best incorporated into the model. The influence of the white matter anisotropy on the EEG forward solutions has been studied via our wMesh head models. The scalp potentials computed from the anisotropic wMesh models against those of the isotropic models have been compared. The results describe that there are substantial changes in the scalp electrical potentials between the isotropic and anisotropic models, indicating that the inclusion of the white matter anisotropy is critical for accurate computation of E/MEG forward and inverse solutions. This fully automatic anisotropy-adaptive wMesh meshing scheme could be useful for modeling of individual-specific FE head models with better incorporation of the white matter anisotropic property towards bioelectromagnetic imaging.