Valvulitis: a new echocardiographic criterion for the diagnosis of bioprosthetic aortic valve infective endocarditis

INTRODUCTION AND OBJECTIVES

Diffuse homogeneous hypoechoic leaflet thickening, with a wavy leaflet motion documented by transesophageal echocardiography (TEE), has been described in some cases of prosthetic valve endocarditis (PVE) involving aortic bioprosthesis (AoBio-PVE). This echocardiographic finding has been termed valvulitis. We aimed to estimate the prevalence of valvulitis, precisely describe its echocardiographic characteristics, and determine their clinical significance in patients with AoBio-PVE.

METHODS

From 2011 to 2022, 388 consecutive patients with infective endocarditis (IE) admitted to a tertiary care hospital were prospectively included in a multipurpose database. For this study, all patients with AoBio-PVE (n=86) were selected, and their TEE images were thoroughly evaluated by 3 independent cardiologists to identify all cases of valvulitis.

RESULTS

The prevalence of isolated valvulitis was 12.8%, and 20.9% of patients had valvulitis accompanied by other classic echocardiographic findings of IE. A total of 9 out of 11 patients with isolated valvulitis had significant valve stenosis, whereas significant aortic valve regurgitation was documented in only 1 patient. Compared with the other patients with AoBio-PVE, cardiac surgery was less frequently performed in patients with isolated valvulitis (27.3% vs 62.7%, P=.017). In 4 out of 5 patients with valve stenosis who did not undergo surgery but underwent follow-up TEE, valve gradients significantly improved with appropriate antibiotic therapy.

CONCLUSIONS

Valvulitis can be the only echocardiographic finding in infected AoBio and needs to be identified by imaging specialists for early diagnosis. However, this entity is a diagnostic challenge and additional imaging techniques might be required to confirm the diagnosis. Larger series are needed.

Redefining cardiac damage staging in aortic stenosis: the value of GLS and RVAc

AIMS

Cardiac damage staging has been postulated as a prognostic tool in patients undergoing transcatheter aortic valve replacement (TAVR). The aims of our study are (i) to validate cardiac damage staging systems previously described to stratify patients with aortic stenosis (AS), (ii) to identify independent risk factors for 1-year mortality in patients with severe AS undergoing TAVR, and (iii) to develop a novel staging model and compare its predictive performance to that of the above mentioned.

METHODS AND RESULTS

Patients undergoing TAVR from 2017 to 2021 were included in a single-centre prospective registry. Transthoracic echocardiography was performed in all patients before TAVR. Logistic and Cox's regression analysis were used to identify predictors of 1-year all-cause mortality. In addition, patients were classified based on previously published cardiac damage staging systems, and the predictive performance of the different scores was measured.Four hundred and ninety-six patients (mean age 82.1 ± 5.9 years, 53% female) were included. Mitral regurgitation (MR), left ventricle global longitudinal strain (LV-GLS) and right ventricular-arterial coupling (RVAc) were independent predictors of all-cause 1-year mortality. A new classification system with four different stages was developed using LV-GLS, MR, and RVAc. The area under the receiver operating characteristic curve was 0.66 (95% confidence interval 0.63-0.76), and its predictive performance was superior compared with the previously published systems (P < 0.001).

CONCLUSION

Cardiac damage staging might have an important role in patients' selection and better timing for TAVR. A model that includes LV-GLS, MR, and RVAc may help to improve prognostic stratification and contribute to better selection of patients undergoing TAVR.

Left ventricular volumes and ejection fraction quantification using an automated three-dimensional adaptive analytic echocardiographic algorithm in pediatric population

INTRODUCTION

The quantitative measurement of the left ventricle by echocardiography is a fundamental tool in the diagnosis and prognosis of acquired and congenital diseases in the pediatric population. The objective of this study was to validate an automated three-dimensional adaptive analytic echocardiographic algorithm, the so-called Heart Model^® (HM) in the pediatric population, using as comparators the left atrial and left ventricular volumes and left ventricular ejection fraction obtained by means of conventional 2D and 3D echocardiography.

METHODS

Pilot study, where a population comprised of 75 consecutive patients aged 6-17 years who attended a pediatric cardiology clinic, was evaluated. Every patient underwent a conventional 2D and 3D echocardiography and an analysis using HM. Conventional 3D echo was used as the reference method.

RESULTS

Seventy-five patients were analyzed. Mean age was 11.2 (4.0) years (52.2% women). The intraclass correlation coefficient of HM vs 2D echo was poor, but it was good for the agreement between HM and 3D echo for left ventricular end-diastolic volume (ICC: 0.98; 95% CI: 0.97-0.99; P < 0.001), left ventricular end-systolic volume ICC: 0.98; 95% CI: 0.96-0.99; P = 0.001), and left ventricular ejection fraction (ICC: 0.87; 95% CI: 0.78-0.92; P < 0.001). The agreement was also good for the three parameters when the analysis was performed according to body weight.

CONCLUSIONS

Heart Model^® is a feasible and accurate tool for the evaluation of left atrial and left ventricular volumes and left ventricular ejection fraction in pediatric population aged above 6 years.

Impact of Calcium Score on Agreement Between Multidetector Computed Tomography and Invasive Coronary Angiography

INTRODUCTION AND OBJECTIVES

Multidetector computed tomography (MDCT) has been demonstrated as a feasible alternative to invasive coronary angiography (ICA). However, contradictory results have been reported regarding the effect of coronary artery calcium score (CS) on the diagnostic accuracy of MDCT. Our aim was to assess the agreement of MDCT and ICA and to evaluate the influence of CS on this agreement.

METHODS

We enrolled 266 consecutive patients who underwent evaluation with 64-slice MDCT and ICA. Standard CS software tools were used to calculate the Agatston score. Stenosis was qualitatively classified as mild, moderate, or severe by 1 blinded observer and the results were compared with those of ICA, which was used as the gold standard.

RESULTS

The mean age of the patients was 65.4 ± 11.2 years, and 188 patients (70.3%) were men. A total of 484 segments with coronary stenosis ≥ mild were qualitatively evaluated and quantified with MDCT. Noninvasive measurements were concordant with ICA in 402 stenoses (83.05%; Kappa, 0.684), with no significant differences between vessels and with no statistically significant influence of CS on this agreement (OR, 0.93; 95%CI, 0.76-1.09; P = .21). Multidetector computed tomography had high sensitivity, specificity, positive predictive value, and negative predictive value on a per-segment, per-vessel, and per-patient basis.

CONCLUSIONS

Non-ICA using MDCT showed good agreement with ICA in the qualitative quantification coronary stenosis and CS had no significant impact on this agreement.

Myocardial bridging assessed by multidetector computed tomography: likely cause of chest pain in younger patients with low prevalence of dyslipidemia

INTRODUCTION AND OBJECTIVES

The relationship between myocardial bridging and symptoms is still unclear. The purpose of our study was to assess the relationship between myocardial bridging detected by multidetector computed tomography and symptoms in a patient population with chest pain syndrome.

METHODS

The study enrolled 393 consecutive patients without previous coronary artery disease studied for chest pain and referred to multidetector computed tomography between January 2007 and December 2010. Noninvasive coronary angiography was performed using multidetector computed tomography. Myocardial bridging was defined as part of a coronary artery completely surrounded by myocardium on axial and multiplanar reformatted images.

RESULTS

Mean age was 64.6 (12.4) years and 44.8% were male. Multidetector computed tomography detected 86 myocardial bridging images in 82 of the 393 patients (20.9%). Left anterior descending was the most frequent coronary artery involved (87.2%). The prevalence of myocardial bridging was significantly higher in patients without significant atherosclerotic coronary stenosis on multidetector computed tomography (24.9% vs 15.0%; P=.02). Patients with myocardial bridging were younger (60.3 [13.8] vs 65.8 [11.9]; P<.001), had less prevalence of hyperlipidemia (29.3% vs 41.8%; P=.03), and more prevalence of cardiomyopathy (6.1% vs 1.6%, P=.02) compared with patients without myocardial bridging on multidetector computed tomography.

CONCLUSIONS

Multidetector computed tomography is an easy and reliable tool for comprehensive in vivo diagnosis of myocardial bridging. The results of the present study suggest myocardial bridging is the cause of chest pain in a subgroup of younger aged patients with less prevalence of hyperlipidemia and more prevalence of cardiomyopathy than patients with significant atherosclerotic coronary artery disease on multidetector computed tomography. Full English text available from:www.revespcardiol.org.

Prosthesis/annulus discongruence assessed by three-dimensional transoesophageal echocardiography: a predictor of significant paravalvular aortic regurgitation after transcatheter aortic valve implantation

AIMS

Paravalvular aortic regurgitation (AR) is common after transcatheter aortic valve implantation (TAVI). This study aimed to assess the prosthesis/aortic annulus discongruence by three-dimensional (3D) transoesophageal (TOE) planimetry of aortic annulus and its impact on the occurrence of significant AR after TAVI.

METHODS AND RESULTS

We included 33 patients who underwent TAVI with a balloon expandable device for severe aortic stenosis. To appraise the prosthesis/annulus discongruence, we defined a 'mismatch index' expressed as: annulus area - prosthesis area. The aortic annulus area was planimetered with 3D TOE, and approximated by circular area formula (π r(2)) using annulus diameter obtained by two-dimensional (2D) TOE. After TAVI, 13 patients (39.3%) developed significant AR (≥2/4). The occurrence of significant AR was associated to the 3D planimetered annulus area (P = 0.04), and the 'mismatch index' obtained through 3D planimetered annulus area (P = 0.03), but not to 'mismatch index' derived of 2D annulus diameter. In multivariate analysis, 'mismatch index' for 3D planimetered annulus area was the only independent predictor of significant AR (odds ratio: 10.614; 95% CI: 1.044-17.21; P = 0.04). The area under the receiver operating characteristic curve for the 'mismatch index' by the 3D planimetered annulus area was 0.76 (95% CI: 0.54-0.92), whereas for 'mismatch index' obtained by the 2D circular area was 0.36 (95% CI: 0.17-0.55). Using the 3D planimetered annulus area as the reference parameter to decide the prosthetic size, the choice would have been different in 21 patients (63%).

CONCLUSION

Three-dimensional TOE planimetry of aortic annulus improves the assessment of prosthesis/annulus discongruence and predicts the appearance of significant AR after TAVI.

Full-volume Color Flow Quantification in Mitral Regurgitation

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