Novel echocardiographic pixel intensity quantification method for differentiating transthyretin cardiac amyloidosis from light chain cardiac amyloidosis and other phenocopies.

AIMS: Differentiating cardiac amyloidosis (CA) subtypes is important considering the significantly different therapies for transthyretin (ATTR)-CA and light chain (AL)-CA. Therefore, an echocardiographic method to distinguish ATTR-CA from AL-CA would provide significant value. We assessed a novel echocardiographic pixel intensity method to quantify myocardial calcification to differentiate ATTR-CA from phenocopies of CA and from AL-CA, specifically. METHODS AND RESULTS: 167 patients with ATTR-CA (n=53), AL-CA (n=32), hypertrophic cardiomyopathy (n=37), and advanced chronic kidney disease (n=45) were retrospectively evaluated. The septal reflectivity ratio (SRR) was measured as the average pixel intensity of the visible anterior septal wall divided by the average pixel intensity of the visible posterior lateral wall. SRR and other myocardial strain-based echocardiographic measures were evaluated with receiver operator characteristic analysis to evaluate accuracy in distinguishing ATTR-CA from AL-CA and other forms of left ventricular hypertrophy. Mean septal reflectivity ratio (SRR) was significantly higher in the ATTR-CA cohort compared to the other cohorts (p <0.001). SRR demonstrated the largest AUC (0.91, p<0.0001) for distinguishing ATTR from all other cohorts and specifically for distinguishing ATTR-CA from AL-CA (AUC=0.90, p<0.0001, specificity 96%, sensitivity 63%). There was excellent inter- and intra-operator reproducibility with an ICC of 0.91 (p <0.001) and 0.89 (p <0.001), respectively. CONCLUSION: The SRR is a reproducible and robust parameter for differentiating ATTR-CA from other phenocopies of CA and specifically ATTR-CA from AL-CA.

The value of ultrasound enhancing agents in the echocardiographic acquisition of pulmonary artery systolic pressure: An invasive to non-invasive correlation study.

PURPOSE: Right heart catheterization (RHC) is the gold standard for the assessment of pulmonary artery systolic pressures (PASP). Despite high utilization of echocardiography for the non-invasive assessment of PASP, the data comparing real-time non-invasive echocardiographic PASP with invasive PASP is limited. Furthermore, evidence regarding the utility and diagnostic accuracy of ultrasound enhancing agents (UEA) for non-invasive PASP assessment is lacking. To evaluate the accuracy of non-invasive PASP assessment with real-time invasive measures and the incremental benefit of UEA in this setting. METHODS: This was a prospective cohort study of 90 patients, undergoing clinically indicated RHC for hemodynamic assessment. All patients underwent a limited echocardiogram during RHC. Tricuspid regurgitant velocity (TRV) was measured on unenhanced echo, in the setting of centrally administrated agitated saline, then as either centrally administered or peripherally administered UEA. RESULTS: Of the 90 patients enrolled in our study, 41% had pulmonary hypertension. The overall mean PASP measured by RHC was 32.8 mmHg (+/- 11.3 mmHg). Unenhanced echocardiograms had a moderate correlation with invasive PASP (r = 0.57; p = < 0.001) which improved to a strong correlation with administration of agitated saline (r = 0.75; p = < 0.001) or centrally administered UEA (r = 0.77; p = < 0.001), with the best correlation noted with peripherally administered UEA (r = 0.83; p = < 0.001). Against invasive PASP, agitated saline enhanced PASP had the lowest bias (0.12mmHg; -15.6 to 15.8mmHg) when compared with all other non-invasive measures of PASP. CONCLUSIONS: Unenhanced echocardiographic estimation of TRV was found to have a poorer correlation with invasively measured PASP when compared to agitated saline and centrally administered UEA. Agitated saline enhanced PASP demonstrated the lowest bias with invasive PASP when compared to other non-invasive measures of PASP.

Primary Mitral Regurgitation and Heart Failure: Current Advances in Diagnosis and Management.

Primary mitral regurgitation is a frequent etiology of congestive heart failure and is best treated with intervention when patients are symptomatic or when additional risk factors exist. Surgical intervention improves outcomes in appropriately selected patients. However, for those at high surgical risk, transcatheter intervention provides less invasive repair and replacement options while providing comparable outcomes to surgery. The excess mortality and high prevalence of heart failure in untreated mitral regurgitation illuminate the need for further developments in mitral valve intervention ideally fulfilled by expanding these types of procedures and eligibility to these procedures beyond only those at high surgical risk.

Fully Automated Artificial Intelligence Assessment of Aortic Stenosis by Echocardiography.

BACKGROUND: Aortic stenosis (AS) is a common form of valvular heart disease, present in over 12% of the population age 75 years and above. Transthoracic echocardiography (TTE) is the first line of imaging in the adjudication of AS severity but is time-consuming and requires expert sonographic and interpretation capabilities to yield accurate results. Artificial intelligence (AI) technology has emerged as a useful tool to address these limitations but has not yet been applied in a fully hands-off manner to evaluate AS. Here, we correlate artificial neural network measurements of key hemodynamic AS parameters to experienced human reader assessment. METHODS: Two-dimensional and Doppler echocardiographic images from patients with normal aortic valves and all degrees of AS were analyzed by an artificial neural network (Us2.ai) with no human input to measure key variables in AS assessment. Trained echocardiographers blinded to AI data performed manual measurements of these variables, and correlation analyses were performed. RESULTS: Our cohort included 256 patients with an average age of 67.6 ± 9.5 years. Across all AS severities, AI closely matched human measurement of aortic valve peak velocity (r = 0.97, P < .001), mean pressure gradient (r = 0.94, P < .001), aortic valve area by continuity equation (r = 0.88, P < .001), stroke volume index (r = 0.79, P < .001), left ventricular outflow tract velocity-time integral (r = 0.89, P < .001), aortic valve velocity-time integral (r = 0.96, P < .001), and left ventricular outflow tract diameter (r = 0.76, P < .001). CONCLUSIONS: Artificial neural networks have the capacity to closely mimic human measurement of all relevant parameters in the adjudication of AS severity. Application of this AI technology may minimize interscan variability, improve interpretation and diagnosis of AS, and allow for precise and reproducible identification and management of patients with AS.

Application of a Novel Two-Dimensional Echocardiographic Calcium Quantification Method to Assess All Severities of Aortic Stenosis.

BACKGROUND: Aortic valve (AV) calcification (AVC) is a strong predictor of aortic stenosis (AS) severity. The two-dimensional AVC (2D-AVC) ratio, a gain-independent ratio composed of the average pixel density of the AV and the aortic annulus, has previously shown strong correlations with two-dimensional (2D) echocardiographic hemodynamic parameters for severe AS and AVC by cardiac computed tomography. We hypothesize that the 2D-AVC ratio correlates with hemodynamic parameters in all severities of AS. METHODS: A total of 285 patients with a normal AV (n = 49), aortic sclerosis (n = 75), or mild (n = 38), moderate (n = 72), or severe (n = 51) AS undergoing 2D echocardiography were retrospectively evaluated, and the 2D-AVC ratios were correlated to mean AV gradient, peak AV velocity, AV area, and dimensionless index. The 2D-AVC ratios of various AS severities were compared against each other via area under the curve (AUC) analysis. RESULTS: The 2D-AVC ratio is strongly correlated with mean AV gradient (r = 0.79, P < .0001) and peak AV velocity (r = 0.78, P < .0001). There was moderate correlation with the AV area (r = -0.58, P < .0001) and dimensionless index (r = -0.67, P < .0001) across all AS severities. The 2D-AVC ratio also distinguished nonmoderate AS (mild AS + normal AV) from moderate or greater (moderate + severe) AS (AUC = 0.93) and moderate versus severe AS (AUC = 0.88). CONCLUSION: The 2D-AVC ratio exhibits moderate to strong correlation with 2D echocardiographic hemodynamic parameters across all severities of AS.

Impact of Transcatheter Aortic Valve Implantation Among Patients With Co-existing Mild to Moderate Mitral Regurgitation.

A subset of patients with severe aortic stenosis (AS) who are who underwent transcatheter aortic valve implantation (TAVI) also has mitral regurgitation (MR). Clinical outcomes in these patients with combined MR and AS have varied. The purpose of this study was to assess clinical outcomes and echocardiographic outcomes after TAVI in patients with preprocedural MR. A retrospective chart review from March 2018 to June 2020 identified all TAVI patients. Patients were assigned an MR class of mild, moderate, or severe based upon pre-TAVI transthoracic echocardiogram (TTE). Patients were excluded if they were discharged from the hospital and did not have a 6-month follow-up after TAVI. Clinical outcomes at 6 months included all-cause mortality, major adverse cardiovascular events, clinically significant bleeding, changes in ejection fraction (EF) category, and changes in MR severity. Of 118 included patients (age 76 ± 10 years, 79% male, 46% White), 33% had MR, with 26% being mild and 7% moderate MR. Before TAVI, AS + MR patients were more likely to have a reduced EF (<50%) by category compared with those with AS only (33.3% vs 8.8%, p = 0.01) but were more likely to show an increase in EF by category after TAVI (19.4% vs 5.5%, p = 0.039). No significant differences were observed between the 2 groups in terms of all-cause mortality (12.8 vs 5.1%, p = 0.14), major adverse cardiovascular events (17.9 vs 8.9%, p = 0.15), or clinically significant bleeding (10.3 vs 6.3%, p = 0.45). Patients with AS and co-existing MR experienced similar clinical outcomes at 6 months to those with AS only after TAVI. They were more likely to show increases in EF category 6 months after valve implantation. Our results support the conclusion that in addition to treating the aortic valve, TAVI also potentially benefits left ventricular function in the setting of mild or moderate MR.

A quantitative gain-independent assessment of the left atrial appendage as a method of thromboembolic risk stratification.

BACKGROUND: Visual assessment of the left atrial appendage (LAA) by echocardiography for the presence of thrombus is inherently qualitative. However, whether quantitative assessments can provide increased value over qualitative assessment has not been thoroughly examined. METHODS: One hundred and thirty-eight patients (mean age 59 ± 13 years, 70% male) undergoing transesophageal echocardiography prior to pulmonary vein isolation or electrical cardioversion were retrospectively studied. LAA were examined by two expert readers and identified as thrombus, sludge, spontaneous echocardiograph contrast, or normal. LAA were then separately examined to calculate a gain-independent ratio between the average pixel density of the LAA cavity and that of the LAA wall (C/W ratio). RESULTS: C/W ratio was significantly related with qualitative LAA analysis (p < 0.0001) and with thromboembolic events (OR 1.60, 95% CI 1.095-2.347, p = 0.02). The C/W ratio (AUC 0.73, 95% CI 0.60-0.86) was a reliable predictor for future thromboembolic events when compared to expert reader LAA assessment (Expert Reader 1 AUC = 0.72, 95% CI 0.53-0.90; Expert Reader 2 AUC = 0.69). CONCLUSIONS: The C/W ratio may be a complementary method to adjudicate thromboembolic risk in patients with AF that is readily quantifiable at time of TEE.

A Novel Two-Dimensional Echocardiography Method to Objectively Quantify Aortic Valve Calcium and Predict Aortic Stenosis Severity.

Aortic valve calcium (AVC) is a strong predictor of aortic stenosis (AS) severity and is typically calculated by multidetector computed tomography (MDCT). We propose a novel method using pixel density quantification software to objectively quantify AVC by two-dimensional (2D) transthoracic echocardiography (TTE) and distinguish severe from non-severe AS. A total of 90 patients (mean age 76 ± 10 years, 75% male, mean AV gradient 32 ± 11 mmHg, peak AV velocity 3.6 ± 0.6 m/s, AV area (AVA) 1.0 ± 0.3 cm2, dimensionless index (DI) 0.27 ± 0.08) with suspected severe aortic stenosis undergoing 2D echocardiography were retrospectively evaluated. Parasternal short axis aortic valve views were used to calculate a gain-independent ratio between the average pixel density of the entire aortic valve in short axis at end diastole and the average pixel density of the aortic annulus in short axis (2D-AVC ratio). The 2D-AVC ratio was compared to echocardiographic hemodynamic parameters associated with AS, MDCT AVC quantification, and expert reader interpretation of AS severity based on echocardiographic AVC interpretation. The 2D-AVC ratio exhibited strong correlations with mean AV gradient (r = 0.72, p < 0.001), peak AV velocity (r = 0.74, p < 0.001), AVC quantified by MDCT (r = 0.71, p <0.001) and excellent accuracy in distinguishing severe from non-severe AS (area under the curve = 0.93). Conversely, expert reader interpretation of AS severity based on echocardiographic AVC was not significantly related to AV mean gradient (t = 0.23, p = 0.64), AVA (t = 2.94, p = 0.11), peak velocity (t = 0.59, p = 0.46), or DI (t = 0.02, p = 0.89). In conclusion, these data suggest that the 2D-AVC ratio may be a complementary method for AS severity adjudication that is readily quantifiable at time of TTE.

Improvements in global longitudinal strain after transcatheter aortic valve replacement according to race.

OBJECTIVE: In the United States, racial minorities are underrepresented among patients receiving transcatheter aortic valve replacement (TAVR) and data regarding their outcomes is limited. Global longitudinal strain (GLS) is a measure left ventricular function and has independently predicted outcomes after TAVR. The aim of this study is to assess changes in GLS after TAVR according to race and factors predicting these changes. METHODS: Electronic medical records of patients undergoing TAVR at the University of Illinois, Chicago and Jesse Brown Veteran's Administration Medical Center (Chicago, Illinois) from January 2017-February 2020 were reviewed retrospectively. The most recent transthoracic echocardiogram (TTE) prior to TAVR and the TTE 1-month post-procedure were used to determine GLS. Patients were included if both a pre- and post-procedure study were present and TTE images were of sufficient quality to process strain imaging. RESULTS: A total of 103 patients (average age 76 ± 12 years, 80% male, 42% white) were included. At 1-month post-TAVR, GLS improved for all races: white (-2.7 ± 3.5%, P<0.001), African-American (-2.8 ± 3.3%, P<0.001), and Hispanic (-2.0 ± 2.1%, P<0.001). There were no differences in the degree of improvement among races (P=0.62). Baseline GLS was negatively correlated with changes in GLS overall (r=-0.44, P<0.001). Baseline aortic valve area (cm2) was positively correlated with changes in GLS (r=0.2, P=0.036). CONCLUSIONS: This study demonstrated that GLS improved after TAVR independent of race with similar degrees of change across races. Baseline GLS and aortic valve area predicted strain improvement after TAVR, which suggests that those with more impaired LV function may benefit most from the procedure.

A case-based approach to integrative medicine for cardiovascular disease prevention.

Cardiovascular disease is commonly encountered in the adult population and has large impacts on morbidity and mortality. The ever-expanding evidence base for the use of integrative medicine in cardiology necessitates providers caring for patients with cardiovascular disease to be familiar with these therapies. However, providers may find it difficult to adequately discuss these therapies in an average office visit. Through a case-based, question-and-answer approach, the authors review some clinically relevant and helpful research that addresses the incorporation of integrative medicine in cardiovascular disease prevention.

Diagnostic Accuracy of Echocardiography and Intraoperative Surgical Inspection of the Unicuspid Aortic Valve.

Unicuspid aortic valve (UAV) is a rare malformation that is often difficult to distinguish from a bicuspid aortic valve (BAV) with commissural fusion by echocardiography or intraoperative surgical inspection. This study assessed the accuracy of intraoperative surgical inspection and two-dimensional echocardiography in diagnosing UAV compared to a gold standard of pathological diagnosis. The Mayo Clinic echocardiographic database, tissue registry database and electronic medical record were searched for all patients assigned a diagnosis of UAV by any technique. Transthoracic (TTE), transesophageal (TEE) echocardiographic, and surgical diagnoses were compared to pathological diagnosis as the standard. A clinical diagnosis of UAV was applied to 380 patients by 1 or more method and in 196 (52%) a pathologic evaluation was available to compare to the clinical description given by TTE, TEE, or surgical inspection. Of these 196 patients, only 58 (30%) had a pathological diagnosis of UAV; the majority were found to be BAVs by pathologic evaluation (n = 132, 67%). For diagnosing UAV, the sensitivity and specificity were 15% and 87% for TTE, 28%, and 82% for TEE, and 52% and 51% for surgical inspection, respectively. Valves with bicuspid morphology and extensive commissural fusion were frequently misclassified as UAV by all methods. In conclusion, intraoperative surgical inspection and echocardiography have limitations for diagnosing UAV due to difficulties in accurately assigning a correct morphological diagnosis, which suggests that the current understanding of the natural history of UAV may be inaccurate.

Preprocedural Utility of the Echocardiographic Retroaortic Anomalous Coronary Sign.

Imaging series highlighting echocardiographic findings associated with the retroaortic anomalous coronary sign and its utility as a non-invasive modality to recognize technically complex and high-risk retroaortic coronary anomalies prior to intervention.

Three Cases of Rare Retroaortic Coronary Anomalies Diagnosed With Angiography and Cardiac CTA.

Coronary artery anomalies are relatively rare (approximately 1% on CTA). We present two exceedingly rare cases, as well as the first reported case of anomalous retro-aortic coronary arteries diagnosed with cardiac CTA and angiography.