Three-Dimensional Automated, Machine-Learning-Based Left Heart Chamber Metrics: Associations with Prevalent Vascular Risk Factors and Cardiovascular Diseases.

Background. Three-dimensional transthoracic echocardiography (3DE) powered by artificial intelligence provides accurate left chamber quantification in good accordance with cardiac magnetic resonance and has the potential to revolutionize our clinical practice. Aims. To evaluate the association and the independent value of dynamic heart model (DHM)-derived left atrial (LA) and left ventricular (LV) metrics with prevalent vascular risk factors (VRFs) and cardiovascular diseases (CVDs) in a large, unselected population. Materials and Methods. We estimated the association of DHM metrics with VRFs (hypertension, diabetes) and CVDs (atrial fibrillation, stroke, ischemic heart disease, cardiomyopathies, >moderate valvular heart disease/prosthesis), stratified by prevalent disease status: participants without VRFs or CVDs (healthy), with at least one VRFs but without CVDs, and with at least one CVDs. Results. We retrospectively included 1069 subjects (median age 62 [IQR 49−74]; 50.6% women). When comparing VRFs with the healthy, significant difference in maximum and minimum indexed atrial volume (LAVi max and LAVi min), left atrial ejection fraction (LAEF), left ventricular mass/left ventricular end-diastolic volume ratio, and left ventricular global function index (LVGFI) were recorded (p < 0.05). In the adjusted logistic regression, LAVi min, LAEF, LV ejection fraction, and LVGFI showed the most robust association (OR 3.03 [95% CI 2.48−3.70], 0.45 [95% CI 0.39−0.51], 0.28 [95% CI 0.22−0.35], and 0.22 [95% CI 0.16−0.28], respectively, with CVDs. Conclusions. The present data suggested that novel 3DE left heart chamber metrics by DHM such as LAEF, LAVi min, and LVGFI can refine our echocardiographic disease discrimination capacity.

Ventricular and Atrial Remodeling after Transcatheter Edge-to-Edge Repair: A Pilot Study.

BACKGROUND: The aim of this study was to determine the impact of transcatheter edge-to-edge repair (TEER) on left and right ventricular (LV, RV) and left and right atrial (LA, RA) remodeling according to the mechanism of mitral regurgitation (MR) and history of atrial fibrillation (AF). METHODS: Twenty-four patients (mean age 78.54 years ± 7.64 SD; 62.5% males) underwent TEER at our center. All the patients underwent echocardiography 1.6 ± 0.9 months before the procedure and after 5.7 ± 3.5 months; functional MR accounted for 54% of cases. RESULTS: Compared to baseline, a statistically significant improvement in LV end-diastolic diameter (LVEDD), LV indexed mass (ILVM), LV end-diastolic and end-systolic volumes (LVEDV, LVESV), indexed LA volume (iLAV), and morpho-functional RV parameters was recorded. LVEDD and LVEDV improved in primary MR cohort, whereas in secondary MR, a significant reduction in LVEDV and LVESV was found without a significant functional improvement. LA reverse remodeling was found in organic MR with a trend toward ameliorated function. Furthermore, a significant reduction of LA volumetry was detected only in patients without history of AF (AF baseline 51.4 mL/m2 IQR 45.6-62.5 mL/m2 f-u 48.9 mL/m2 IQR 42.9-59.2 mL/m2; p = 0.101; no AF baseline 43.5 mL/m2 IQR 34.2-60.5 mL/m2 f-u 42.0 mL/m2 IQR 32.0-46.2 mL/m2; p = 0.012). As regards right sections, the most relevant reverse remodeling was obtained in patients with functional MR with a baseline poorer RV function and more severe RA and RV dilation. CONCLUSION: TEER induces reverse remodeling involving both left and right chambers at mid-term follow-up. To deliver a tailored intervention, MR mechanism and history of AF should be considered in view of the impact on remodeling process.

Digital literacy as a potential barrier to implementation of cardiology tele-visits after COVID-19 pandemic: the INFO-COVID survey.

BACKGROUND: During the COVID-19 pandemic, the implementation of telemedicine has represented a new potential option for outpatient care. The aim of our study was to evaluate digital literacy among cardiology outpatients. METHODS: From March to June 2020, a survey on telehealth among cardiology outpatients was performed. Digital literacy was investigated through six main domains: age; sex; educational level; internet access; availability of internet sources; knowledge and use of teleconference software programs. RESULTS: The study included 1067 patients, median age 70 years, 41.3% females. The majority of the patients (58.0%) had a secondary school degree, but among patients aged ≥ 75 years old the most represented educational level was primary school or none. Overall, for internet access, there was a splitting between "never" (42.1%) and "every day" (41.0%), while only 2.7% answered "at least 1/month" and 14.2% "at least 1/week". In the total population, the most used devices for internet access were smartphones (59.0%), and WhatsApp represented the most used app (57.3%). Internet users were younger compared to non-internet users (63 vs. 78 years old, respectively) and with a higher educational level. Age and educational level were associated with non-use of internet (age-per 10-year increase odds ratio (OR) = 3.07, 95% CI: 2.54-3.71, secondary school OR = 0.18, 95% CI: 0.12-0.26, university OR = 0.05, 95% CI: 0.02-0.10). CONCLUSIONS: Telemedicine represents an appealing option to implement medical practice, and for its development it is important to address the gaps in patients' digital skills, with age and educational level being key factors in this setting.

MicroRNAs distribution in different phenotypes of Aortic Stenosis.

Aortic valve stenosis (AVS) represents a cluster of different phenotypes, considering gradient and flow pattern. Circulating micro RNAs may reflect specific pathophysiological processes and could be useful biomarkers to identify disease. We assessed 80 patients (81, 76.7-84 years; 46, 57.5%females) with severe AVS. We performed bio-humoral evaluation (including circulating miRNA-1, 21, 29, 133) and 2D-echocardiography. Patients were classified according to ACC/AHA groups (D1-D3) and flow-gradient classification, considering normal/low flow, (NF/LF) and normal/high gradient, (NG/HG). Patients with reduced ejection fractionwere characterized by higher levels of miRNA1 (p = 0.003) and miRNA 133 (p = 0.03). LF condition was associated with higher levels of miRNA1 (p = 0.02) and miRNA21 (p = 0.02). Levels of miRNA21 were increased in patients with reduced Global longitudinal strain (p = 0.03). LF-HG and LF-LG showed higher levels of miRNA1 expression (p = 0.005). At one-year follow-up miRNA21 and miRNA29 levels resulted significant independent predictors of reverse remodeling and systolic function increase, respectively. Different phenotypes of AVS may express differential levels and types of miRNAs, which may retain a pathophysiological role in pro-hypertrophic and pro-fibrotic processes.