Farina, Juan M.

Background: A key determinant of prognosis in pulmonary hypertension (PH) is the right ventricle’s (RV) ability to adapt to increased pulmonary vascular resistance. Consequently, markers of RV-pulmonary artery (PA) coupling may improve prognostic prediction in PH. The ratio of tricuspid annular plane systolic excursion (TAPSE) to systolic PA pressure (sPAP) has been proposed as a surrogate for RV-PA coupling and a reliable prognostic marker, however, the existing data on the prognostic value of the ratio between RV longitudinal strain (RVLS) and sPAP as a surrogate for RV-PA coupling is scarce. Hypothesis: To evaluate the prognostic role of RVLS/RVSP in PH patients and to compare this novel marker with established markers of RV-PA coupling. Methods: This is a single-center study that included adult patients with PH classified as group I or IV, all of whom had undergone a transthoracic echocardiogram (TTE) within one year prior to the initiation of PH-specific treatment. Certified sonographers procured RV strain measurements using a specific software (Epsilon Imaging, Ann Arbor, MI). Receiver operating characteristic (ROC) analysis was used to determine the best cutoff for predicting all-cause mortality at one-year for RVLS/RVSP and TAPSE/RVSP. The association of RVLS/RVSP and TAPSE/RVSP with mortality at one year was assessed using the Kaplan-Meier analysis and multivariate Cox regression analysis (adjusted for REVEAL LITE 2.0 risk score). Results: A total of 160 patients were included with a median age of 67.2 (56.8, 73.7) years and 47 (29.2%) were male . ROC analysis revealed optimal cutoffs of 0.265 (AUC = 0.83) for RVLS/RVSP and 0.185 (AUC = 0.77) for TAPSE/RVSP to predict all-cause mortality at one year. One-year cumulative incidence of all-cause mortality was lower among patients with RVLS/RVSP ≥ 0.265 (0 % vs 13.7 %, p = 0.001) and patients with TAPSE/RVSP ≥ 0.185 (1.8 % vs 16.7 %, p = 0.001) (Figure 1) . In the multivariate analysis, RVLS/RVSP < 0.265 was associated with higher risk of mortality at one year (HR: 2.38, 95 % CI: 1.05 to 5.38, p = 0.036) while TAPSE/RVSP < 0.185 was not (HR: 2.01, 95 % CI: 0.93 to 4.31, p = 0.072). Conclusions: RVLS/ RVSP may be a valuable prognostic marker in PH patients and could outperform conventional TTE parameters as a surrogate for detecting RV-PA coupling.

Intracardiac metastases from gastroenteropancreatic neuroendocrine tumors (NETs) are rare and challenging to diagnose. Lutetium (Lu)-177 DOTATATE therapy has demonstrated significant benefit in patients with metastatic NET; however, there are limited data regarding the direct impact on cardiac metastases. Patients with intracardiac metastasis from NET were evaluated. Patients were stratified by treatment with Lu-177 DOTATATE. Quantitative assessments of the progression of cardiac metastatic size (maximal diameter) and metabolic activity, as measured by maximal standardized uptake value (SUV max ), were performed on serial 68 Ga-DOTATATE PET imaging. In a cohort of 23 patients, 11 patients (47.8%) received Lu-177 DOTATATE therapy. Through a median of 2.2 years of follow-up, these patients showed some reduction in metastatic burden with a median reduction in maximal diameter of 1.0 mm (IQR: 0.0–3.0) and a median change in SUV max of −1.6 (IQR: −4.4 to 1.5). In contrast, patients who did not receive Lu-177 DOTATATE had some increase in maximal diameter of 0.5 mm (−2.0 to 2.0) and an increase in SUV max of 1.4 (−6.2 to 2.3). Overall, Lu-177 DOTATATE therapy may result in modest regression of intracardiac metastases as assessed by molecular imaging, whereas patients with cardiac metastases who did not receive therapy appeared to show progression.

Abstract Aims Left ventricular assist devices (LVADs) are a critical intervention for advanced heart failure (HF), serving as destination therapy or bridge to transplantation. Obesity and diabetes impact outcomes in patients with LVADs. Glucagon-like peptide-1 receptor agonists (GLP1-RAs) demonstrate cardiovascular benefits; however, their role in patients with LVADs remains underexplored. We evaluated the association of GLP1-RA therapy with cardiovascular outcomes in patients with LVADs. Methods This retrospective cohort study used the TriNetX database, a research network database from 98 healthcare organizations. We queried for all adult LVAD recipients (≥18 years) and were stratified into GLP1-RA users and non-users. Propensity score matching (PSM) (1:1) balanced demographics, comorbidities, medication use and laboratory data. Outcomes included heart transplantation rates, heart failure hospitalizations, all-cause mortality, all-cause hospitalizations and cardiovascular events. Logistic regression models were used to estimate adjusted odds ratios (aOR). Results After PSM, we included a total of 1036 adult LVAD recipients (518 GLP1-RA users, 518 matched non-users) with a mean follow-up time of 311.6 ± 98.4 days for the GLP1-RA cohort and 304.0 ± 111.5 days for the non-GLP1-RAs cohort. Mean age was 56.7 ± 12.2 years in the GLP1-RA cohort and 58.0 ± 12.5 years in the non-GLP1-RA cohort. Females comprised 28.0% of both cohorts while White patients represented 52.1% of the GLP1-RA group and 53.1% of the non-GLP1-RA group. GLP1-RA users had higher heart transplantation rates [n = 98 (18.9%) vs. n = 44 (8.5%); aOR 2.514 (95% CI: 1.720–3.673)]. Acute HF events and all-cause hospitalizations were lower among GLP1-RA users compared with non-users [n = 288 (55.6%) vs. n = 357 (68.9%); aOR 0.565 (95% CI: 0.438–728) and n = 324 (62.5%) vs. n = 390 (75.3%); aOR 0.548 (95% CI: 0.420–0.716)]. No differences were observed when comparing the GLP1-RA cohort with the non-GLP1-RA cohort in regard to all-cause mortality [n = 32 (6.2%) vs. n = 44 (8.5%); aOR 0.709 (95% CI: 0.442–1.138)], stroke [n = 42 (8.1%) vs. n = 58 (11.2%); aOR 0.700 (95% CI: 0.461–1.062)] or cardiac arrest [n = 18 (3.5%) vs. n = 17 (3.3%); aOR 1.061 (95% CI: 0.541–2.082)]. Conclusions GLP1-RA therapy in patients with advanced HF and LVADs is potentially associated with improved heart transplantation rates while decreasing hospitalization and acute HF event rates.

Introduction: Mitral valve transcatheter edge-to-edge repair (M-TEER) has emerged as a minimally invasive option for high-risk surgical candidates with severe and symptomatic mitral regurgitation (MR), but post-procedure residual mitral valve (MV) dysfunction remains a significant concern. This study evaluates the clinical utility of combining artificial intelligence applied to electrocardiograms (ECG-AI) for diastolic dysfunction (DD) grading and the echocardiography-derived velocity time integral of the MV and left ventricular outflow tract ratio (VTIMV/LVOT) in predicting prognosis in patients post-M-TEER. Methods: A retrospective analysis of patients who underwent M-TEER between 2014 and 2021 was conducted. Patients were categorized based on VTIMV/LVOT and ECG-AI scores into three groups: both normal parameters, either abnormal parameter, or both abnormal parameters to compare outcomes (mortality, major adverse cardiovascular events [MACE], and the need for subsequent MV reintervention) using Kaplan–Meier analysis, multivariable Cox regression models, and net reclassification improvement. Results: Overall, 250 patients were included; the median age was 79.5 (IQR: 73.1, 84.6) and 66.4% were male. The combined abnormal VTIMV/LVOT (≥2.5) and ECG-AI score for DD (>1) was associated with higher risk of one-year mortality (adjusted HR: 4.56 [1.04–19.89], p = 0.044) and MACE (adjusted HR: 3.72 [1.09–12.72], p = 0.037) compared to patients with both normal parameters. Conclusions: This study highlights the potential additive value of integrating VTIMV/LVOT and ECG-AI scores as a prognostic tool for a personalized approach to the post-operative evaluation and risk stratification in M-TEER patients.

Advances in plaque imaging have transformed cardiovascular diagnostics through detailed characterization of atherosclerotic plaques beyond traditional stenosis assessment. This review outlines the clinical applications of varying modalities, including dual-layer spectral CT, photon-counting CT, dual-energy CT, and CT-derived fractional flow reserve (CT-FFR). These technologies offer improved spatial resolution, tissue differentiation, and functional assessment of coronary lesions. Additionally, artificial intelligence has emerged as a powerful tool to automate plaque detection, quantify burden, and refine risk prediction. Collectively, these innovations provide a more comprehensive approach to coronary artery disease evaluation and support personalized management strategies.