Alkhouli, Mohamad

Background Transcatheter edge‐to‐edge repair (TEER) and replacement (TTVR) have emerged as new modalities to treat patients with symptomatic significant tricuspid regurgitation. This study aimed to compare invasive hemodynamic and right ventricular (RV) changes and symptom improvement over 1 year. Methods Patients who underwent TEER/TTVR at Mayo Clinic (Rochester, MN, 2017–2024) were included. Hemodynamic profiles were described before and immediately after intervention, in addition to RV enlargement/dysfunction ≥moderate at 30 days and change in symptoms over time. Results Of 100 patients included (50 per group, median age 81 versus 80 years and female 62% versus 42%, in TTVR and TEER, respectively), all had ≥ moderate–severe symptomatic tricuspid regurgitation. Post intervention, mean right atrial pressure decreased in TEER (16 to 14 mm Hg, P <0.001), V wave decreased in both groups (to 16 mm Hg, P <0.001). RV enlargement was less prevalent in both cohorts at 30 days (60%–40% in TEER, P =0.01, and 72 to 58% in TTVR, P =0.07), yet prevalence of RV dysfunction decreased only in TEER (26 to 15%, P =0.17) as opposed to TTVR (31 to 44%, P =0.13). TTVR resulted in a higher stroke volume index and more complete tricuspid regurgitation elimination at 30 days. Both groups resulted in similar improvements in New York Heart Association class, with overall similar survival. Conclusions TEER was associated with a greater reduction in right atrial pressure and more favorable RV remodeling at 30 days, as opposed to TTVR, which achieved more complete and sustained elimination of tricuspid regurgitation with higher forward stroke volume.

Objective Data on cardiac index (CI) in patients undergoing coronary angiography (CAG) can enhance decision-making and improve clinical outcomes. However, this necessitates an additional invasive procedure, and therefore, it is frequently omitted. This study explores the novel application of convolutional neural networks (CNNs) to predict CI from routine CAGs. Methods and analysis Patients who underwent CAG and simultaneous right heart catheterisation at Mayo Clinic between 2002 and 2023 were included. A three-dimensional (3D)-CNN model (X3D architecture) was developed to predict binary CI categories (normal: CI≥2.2 vs abnormal: CI<2.2 L/min/m²) from CAG videos. CAGs were randomly split into training (70%), validation (15%) and test (15%) sets. All available videos from each study were entered into the model. The model’s performance was evaluated using the area under the curve (AUC), sensitivity, specificity and F1 score. Results A total of 15 297 CAG studies were considered. After applying a quality-check algorithm to exclude low-quality or irrelevant CAGs, 11 475 studies from 9103 patients were included. CI was abnormal in 25.2% of studies. The model achieved an AUC of 0.83 (95% CI 0.81 to 0.85), sensitivity of 0.72 (95% CI 0.68 to 0.77), specificity of 0.78 (95% CI 0.75 to 0.80) and F1 score of 0.62 (95% CI 0.58 to 0.65) on the test dataset. Limiting the input to 4, 3 or 2 prespecified CAG videos representing standard views did not significantly affect the model’s performance, supporting its applicability in varied clinical workflows. Conclusions This study demonstrates the feasibility of leveraging deep learning models to predict CI from CAG videos. The proposed 3D-CNN model shows promise as a tool for providing physicians with real-time data to aid decision-making during CAG procedures.

Abstract Background Women with severe aortic stenosis (AS) are diagnosed later and experience poorer outcomes than men, partly because clinical approaches rely on 2D, valve-centric thresholds derived from male-predominant cohorts that underutilize information from 3D left ventricular (LV) geometry. We hypothesize that a sex-specific computational framework integrating statistical shape analysis (SSA) of pre-TAVR CT with machine learning would improve prediction of 1-year LV mass regression (LVMR). Objective To develop a computational framework leveraging 3D LV geometry and evaluate whether it improves sex-specific prediction of 1-year LVMR after TAVR. Methods We studied 339 patients with severe AS who underwent TAVR from 2013 to 2020 and had pre-TAVR CT and 1-year post-TAVR echocardiography. LV geometries were segmented into digital twins, and shape modes predictive of LVMR were extracted using SSA and partial least squares. These modes were incorporated into support vector regression models and compared with conventional echocardiographic predictors, including pre-TAVR LVEF, LVMI, and E/A ratio. Performance was assessed using RMSE and R 2 . Results After one year, 65% of patients showed positive LVMR, with median regression of approximately 10%; regression was significant overall and within each sex ( p < 0.001) and similar between sexes ( p = 0.99). Predictive shape modes differed by sex ( p < 0.01), with women showing more localized variation and men broader geometric gradients. Sex-specific shape modes outperformed general modes and clinical metrics, particularly in women (R 2 = 0.80, RMSE = 0.09 vs. R 2 = 0.59, RMSE = 0.13; clinical-only baseline R 2 = 0.16, RMSE = 0.22). In men, sex-specific modes also performed strongly (R 2 = 0.89, RMSE = 0.08). Conclusion In severe AS, 3D LV geometry predicts post-TAVR reverse remodeling more accurately than conventional metrics and may improve risk stratification, particularly in women.

Background Recent technologies enable real‐time 3‐dimensional intracardiac echocardiography (ICE) with the advantages of 2‐dimensional ICE and imaging capabilities of transesophageal echocardiography. The purpose of this study is to evaluate the real‐world, multicenter safety and performance of a novel 3‐dimensional ICE system in a variety of cardiac interventions used in standard clinical practice. Methods This prospective, multicenter, observational, single‐arm study enrolled patients who were scheduled for an invasive cardiac procedure involving guidance with ICE and followed until discharge or ≤48 hours postprocedure. Intracardiac imaging was performed with the 3‐dimensional ICE catheter, VeriSight Pro (Philips Inc.). Fluoroscopy was used in all cases and transesophageal echocardiography was used in some cases. The primary safety end point was device‐related adverse events. The primary efficacy end point included technical success, imaging success, and clinical success. Results Between October 2021 and November 2022, 155 patients were enrolled and screened. Percutaneous interventions performed included atrial septal defect/patent foramen ovale closures, left atrial appendage occlusion, catheter ablations, and valve procedures. No adverse events were related to the device or procedure. The technical, imaging, and clinical success rates were 98.7% (95% CI, 95.4%–99.8%), 96.1% (95% CI, 91.8%–98.6%), 94.8% (95% CI, 91.8%–98.6%), respectively. Overall, the VeriSight Pro ICE image quality was assessed to be “acceptable” or greater in relation to reference image modality among 96.2% (149 of 155) of procedures. Conclusions VeriSight ICE imaging is safe and effective in the guidance of a wide variety of percutaneous cardiovascular procedures and has provided successful and high‐quality imaging of cardiac structures.

BACKGROUND: While clinical practice guidelines advocate for multidisciplinary heart team (MDHT) discussions in coronary revascularization, variability in implementation across health care settings remains a challenge. This variability could potentially be addressed by language learning models like ChatGPT, offering decision-making support in diverse health care environments. Our study aims to critically evaluate the concordance between recommendations made by MDHT and those generated by language learning models in coronary revascularization decision-making. METHODS: From March 2023 to July 2023, consecutive coronary angiography cases (n=86) that were referred for revascularization (either percutaneous or surgical) were analyzed using both ChatGPT-3.5 and ChatGPT-4. Case presentation formats included demographics, medical background, detailed description of angiographic findings, and SYNTAX score (Synergy Between Percutaneous Coronary Intervention With Taxus and Cardiac Surgery; I and II), which were presented in 3 different formats. The recommendations of the models were compared with those of an MDHT. RESULTS: ChatGPT-4 showed high concordance with decisions made by the MDHT (accuracy 0.82, sensitivity 0.8, specificity 0.83, and kappa 0.59), while ChatGPT-3.5 (0.67, 0.27, 0.84, and 0.12, respectively) showed lower concordance. Entropy and Fleiss kappa of ChatGPT-4 were 0.09 and 0.9, respectively, indicating high reliability and repeatability. The best correlation between ChatGPT-4 and MDHT was achieved when clinical cases were presented in a detailed context. Specific subgroups of patients yielded high accuracy (>0.9) of ChatGPT-4, including those with left main disease, 3 vessel disease, and diabetic patients. CONCLUSIONS: The present study demonstrates that advanced language learning models like ChatGPT-4 may be able to predict clinical recommendations for coronary artery disease revascularization with reasonable accuracy, especially in specific patient groups, underscoring their potential role as a supportive tool in clinical decision-making.

Background Older adults with non–ST‐segment–elevation acute coronary syndrome are less likely to undergo an invasive strategy compared with younger patients. Randomized controlled trials traditionally exclude older adults because of their high burden of geriatric conditions. Methods and Results We searched for randomized controlled trials comparing invasive versus medical management or a selective invasive (conservative) strategy for older patients (age≥75 years) with non–ST‐segment–elevation acute coronary syndrome. Fixed effects meta‐analysis was conducted to estimate the odds ratio (OR) with 95% CI for the composite of death or myocardial infarction (MI) and individual secondary end points of all‐cause death, cardiovascular death, MI, revascularization, stroke, and major bleeding. Nine studies with 2429 patients (invasive: 1228 versus control: 1201) with a mean follow‐up of 21 months were included. An invasive strategy was associated with a significantly decreased risk of a composite of death and MI (OR, 0.67 [95% CI, 0.54–0.83], P <0.001), MI (OR, 0.56 [95% CI, 0.45–0.70], P <0.001) and subsequent revascularization (OR, 0.27 [95% CI, 0.16–0.48], P <0.001). There was no difference in all‐cause death (OR, 0.84 [95% CI, 0.65–1.10], P =0.21), cardiovascular death (OR, 0.85 [95% CI, 0.63–1.15], P =0.30), stroke (OR, 0.74 [95% CI, 0.38–1.47], P =0.39), or major bleeding (OR, 1.24 [95% CI, 0.42–3.66], P =0.70). Conclusions In older patients ≥75 years old with non–ST‐segment–elevation acute coronary syndrome, an invasive strategy reduced the risk of a composite of death and MI, MI, and subsequent revascularization compared with a conservative strategy alone. Older adults with higher burden of geriatric conditions should be included in future trials to improve generalizability to this growing population.

Background Optimal duration and choice of antiplatelet therapy in patients with acute coronary syndrome undergoing percutaneous coronary intervention remain controversial. Methods and Results Digital databases (PubMed, Cochrane, and Embase) were queried to select all randomized controlled trials on a post–percutaneous coronary intervention population with acute coronary syndrome. Dual‐antiplatelet therapy (DAPT) with aspirin and clopidogrel for 12 months was compared with 4 major strategies: high‐potency, high‐ to low‐potency, low‐dose, and short‐duration DAPT. A network meta‐analysis was performed to compare the safety and efficacy of different antiplatelet strategies. This study was the second updated manuscript under the International Prospective Register of Systematic Review registration (CRD42021286552). Thirty‐two randomized controlled trials comprising 103 459 (51 750 experimental, 51 709 control) patients were included. Compared with DAPT with aspirin and clopidogrel for 12 months, high‐ to low‐potency DAPT (risk ratio [RR], 0.69 [95% CI, 0.52–0.92]) and aspirin+prasugrel containing DAPT for 12 months (RR, 0.84 [95% CI, 0.72–0.98]) had a significantly lower, whereas DAPT for 1 month followed by clopidogrel only (RR, 1.59 [95% CI, 1.06–2.39]) had a higher, incidence of major adverse cardiovascular events at 1 year (median follow‐up). Prasugrel (RR, 1.35 [95% CI, 1.09–1.66]) and ticagrelor (RR, 1.38 [95% CI, 1.17–1.62]) containing DAPT for 12 months had significantly higher rates, whereas high‐ to low‐potency DAPT (RR, 0.85 [95% CI, 0.63–1.15]) had no significant risk of major bleeding. Conclusions Aspirin and ticagrelor for 3 months, followed by aspirin and clopidogrel for the remaining duration, can be considered the optimal strategy for treating post–percutaneous coronary intervention patients with acute coronary syndrome because of a significantly reduced risk of major adverse cardiovascular events without increasing the risk of bleeding.

Abstract Aims To assess the reproducibility of interpreting hypoattenuated thickening (HAT) and peridevice leak (PDL) using cardiac computed tomography (CT) imaging following Watchman FLX left atrial appendage closure (LAAC). Methods and results In this multicentre retrospective reproducibility study, 100 anonymized post-LAAC cardiac CT scans were evaluated within the same cardiac phase by an experienced and a novice rater blinded to prior evaluations. All scans were evaluated twice by each rater, assessing overall HAT and PDL categories as well as specific associated findings based on suggested algorithms for post-LAAC interpretation. Inter- and intra-rater agreement and reliability were evaluated using absolute agreement, Cohen’s kappa, and Kendall’s tau for categorical variables, and mean difference, Bland–Altman plots, limits of agreement (lower and upper), and intra-class correlation coefficients (ICCs) for continuous variables. Within overall categories of both HAT and PDL, substantial agreement (kappa ≥0.61) and reliability (Kendall’s tau-b ≥ 0.75) were observed. Specifically, identifying high-grade HAT (kappa ≥0.78) and distal patency (kappa ≥0.85) displayed the highest agreement within HAT and PDL interpretation. Meanwhile, measuring the height of the proximal screw hub cove represented the least reliable HAT assessment among both inter- and intra-rater comparisons (ICC &lt; 0.75), while suspected leak mechanism represented the least reproducible PDL measure. Conclusion Despite only minimal training of one rater, overall high levels of inter- and intra-rater agreement and reliability were observed across the chosen algorithms for interpretation of HAT and PDL following Watchman FLX LAAC. The prognostic implications of the included variables are to be explored in future trials and registries.