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Background: Cardiac sarcoidosis (CS) is a rare condition marked by conduction disturbances, and ventricular tachycardia (VT) resulting from reentrant pathways. VT ablation is typically considered for patients with refractory VT. This systematic review aims to synthesize reported outcomes and identify potential predictors for the success of VT ablation in CS patients. Methods: A systematic literature review was conducted following the PRISMA guidelines, searching PubMed, Cochrane, Embase, and Scopus databases up to May 2024. A random-effects model was used to evaluate electrophysiologic and procedural variables and compare outcomes to identify potential predictors of success. Results: After excluding duplicates, 473 titles and abstracts were screened. Twenty-five studies were fully reviewed, and 9 studies comprising data from 311 CS patients who underwent VT ablation were included. The mean age of patients was 50.5 years, with 30% being female. Epicardial mapping was performed in 29% (CI 22-36%; 72/251) of cases, and 96% (CI 77-100%; 65/72) of those underwent epicardial ablation. The prevalence of VT storm before the procedure was 28% (CI 16-42%; 89/259), with a suppression success rate of 84% (CI 73-93%; 64/76). The acute complete success rate defined as lack of inducibility was 58% (CI 49-66%; 174/307). During follow-up, which ranged from 19 to 58 months, 34% (CI 21-48%; 113/271) of patients survived free from the composite outcome of death, transplantation, or VT recurrence. Patients with acute success had fewer inducible VTs (MD –1.1; CI: -1.8 to -0.5; p < 0.001). No other variables were significantly associated with acute success. However, patients with acute success tended to be older than those with partial or unsuccessful outcomes (MD 7.5; CI: -0.2 to 15.1; p = 0.055). Conclusion: VT ablation in patients with CS shows acceptable acute success rates. Patients presenting with VT storm have a high rate of arrhythmia acute suppression. A lower number of inducible VTs is associated with higher acute success rates. Despite these results, the prognosis remains poor, with a significant proportion of patients experiencing disease recurrence, death, or requiring heart transplantation.

Heart disease continues to be the leading cause of death globally, even with the development and implementation of numerous pharmacological and surgical treatments. Transplanting cardiomyocytes derived from human-induced pluripotent stem cells (hiPSC-CMs) shows potential for repairing heart damage. However, tracking and quantifying these cells after transplantation in large animals remains challenging. This study aimed to develop a hiPSC line that overexpresses ferritin heavy chain (FHC) to enable tracking of transplanted hiPSC-CMs via magnetic resonance imaging (MRI). Using the CRISPR/dCas9 activation system, we increased FHC expression in hiPSCs and hiPSC-CMs. Both mRNA and protein levels of FHC were significantly elevated following transfection. Cell viability was unaffected by iron chloride concentrations between 0 μM and 2000 μM. hiPSCs and hiPSC-CMs overexpressing FHC (hiPSC-FHC OE and hiPSC-CM-FHC OE ) showed enhanced iron chloride uptake without changes in their electrophysiological properties compared to control hiPSC-CMs. Additionally, hiPSC-CM-FHCOE cells provided strong contrast and lower T 2 * values, indicating their effectiveness for cardiac MRI. When hiPSC-CM-FHCOE cells were injected into mouse hearts and imaged three days later, MRI revealed distinct signals from these cells with lower T 2 * values and rapid signal decay. Overall, endogenous FHC labeling in hiPSC-CMs could significantly improve the precision of cardiac MRI, marking a crucial advancement in assessing the success of hiPSC-CM transplantation in large animal models and enhancing cardiac regenerative therapies.

Introduction: Pulmonary Vein Isolation (PVI) has become the cornerstone during ablation of Atrial Fibrillation. The primary goal of the procedure is to prevent potential arrhythmogenic triggers from accessing the main left atrial substrate. However, incomplete fibrosis leading to PV reconnection has been identified as the primary reason for AF recurrence. It is unclear whether immediate voltage mapping and additional lesions delivered to areas of residual or recovered voltages will improve the outcome. This study evaluates the 1-year success and long-term recurrence-free survival in patients who underwent post-procedure voltage mapping (PPVM) to identify residual Low-Voltage Areas (LVAs) to guide the delivery of additional ablation lesions. Methods: We analyzed 588 patients who underwent PVI from 2015 to 2023. Of these, 243 had PPVM done to determine LVAs and guide additional ablation lesions. The control arm comprised 345 patients who underwent PVI by the same operators without PPVM. The primary endpoints were 1-year success and longer-term recurrence-free survival. Secondary endpoints were the incidence of complications and the prevalence of LVAs in patients who underwent PPVM. Results: Patients who underwent remapping were older than the control arm (68.3 vs 65.6 years, p = 0.005). There were no other significant differences in baseline characteristics between the two groups. At 1-year follow-up, the success rates were 79% in the treatment arm compared to 72% in the control arm (p = 0.038). Patients in the intervention arm had a recurrence-free survival rate of 65% and 54% at 2 and 4 years, respectively, compared to 62% and 43% in the control arm (p = 0.044). The prevalence of LVAs in the treatment arm was 56.8%. Additionally, complication rates were not increased in the remapping arm (3% vs 8%, p = 0.012). Conclusion: PPVM-guided incremental ablation lesions improve the 1-year success rate and recurrence-free survival at 2 and 4 years compared to traditional PVI without increasing complications due to additional lesion delivery.

Background: Guidelines recommend shared decision-making (SDM) for patients with atrial fibrillation (AF) making decisions regarding anticoagulation for stroke prevention. Decision support tools (e.g., Decision Aids [DAs]) facilitate SDM. However, little research has compared the effectiveness of the two most common types of DAs: (1) encounter decision aid (EDA) and (2) pre-encounter patient decision aid (PDA). Our study assessed the comparative effectiveness of PDAs and EDAs on SDM during AF clinical encounters where stroke prevention strategies were discussed. Research Question: Do decision aids (PDA or EDA), alone or in combination, improve patients’ AF decision-making experience compared to usual care? Methods: A cluster randomized multi-center trial in patients with AF comparing usual care (no DA) vs. one DA (EDA or PDA) or both DAs. Clinicians and patients were randomized independently into 4 study arms. Clinicians were randomized to use or not use the EDA for all study visits, and patients were randomized to use or not use the PDA. Co-primary outcome domains were: (1) quality of SDM (2) patient knowledge, and (3) decisional conflict. Secondary outcomes included: (1) treatment choice, (2) treatment initiation, and (3) treatment persistence. Patient characteristics were assessed. We will present comparisons of the randomized DAs on the co-primary and secondary outcomes and subgroup analyses. Results: Between December 2020-July 2023, investigators in 6 U.S. healthcare systems enrolled 1117 patients (mean (M) age 69, 63% male, 89% White) and 107 clinicians. Compared to usual care (no DA, M=31.6), SDM was better in patients receiving PDA (M=35.4) and EDA (44.5) alone or together (M=43.7; p’s<0.001). Knowledge about AF was greatest for those receiving both DAs or the PDA alone (84% accurate responses for PDA and both vs 76% with no DA, p<0.001), followed closely by the EDA alone (82%, p=0.003). Finally, both DAs (M=19.5) and EDA alone (M=20.0) had better decisional conflict scores compared to usual care (M=25.8; p’s<0.001). We will present analyses that assess the impact of DAs on secondary outcomes and interactions with DA, patient, and clinical characteristics across each outcome. Conclusions: In one of the first randomized trials examining the comparative effectiveness of EDAs and PDAs on SDM in clinical medicine, both PDAs and EDAs improved shared decision-making, decisional conflict, and knowledge compared to patients receiving usual care.

Background: VICTORION-INITIATE (NCT04929249) showed significantly greater LDL-C lowering in patients (pts) with ASCVD with an inclisiran first (IF) strategy (adding inclisiran immediately on failure to achieve LDL-C <70 mg/dL on maximally tolerated statin therapy) vs usual care (UC). Tokenization can be leveraged to link clinical trial data to pt-level real-world data (RWD) to provide a comprehensive overview of the pt journey pre- and post-trial and enhance understanding of clinical trial and long-term pt outcomes. Aim: To utilize tokenization and linked RWD to characterize the pt journey pre-VICTORION-INITIATE enrollment. Methods: Eligible pts from VICTORION-INITIATE were deidentified and tokenized with unique IDs, allowing linking to RWD (EMR, claims, hospital, and lab records) to follow the pt journey in the 3-year pre-trial and 2-year post-trial periods. Here we present demographics, clinical characteristics, and lipid-lowering therapy (LLT) use of pts with linked pre-trial RWD. Results: Of 450 pts randomized, 383 (85.1%) were linked with pre-trial RWD (IF arm, n=193; UC arm, n=190); 26.9% were female, first available recorded mean (SD) age was 64 (9.36) years. Among the 74.2% (n=284) of pts with linked, pre-trial, lipid test RWD, mean (SD) earliest and latest LDL-C values were 100.1 mg/dL (35.70) and 99.3 mg/dL (30.06), respectively, for pts in the IF arm vs 97.3 mg/dL (40.43) and 97.8 mg/dL (27.60) for pts in the UC arm ( Table ). Overall, in the pre-trial period, LLT was dispensed/prescribed to 66.1% of pts, statins to 64.5%, ezetimibe to 4.4%, and PCSK9i to 4.4%. Of pts with ≥1 recorded ASCVD events in the pre-trial period (n=141), 53.2% and 68.8% had available LLT dispensing/prescription records pre- and post-event, respectively. Conclusions: In the 3 years pre-VICTORION-INITIATE, mean LDL-C levels were above recommended goals, non-statin LLT prescription was infrequent, and ~31% of pts with ≥1 recorded ASCVD event had no evidence of post-event LLT use, highlighting a need for more aggressive LDL-C management. Full data visibility for each pt is a limitation of this approach. Tokenization post-trial will allow for long-term evaluation of LLT practices.

Background: Electrocardiography-based artificial intelligence (AI-ECG) validated models that detect cardiac disease are increasingly being applied in clinical practice. The utility of such tools to detect insidious cardiac disease in patients with normal baseline left ventricular ejection fraction (LVEF) who paradoxically develop reduced LVEF during exercise stress echocardiography (ESE), and do not have coronary artery disease (CAD) or hypertension, is unknown. Hypothesis: AI-ECG is useful to diagnose insidious cardiac disease and predict clinical outcomes in patients with exercise-induced cardiomyopathy. Aims: To assess the utility of AI ECG in patients with exercise-induced cardiomyopathy. Methods: Among all ESE performed between January 2003 and December 2022, patients without a hypertensive response to exercise and without CAD (confirmed by coronary angiography within 90 days after ESE), with resting LVEF ≥50% and a paradoxical ≥5% LVEF decrease during ESE were identified. A previously validated AI-ECG algorithm that predicts atrial fibrillation (AF), reduced LVEF, and cardiac amyloidosis (CA) was applied to the baseline ECG closest to the time of ESE. The predicted probability of AF, reduced LVEF, and CA if above the published thresholds, was determined. Results: There were 134 patients with exercise-induced cardiomyopathy who were identified. The mean age of this cohort was 66±10 years, 76% were women and 16% had AF at baseline. Mean LVEF was 58±4% at rest and 43±4% at peak stress. The median follow-up period was 6.8 years (IQR 3.0-12.2). Among patients without a baseline history of AF (n=112), AI-ECG identified 29% with a significant probability of AF, which was associated with a subsequent AF diagnosis at univariable analysis (HR 2.505, 95%CI 1.016-6.177, p=0.046). There were 10 patients with an AI-ECG prediction of reduced LVEF among whom 3 were subsequently hospitalized with HF. AI-ECG was positive for CA in 8 and 3 amongst these had subsequent HF hospitalizations (Table). Conclusions: Baseline AI-ECG may help predict subsequent AF and diagnose preclinical amyloid cardiomyopathy in patients who by resting echocardiography do not seem to have cardiac disease but with exercise develop reduced LVEF.

Background: Carcinoid heart disease (CaHD) typically affects tricuspid and pulmonary valves and is associated with poor survival. To date, the role of right ventricular (RV) and atrial (RA) strain has not been evaluated in such cohort. Research Questions: To evaluate RV and RA strain patterns and assess their impact on survival and congestive heart failure (CHF) development. Methods: Retrospective study of CaHD patients (ICD 9/10 diagnosis of neuroendocrine tumor and echocardiographic evidence of CaHD prior to any surgical intervention; 2004-2019). Longitudinal strain was evaluated using speckle-tracking, RV/RA-focused view was used. RV strain was averaged from 3 and 6 segments for free wall (FWS) and global strain (GS), respectively. Auto-tracking with manual adjustment was done to ensure optimal tracking. The tracing of RV/RA endocardium was done with 15 points using the tricuspid valve annulus as a reference. The impact of strain parameters on mortality and CHF was evaluated with the Kaplan Meier and Cox proportional hazard analyses. Results: A total of 138 patients were included (mean age was 63 ± 10 years; 47% females). Median follow-up was 5.0 years (3.7-8.2). Significant RA and RV enlargement (72 and 79%, respectively) was more common than RV dysfunction (10%). The most common valvular disease > moderate was tricuspid regurgitation (TR; 97%) followed by pulmonary regurgitation (PR; 70%). RV GS mean was -21 + 6%, with FWS of -23 + 7%. The mean RA strain analysis revealed (93% sinus rhythm): a reservoir of 26 + 11%, a conduit of 14 + 8%, and an atrial contraction of 12 + 8%. Strain parameters were not associated with overall mortality. As opposed to PR/TR severity and RV/RA enlargement/dysfunction, patients with low RA reservoir strain (<23%) were more likely to develop CHF (adjusted-HR=1.80, p=0.04, 95% CI 1.04 - 3.134). Conclusions: Our findings suggests that CaHD patients have RV/RA dysfunction with overall reduced strain parameters. Patients with low RA reservoir had higher risk of CHF, but none of the RV/RA strain parameters were associated with excess mortality. This shows how strain analysis could complement other echocardiographic parameters in CaHD morbidity assessment.

Background: New-onset atrial fibrillation (AF) is common among kidney transplant (KTx) recipients and is associated with reduced patient survival. Predictors of AF after KTx are not well understood, although AF can be associated with traditional and non-traditional risk factors. While artificial intelligence-enabled electrocardiography (AI-ECG) has shown promise in predicting incident AF, its predictive and prognostic implications in the KTx population have not yet been evaluated. Hypothesis: AI-ECG can predict new-onset AF and carries prognostic implications in patients undergoing KTx. Aims: To evaluate the clinical implications of applying AI-ECG to the preoperative ECGs of recipients of a KTx. Methods: Patients without a history of AF who underwent KTx at three referral centers between 2011 and 2021, with at least one preoperative ECG, were included in this retrospective study. Preoperative ECGs were analyzed using a previously developed AI-ECG algorithm to estimate the probabilities of new-onset AF. Based on these probabilities, patients were categorized into two groups: high and low probability of incident AF. The optimal cut-off value for the AI-ECG tool was determined using ROC analysis. The incidence of new-onset AF and mortality at 5 years post KTx were compared between these two groups using univariate and multivariate Cox regression analyses. Results: In total, 6246 patients were included (mean age 52.9 ±14.3 years, 58.7% males). A pre-transplant AI-ECG probability of AF >10% was identified as the most accurate cutoff point to distinguish between patients at low risk and high risk of incident AF (ROC = 0.72). The study found that a preoperative AI-ECG high risk of AF demonstrated not only a strong association with new-onset AF (HR 2.54, 95%CI 2.02-3.19, p<0.001 on multivariable analysis, Figure 1A ) but was also associated with an increased risk of mortality both on univariate (HR 2.73, 95%CI 2.34-3.18, p<0.001) and multivariate (HR 1.57, 95%CI 1.29-1.91, p<0.001 ) analysis at 5-year follow-up ( Figure 1B ). Conclusion: The application of AI-ECG to a single widely available test may help assess the risk of new-onset AF and mortality in patients undergoing KTx. Accurate risk stratification may identify a high-risk subgroup of transplant recipients who can benefit from closer AF monitoring, risk factor modification, and early management.

Introduction: Spontaneous coronary artery dissection (SCAD) is a poorly understood cause of acute coronary syndrome (ACS), predominantly affecting young women and frequently related to acute stressors. It has been suggested that stress induced cardiomyopathy can cause dissection via mechanical distortion of the vessel at wall-motion hinge points. Whether specific coronary anatomic configurations also predispose to distortion and hence SCAD remains unknown. Hypothesis: Patients with left anterior descending (LAD) SCAD have a higher frequency of a “wrap around” (type IV - perfuses >25% of the inferior wall) LAD. Methods: Coronary angiograms of patients in the Mayo Clinic SCAD Registry were reviewed. Patients from functional angiogram registry with similar characteristics were used as controls. Patients with an LAD SCAD were compared to patients who never had an LAD SCAD. For identifying predictors of LAD SCAD, patients who never had an LAD SCAD were compared to patients that had an LAD SCAD as a recurrent event, but not as the initial presentation. Results: A total of 456 patients with SCAD (46±6 years; 96% women) were included. The control group consisted of 178 patients (44±7 years, 97% women). Type IV LAD was more common in the SCAD cohort (Figure 1), and patients in the LAD SCAD group had a higher proportion of type IV LAD when compared to non-LAD SCAD (47.6% vs 23.0% p < 0.001). Bifurcation involvement was also more frequent (48.6 vs 25.8%, p <0.001). Individual predictors of an LAD SCAD during follow-up were diagnosis of hypertension, peripartum SCAD, involvement of a bifurcation and type IV LAD. After multivariate analysis, only bifurcation involvement (OR 2.49, p = 0.01) and type IV LAD (OR 2.26, p = 0.02) remained as predictors of LAD SCAD during follow-up. In patients in whom the PDA perfused the apex (LAD I and II), PDA was more likely to be involved by SCAD (OR 6.17, p<0.001). There were no other differences in coronary distribution after stratifying by LAD types. Conclusions: Type IV LAD variant is more common in patients with LAD SCAD. This finding suggests that coronary anatomic variants predispose to SCAD and lend further support to the mechanical distortion hypothesis.

Background: Pulsatile perfusion is a developing technique that attempts to mimic the natural pulsatile flow of blood during cardiopulmonary bypass (CBP). Purpose: Our meta-analysis was done to evaluate the effects of pulsatile perfusion in CPB compared to non-pulsatile on hospital stay, ICU stay, and intubation time. Methods: Randomized control trials that evaluated the implementation of pulsatile perfusion during CPB were identified by a literature search of the following databases (PubMed, Web of Science, Scopus, Central, and Embase) up to February 2024. Results: Our search yielded 33 trials with 3174 patients, the analysis showed that pulsatile perfusion led to a significant decrease in hospital stay [MD = -1.38, 95% CI (-2.51, -0.25), P = 0.016], ICU stay [MD = -0.47, 95% CI (-0.82, -0.13), P = 0.007], intubation time [MD = -3.73, 95% CI (-5.42, -2.04), P < 0.001]. However, no significant difference between the two regimens was detected in the adult subgroup when we performed sungroup analysis based on the age for hospital stay and ICU stay outcomes [MD = -0.31, 95% CI (-0.95, 0.33), P = 0.334] and [MD = -3.73, 95% CI (-5.42, -2.04), P < 0.001] respectively. Conclusion: Pulsatile perfusion showed positive effects on hospital stay, ICU stay, and intubation time. However, there was no difference between the two methods on hospital and ICU stay in the adult’s subgroup. Also, the outcomes showed significant heterogeneity, which requires more robust RCTs to be conducted to increase the quality and the certainty of evidence.