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Background: ICI-related myocarditis is challenging to diagnose and associated with adverse cardiovascular events and mortality. ICI therapy has also been associated with acute coronary events. There is limited data regarding cardiac troponin T (cTnT) and its association with these cardiovascular outcomes. Methods: All patients treated with ICI at a tertiary institution from 2011 to 2022 were identified, and the charts of those with cTnT measurements were reviewed. In patients with cTnT elevation (cutoff of >14 ng/L), if the Bonaca criteria for myocarditis were met, these patients were labeled as cTnT+/myocarditis+, otherwise as cTnT+/myocarditis-. Patients with non-elevated cTnT values were labeled cTnT-. Medical records were reviewed for baseline characteristics and long-term outcomes, including cardiac death, new heart failure (HF) diagnosis, and MACE (myocardial infarction, TIA/stroke, new HF diagnosis). Kaplan-Meier curves were created to plot the comparison between the three groups. Results: A total of 1669 cancer patients who received ICI therapy had post-ICI cTnT measurements. Mean age was 68.7±11.3, 58.3% were male, with follow-up at 1 year post ICI administration. Of these, 59 patients were cTnT+/myocarditis+, 1077 patients were cTnT+/myocarditis-, and 533 were cTnT-. Survival free of cardiac death, MACE and new HF diagnosis showed a graded response from worst in cTnT+/myocarditis+ patients and best in cTnT- patients; cTnT+/myocarditis- patients had a more favorable but still worse prognosis than cTnT- patients (Figure 1). A cTnT value of 95 ng/L was identified as the best cutoff for the diagnosis of ICI-related myocarditis (AUC 0.82, sensitivity 81.36%, specificity 81.62%). The optimal cTnT cutoff for cardiac death was 576 ng/L (0.70, sensitivity 72%, specificity of 61%) and for MACE 319 ng/L (AUC 0.61, sensitivity 70%, specificity of 52%). Conclusion: In cancer patients receiving ICI therapy cTnT elevations indicate a higher risk of MACE, HF, and cardiac mortality even in patients without myocarditis. Although worst outcomes are seen in those meeting diagnostic criteria for myocarditis.

Background: Atrial fibrillation (AF), the most common clinically managed cardiac arrhythmia, is known to increase the risk of heart failure, stroke, and mortality. Lipoprotein(a) [Lp(a)], a well-established risk factor for atherosclerotic cardiovascular disease (ASCVD), also plays a role in cardiovascular health. However, the influence of Lp(a) on the development of AF, independent of its association with ASCVD, remains unclear. Hypothesis: Elevated Lp(a) may be associated with increased risk of new-onset AF. Methods: A retrospective study was conducted on patients from the three Mayo Clinic sites who had their Lp(a) levels measured and had no prior history of AF. Patients were categorized into two groups based on their serum Lp(a) concentrations: high Lp(a) (≥50 mg/dL) and low Lp(a) (<50 mg/dL). New AF diagnoses were identified during the follow-up period. Survival probabilities between the two Lp(a) groups were compared using the Kaplan–Meier curve and the Log-Rank test. Cox regression analyses, both univariable and multivariable, were performed to evaluate established risk factors and compare the risk of new-onset AF between the high and low Lp(a) groups. Results: A total of 108,930 patients were included (median age: 55 years, 58% males), with a follow-up duration for up to 10 years. Incident AF was detected in 8432 (7.7%) patients. Median serum levels of Lp(a) were significantly higher in patients with AF versus non-AF patients: 15 (IQR 43) vs. 12 (IQR 34) mg/dL, p<0.001. The percentage of patients having elevated Lp(a) was significantly higher in the AF group versus non-AF group: 2119 (25%) vs 21151 (21%), p<0.001. Survival probability for new-onset AF was significantly lower in patients with elevated Lp(a) compared with those with low Lp(a) (log rank p<0.001, Figure 1). In the univariate analysis, high Lp(a) levels were associated with a 17% increase in the risk of AF (HR = 1.17, 95% CIs: 1.12 to 1.23). The multivariate analysis adjusted for well-established risk factors for AF showed a less strong but still significant association, with a 10% increase in AF risk (HR = 1.10, 95% CI: 1.05 to 1.15). Conclusion: Our study suggests that elevated Lp(a) (≥50 mg/dL) seems to be an independent risk factor for new-onset AF. Future prospective studies are still warranted to validate our results.

Background: Secondary prevention after percutaneous coronary interventions (PCIs) is still challenging and lipoprotein(a) [Lp(a)] is believed to be a residual risk factor in this setting. However, the effect of Lp(a) in case of well-controlled low-density lipoprotein cholesterol (LDL-C) is still unclear. The interaction between Lp(a) and LDL-C has been studied in primary prevention but still needs to be investigated in secondary prevention. Hypothesis: Achieving adequate LDL-C control after PCI may reduce the cardiovascular (CV) risk associated with Lp(a). Methods: A retrospective study of consecutive patients who underwent PCI and reached their LDL-C target levels (<70mg/dL) at three academic centers sites between 2006 and 2017. All included patients must have an Lp(a) measurement before the PCI intervention. Clinical outcomes on 10-year follow-up were collected by reviewing the electronic patients' records. The primary outcomes included all-cause mortality (ACM) and major adverse CV events (MACE) including non-fatal MI, ischemic stroke, coronary revascularization, and CV death. Kaplan-Meier curves were created to compare the survival probabilities among patients with high Lp(a) (≥50mg/dL) versus those with low Lp(a) (<50mg/dL). Univariate and multivariate Cox regression analyses were performed to quantify the association of elevated Lp(a) with outcomes and control for potential confounders. Results: In total, 878 patients (median age = 68 years, 74% males) were included in the analysis. Of them, 242 (27.6%) had high Lp(a) ≥50mg/dL. Kaplan Meier analyses did not reveal any significant difference in survival probabilities across the Lp(a) groups for any of the outcomes (Figure 1). The results were consistent in univariate (MACE, HR: 1.08 [95%CIs 0.85-1.35]; ACM, HR: 0.97 [95% CI 0.76-1.23]) and multivariate analyses (MACE, HR: 1.14, [95% CIs 0.90-1.45]; ACM, HR: 1.08 [95% CI 0.84-1.39]). Conclusion: These findings suggest that, in patients who underwent PCI and achieved an LDL-C target of <70 mg/dL, elevated Lp(a) levels were not associated with and increased risk of MACE or mortality. Controlling the LDL-C should still be the cornerstone in secondary prevention after PCI, however, larger prospective studies are still warranted to validate our results.

Background: Myocarditis is a dreaded complication of immune-checkpoint inhibitor (ICI) therapy but challenging to diagnose. There are no published data comparing the two leading diagnostic criteria for ICI myocarditis and their association with cardiovascular events. Methods: Patients treated with ICI and cardiac Troponin (cTnT) measurements thereafter at a tertiary institution from 2011 to 2022 were identified. Charts were reviewed for ICI-related myocarditis according to the Bonaca et. al criteria and the ESC-ICOS guideline criteria. A propensity matched control group was identified of patients treated with ICI but without developing myocarditis. Medical records were reviewed for baseline characteristics and long-term outcomes, including cardiac death, MACE (myocardial infarction, TIA/stroke, new heart failure diagnosis), and arrhythmias (V-tach, A-fib, complete heart block). Results: A total of 59 patients were identified as having a diagnosis of ICI-related myocarditis per Bonaca criteria (16 having definite, 13 probable and 30 possible myocarditis), and 47 met the ESC-ICOS guideline criteria. Mean age was 73.1±10.2 years, 60.1% were male, median follow-up was 2.5 years. ICI-related myocarditis as diagnosed by both diagnostic criteria had prognostic value for cardiac death (HR 13.94, 95%CI 1.84-105.64, p=0.011 per Bonaca, HR 6.22, 95%CI 1.77-21.88, p=0.004 per ESC-ICOS), MACE, (HR 3.17, 95%CI 1.34-7.47, p=0.008 per Bonaca, HR 2.97, 95%CI 1.37-6.45, p=0.006 per ESC-ICOS), and arrhythmias (HR 1.93, 95%CI 1.10-3.38, p=0.022 per Bonaca, HR 2.09, 95%CI 1.21-3.60, p<0.001 per ESC-ICOS), (Figures 1 and 2). There was no significant difference for cardiac death (AUC 0.75 for Bonaca, AUC 0.74 for ESC, p=0.765) or MACE (AUC 0.66 for Bonaca, AUC 0.66 for ESC, p=0.916) when both criteria were compared with each other. Conclusion: The ESC-ICOS criteria were more restrictive than the Bonaca criteria for the diagnosis of ICI-related myocarditis but similar in terms of prognostic value.

Background: Catheter ablation (CA) is an effective treatment for atrial fibrillation (AF), but many patients experience recurrence post-intervention. Evaluating left atrial strain (LAS) to measure LA reservoir strain (LASr), conduit strain (LAScd), and contractile strain (LASct) could help predict AF recurrence, especially in patients with no evident signs of severe LA myopathy. Goal: This study aims to assess the prognostic value of pre-ablation LAS in both paroxysmal AF (paAF) and persistent AF(peAF) in patients with no evident signs of severe LA myopathy. Methods: This retrospective study encompassed AF patients who underwent their first CA procedure at Mayo Clinic Arizona from October 2018 to February 2022 and had a LAVI <40 ml/m2 and LVEF >55%. Transthoracic echocardiography parameters, including the three LAS phases, were collected using TOMTEC software on the closest date before the CA procedure. Receiver operating characteristic (ROC) curve analysis was used to evaluate the capability of LAS to detect patients with AF recurrence after CA from those without recurrence. Results: Out of 335 AF patients who underwent CA during the study period, 40 cases had LAVI <40 ml/m2 and LVEF >55% (72.5% male; mean age 69.2 ± 8 years). Of these, 15% (6/40) experienced recurrence, while 85% (34/40) maintained sinus rhythm. The mean values of LASr, LAScd, and LASct for all patients were 16.82, 11.23, and 6.87, respectively. ROC analysis indicated that the area under the curve (AUC) for LASr, LAScd, and LASct was 0.582, 0.502, and 0.710, respectively. (Graph 1A, Table 1A) LASct was the only parameter associated with AF recurrence (AUC: 0.71). Additionally, we developed a novel marker termed LAVI-LASct by combining LAVI and LASct values, which demonstrated improved discrimination with an ROC value of 0.74 (Graph 1B). Conclusions: LASct demonstrated predictive capability for AF recurrence in patients with no severe LA dilation and preserved LVEF, potentially due to its ability to detect early atrial dysfunction preceding visible structural changes or myocardial pathology. The addition of LAVI values provided better discrimination for the ROC model. Further research is needed to confirm the clinical relevance of LAS in AF patients undergoing ablation.

Background: Major adverse cardiovascular events (MACE), including myocardial infarction, acute coronary syndrome, ischemic heart disease requiring revascularization, stroke, and heart failure, have been documented as significant contributors to mortality in cancer survivors. Coronary artery calcium (CAC) can predict MACE in non-cancer populations, while calcium in the aorta (CA) has not been evaluated as a prognostic marker. Every patient diagnosed with cancer undergoes a standard-of-care Positron Emission Tomography-Computed Tomography (PET-CT) or a chest CT before the initiation of chemotherapy. Hypothesis: To determine whether the CAC or CA of patients with Hodgkin's or non-Hodgkin's lymphoma, derived from standard-of-care PET-CT/chest CT, can predict the incidence of MACE. Methods: Patients treated with anthracycline-based chemotherapy, diagnosed and followed from January 1, 2013, through June 30, 2023, were included. Patients who did not undergo a PET-CT or CT, and/or developed MACE before treatment initiation were excluded. Univariate and multivariate adjusted Cox regression models were employed to assess whether the presence of CAC, CA, or CAC-CA was associated with the development of MACE. Calcium was retrospectively quantified using TeraRecon software (Durham NC) and categorized as: 0, 1-99, and >100. Outcome analyses was estimated using the Kaplan-Meier method. Results: 326 patients were included, mean age of 55 years (range: 52-60), predominantly male 201 (61%) and white 314 (96%), CAC was found in 89 patients and CA in 140. In the univariate regression model, a statistically significant association was found with values >100 for CA, CAC and CAC-CA with the risk of MACE. (Fig 1a/b/c). CAC equal to 0 demonstrated a significant protective effect against MACE. (Fig 1a). In the multivariable analysis, these associations persisted even after adjusting for comorbidities. (Table 1). Conclusion: CAC, CA and CAC/CA >100 in the standard-of-care CT/PET CT are predictors of MACE in lymphoma patients undergoing anthracycline treatment, a CAC equal to 0 has protective effect, these relationships remained statistically significant after adjusting for comorbidities.

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.

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: 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.

Background: Aortic regurgitation (AR) is a prevalent valve disease with a long latent period to symptoms. Recent data has suggested the role of novel markers of myocardial overload in assessing onset of decompensation. Method: We sought to evaluate the role of unsupervised cluster analyses in identifying different clinical clusters, including clinical status, and a large number of echocardiographic variables including left ventricular (LV) volumes, and their association with mortality. Patients with ≥moderate-severe chronic AR identified using echocardiography at Mayo Clinic, Rochester were retrospectively analyzed. Primary outcome was all-cause mortality censored at aortic valve surgery/last follow-up. Uniform Manifold Approximation and Projection (UMAP) with K -means algorithm was used to cluster patients using clinical and, echocardiographic variables at the time of presentation. Missing data were imputed with the Multiple Imputation by Chained Equations (MICE) method. A supervised approach trained on the training set was used to find cluster membership in a hold-out validation set. Log-rank tests were used to assess differences in mortality rates between the clusters, both in the training and validation sets. Results: Three distinct clusters were identified among 1100 patients (log-rank P for survival <0.001). Cluster 1 (n=337), which included younger males with severe AR but fewer symptoms, showed the best survival, 75.6% (69.5, 82.3). Cluster 2 (n=235), older and more females with elevated filling pressures, showed intermediate survival of 64.2 % (56.8, 72.5). Cluster 3 (n=253), characterized by severe symptomatic AR, demonstrated the lowest survival of 45.3 % (34.4, 59.8) at 5 years. Similar clusters were formed in the internal validation cohort. Conclusion: Distinct clusters with variable echocardiographic features and mortality differences exist within patients with chronic ≥moderate-severe AR. Recognizing these clusters can refine individual risk stratification and clinical decision-making after verification in future prospective studies.