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Abstract Background AI-enhanced electrocardiogram (AI-ECG) is a cost-effective tool for left ventricular dysfunction screening. However, its cost-effectiveness for other forms of structural heart disease (SHD) is unknown. While AI-ECG is inexpensive, the relatively low positive predictive value (PPV) of many models can lead to high costs from unnecessary follow-up tests like transthoracic echocardiography (TTE). Therefore, strategies to improve the yield of AI-ECG-based screening are needed. Purpose To evaluate the cost savings of a stepwise approach to SHD screening using AI-ECG followed by point-of-care ultrasound (POCUS) compared to AI-ECG alone. Methods 286 adult outpatients undergoing AI-ECG were randomly selected to undergo same-day POCUS. All participants were required to have a recent TTE, our gold standard for SHD diagnosis, for comparison purposes. We evaluated four SHDs: aortic stenosis, cardiac amyloidosis, hypertrophic cardiomyopathy, and left ventricular dysfunction (defined as left ventricular ejection fraction <50%). The costs of AI-ECG ($75/test) and TTE ($1,305/test) were sourced from Healthcare Bluebook, while the cost of POCUS ($100/test) was independently estimated. We compared the costs of screening with AI-ECG alone to stepwise screening with AI-ECG followed by POCUS. Costs were analyzed for two paradigms: screening for all forms of SHD in parallel and screening for each SHD individually. Results AI-ECG alone identified potential SHD in 125 out of 286 patients. When compared to TTE, only 39 out of 125 were true positives (31% PPV). Among the AI-ECG-positive patients, POCUS demonstrated findings of SHD in 52 out of 125 cases. When compared to TTE, this stepwise approach yielded 32 true positives and 20 false positives (62% PPV). In the parallel screening paradigm, the cost per patient diagnosed with SHD was $4,733 with AI-ECG alone, which decreased to $3,182 with stepwise screening (33% cost savings). For the individual SHD screening paradigm, cost reductions were as follows: aortic stenosis ($18,724 to $6,315, 66% savings), cardiac amyloidosis ($21,023 to $12,230, 42% savings), hypertrophic cardiomyopathy ($9,883 to $6,175, 38% savings), and left ventricular dysfunction ($4,019 to $3,582, 11% savings). Conclusions Stepwise SDH screening with AI-ECG followed by POCUS markedly reduces costs compared to AI-ECG alone. The greatest cost savings for individual SHD screening were observed for aortic stenosis and cardiac amyloidosis, conditions where AI-ECG models have lower PPVs. Parallel screening for multiple SHDs is also less costly than screening for any individual SHD alone. Therefore, a parallel screening approach may maximize SHD detection while minimizing screening costs. Stepwise Screening Approach for SHD SDH Screening Costs

ABSTRACTBackgroundAnemia is frequently observed as a comorbidity in atrial fibrillation (AF), especially in elderly patients and in those on anticoagulation. This has been associated with poor clinical outcomes. We aim to investigate the impact of anemia on clinical outcomes in patients with AF on oral anticoagulation.MethodsWe comprehensively searched PubMed, WOS, SCOPUS, EMBASE, and CENTRAL through March 2024 and conducted a prognostic systematic review and meta‐analysis. All analyses were performed using R V. 4.3.1. This meta‐analysis was registered at PROSPERO (CRD42024556023).ResultsWe included 23 studies comprising 286,781 patients for analysis. Anemia had a significant association with an 84% increase in risk of major bleeding (HR: 1.84 with 95% CI [1.59, 2.13], p < 0.01), a 32% increase in the risk of intracranial hemorrhage (HR: 1.32 with 95% CI [1.10, 1.58], p < 0.01), a 98% increase in the risk of gastrointestinal bleeding (HR: 1.98 with 95% CI [1.67, 2.35], p < 0.01), and a 91% increase in the risk of all‐cause mortality (HR: 1.91 with 95% CI [1.46, 2.51], p < 0.01). However, the impact of anemia did not significantly affect the risk of stroke, transient ischemic stroke (TIA), or systemic embolism (HR: 1.07 with 95% CI [0.93, 1.22], p = 0.36).ConclusionAnemia was significantly associated with an increased risk of major bleeding, intracranial hemorrhage, gastrointestinal bleeding, and all‐cause mortality. However, anemia did not significantly impact stroke, TIA, or systemic embolism.

Background: PAINESD score was established as a predictor of periprocedural acute hemodynamic instability, long-term mortality and heart failure among patients undergoing catheter ablation for ventricular tachycardia (VT-CA). Objective: To assess the validity of PAINESD score and compare outcomes of high-risk patients undergoing catheter ablation for ventricular tachycardia (VT) with and without mechanical circulatory support (MCS) use during procedure. Methods: We conducted an observational dual-center study of consecutive patients with SHD undergoing VT-CA over a decade (2012-2022). The PAINESD score, based on 7 variables (COPD, age >60 years, general anesthesia, ischemic cardiomyopathy, NYHA class III or IV, ejection fraction <25%, VT storm, and diabetes mellitus), was calculated and categorized into low risk (<10), intermediate risk (10-16), and high risk (>16) as previously reported. Two survival analyses were performed to compare outcomes between different groups: one using all-cause mortality or heart transplant as the event, and another using recurrent or repeat ablation as the event. Multivariable Cox proportional hazards regression models were used to calculate hazard ratios for each PAINESD category and to determine the hazard ratio for the use of MCS among high-risk patients. Results: We found that between 2012 to 2022, 559 ablations were performed on 441 patients. There were 296 (53%), 182 (32.6%) and 81(14.5%) patients in low, medium, and high risk. Using low risk as reference, aHR for medium risk was 2.1 (1.24-3.7; p=0.006) and for high risk was 4.6(2.54-8.3; p <0.001). Among patients with high PAINESD score (n=81), 5 patients (6.2%) required MCS (Intra-arterial balloon pump (IABP)=1, ECMO only=1, ECMO+IABP=1, bypass=2). 4/5 (80%) patients on MCS stayed on them post procedure, except one patient on IABP. In this cohort, there was no difference between patients with and without MCS in primary outcome [aHR= 1.6 (0.48-5.4); p=0.43] and in secondary OUTCOME [1.29 (0.3-5.5; p=0.735)]. Conclusion: PAINESD was a significant predictor of mortality or heart failure, but it did not help in prediction of recurrence of VT, or repeat VT-CA.

Background: Patients undergoing epicardial access for ventricular tachycardia (VT) have a higher rate of complications and VT recurrence post-procedure. Data regarding electrophysiological factors driving the outcomes are scant. Objective: To compare the factors and outcomes associated with epicardial vs endocardial VT ablation. Methods: A single-center, retrospective study of patients undergoing catheter ablation for scar-related VT was conducted. Data collected included demographics, comorbidities, medications, relevant laboratory abnormalities, electrocardiograms, echocardiograms, detailed procedural characteristics, and outcomes. Results: Our cohort of 554 patients had 89 (16.1%) epicardial and 465 (83.9%) endocardial VT ablations. Patients undergoing epicardial ablation had a greater frequency of NICM, and more patients had undergone sympathetic modulation for VT (p < 0.05) but had lesser frequency of valve surgery, and CABG. Epicardial ablation was associated with greater use of both short-term (<3 months) and long-term (>6 months) anti-arrhythmic drugs (AAD) (p<0.01). Epicardial access was obtained by micropuncture or needle-in-needle technique for 22.5% (n=20) of patients. Except for more use of general anesthesia and the lesser usage of drugs for VT induction during epicardial procedures, there were no significant differences. Epicardial ablation had a higher risk of acute complications (<30 days) after the procedure (driven by pericarditis) (25% vs 7.8%, p<0.01). On survival analysis, epicardial access was associated with an increase in VT recurrence and repeat ablation (p<0.01) during a mean follow-up of 1072 days. On multivariate analysis, after adjusting for age, sex and comorbidities, epicardial access was an independent predictor of VT recurrence or repeat ablation [aHR 1.61 (CI: 1.18- 2.2)] Conclusion: Patients undergoing epicardial ablations with fewer comorbidities demonstrated increased AAD usage prior to and after the procedure, and a higher risk of acute complications after the procedure. Epicardial access was an independent predictor of VT recurrence or repeat ablation.

Introduction: Tricuspid regurgitation (TR) is a common complication of right ventricle lead extraction (RVLE) in 5 to 10% of cases. This study aims to identify clinical outcomes such as predictors of heart failure hospitalization, need for tricuspid valve intervention, and death among patients with new severe TR after device lead removal (DLR). Methods: Patients who underwent DLR (pacemaker/ICD) between 3/1997 and 3/2024 were identified. Those who had an echocardiogram before and after RVLE with evidence of new severe TR were included. Cox univariable regression controlling for current age was used to assess association with death. Prentice Williams Peterson total time (PWPTT) Cox univariable regression was used to determine the rate of heart failure hospitalization up to three events per subject. Bivariable cox regression was used to control for ejection fraction for ICD and coil removal. Analysis was conducted using Stata IC16. Results: We identified 2,122 people who underwent RVLE, of whom 90 (4.24%) developed new severe TR and were included in the analysis. There were 68 hospitalizations among 38 people at a median of 2 years following lead extraction (IQR 0.57 to 4.5 years). The rate of hospitalization was 11.60 [9.14 to 14.71] per 100 person-years. Removal of an ICD was associated with increased hospitalization (HR 5.48 p<0.001) but not mortality (HR 1.21, p=0.707). Removal of a single coil ICD lead was associated with increased hospitalization rate (HR 3.01, p=0.031) but not mortality (HR =0.51, p=0.380). Removal of dual coil ICD lead was associated with more than a tenfold increase in hospitalization rate (HR 11.55, p=0.001) and four times the mortality rate (HR 4.05, p=0.031) (Figures 1&2). The presence of an abandoned (pacemaker/ICD) lead was associated with increased hospitalization (HR 5.75, p=0.004) and mortality (HR4.95, p=0.034). There was no change in hospitalization rate following tricuspid valve replacement (HR 1.33, p=0.716, n=18). Conclusion: Among people with new severe TR following DLR, the characteristics of the leads are strongly correlated with morbidity and mortality.

Introduction: Metabolic pharmacotherapies [Glucagon-like peptide-1 receptor agonists (GLP1RA) and sodium-glucose cotransporter type 2 inhibitors (SGLT2i)] have shown benefit in patients with heart failure and preserved ejection fraction (HFpEF). It remains unclear whether the two classes would have additive effects. Methods: We performed a retrospective study using a de-identified federated database with 89 contributing health care organizations (HCO), including over 126 million patients (TriNetX Research Network, Cambridge, MA; date of data access: May 23, 2024). TriNetX regularly aggregates clinical data directly from participating HCOs, and performs extensive data quality and accuracy assessment. While TriNetX obfuscates institutional information relating to participating HCOs, a typical HCO includes a large academic health center with inpatient, outpatient, and specialty care services. We identified all patients with a diagnosis of Heart failure with preserved ejection fraction (HFpEF, ICD-10: I50.3), and SGLT2i usage. We then categorized this patient population into two cohorts, including patients with concomitant GLP1RA use, and patients without GLP1RA use. For both cohorts, we collected data on patient demographics, and the outcomes of all-cause mortality, and all-cause hospitalization, occurring up to 10-years after the index diagnosis. We evaluated differences in outcome risk using hazards ratios and 95% confidence intervals. Results: Prior to propensity score matching, we identified 114,329 patients, with 7931 patients receiving SGLT2i +GLP1RA vs 106398 receiving SGLT2i-alone. Majority (55.7%) identified as white and 24.4% as African Americans and >90% of the patients had a diagnosis of type 2 diabetes mellitus. After propensity matching, the rate of all-cause hospitalization within the combination group was lower than SGLT2i group (29.6% vs 32.4%, HR 0.76 [0.73- 0.79], P<0.001). All-cause mortality for the combination group was 6.8% versus 10.6% within the SGLT2i-alone group (HR 0.52 [0.47-0.56], P<0.001)). Conclusion: In this propensity-matched cohort, patients with HFpEF receiving GLP1RA and SGLT2i had lower rates of hospitalizations and all-cause mortality compared with those receiving SGLT2i alone. Large randomized controlled trials are warranted to corroborate these findings.

Introduction: The incidence and risk factors for atrial arrhythmia (AA) [atrial fibrillation (AF) and atrial flutter (AFL)] in adults with systemic right ventricle (SRV), specifically congenitally corrected-TGA (cc-TGA) and D-TGA palliated with atrial switch procedures, is not well understood. This study aims to better define these risks. Methods: Adults with SRV presenting to the Mayo Clinic between 1971 and 2022 were identified. Clinical characteristics, ECG and echocardiographic parameters were recorded at first evaluation. Sustained AA (> 30s) incidence at follow-up was documented using ECG. Cox regression analysis identified associations of incident AA. Results: Among 447 patients with SRV (mean age 34.7±14.8, 55.9% male, cc-TGA n=247; D-TGA post-atrial baffle n=200), AA was documented in 231 (51.6%) at a mean age of 37.5±18.8y. Isolated AF was observed in 88 (38.1%), isolated AFL in 71 (30.7%), and both AF and AFL in 72 (31.2%) patients. Univariate analysis showed significant predictors of AA as: age (HR:1.03, p<0.001), male sex (HR:1.49, p=0.026), NYHA class≥2 (HR:1.98, p<0.001), ventricular pacing (HR:1.64, p=0.019), QRS duration (HR:1.008, p<0.001), SRV enlargement (HR:1.73, p=0.01), SRV ejection fraction (HR:0.979,p=0.012), left atrial enlargement (HR:1.947, p=0.006), hypertension (HR:1.57, p=0.047), CKD (HR:0.991, p=0.021), and obesity (HR:1.66, p=0.023). In multivariable analysis, age (HR:1.032, p<0.001) and QRS duration (HR:1.007, p=0.013) were significant predictors of AA. Kaplan Meier analysis of time from first evaluation to incidence of AA is shown in the figure. AA was associated with heart failure in 56 (26.7%) patients. During 11.2±10.5 years of follow-up, mortality occurred in 50 (21.6%) with AA and 19 (8.8%) without AA. Conclusion: Atrial arrhythmia occurred in more than half of patients with SRV, predominantly in the third decade of life. Significant associations of AA included advancing age, longer QRS duration, enlargement of pulmonary venous atrium, reduced SRV function, hypertension and obesity. AA was associated with heart failure in one-fourth of patients and higher mortality. Close monitoring and early intervention in patients with risk factors may help mitigate the development of AA.

Background: Sleep disordered breathing (SDB) is frequently observed in patients with cardiovascular disease, and is associated with intermittent hypoxia, sympathetic activation, oxidative stress, and endothelial dysfunction, all of which may facilitate the development and progression of cardiovascular disease. Objectives: We sought to determine the prevalence, subtypes, and clinical implications of comorbid SDB in patients with hypertrophic cardiomyopathy (HCM). Methods: In this prospective observational study, patients with HCM without prior diagnosis of SDB were recruited to undergo inpatient polysomnography between May 1 st 2018 and October 31 st 2022. Electrocardiographic and echocardiographic parameters, cardiac biomarkers, and symptoms were comparatively assessed in patients with and without comorbid SDB. Patients were assessed for the development of major adverse cardiovascular events (MACE) during follow-up (median 29, range 3-57 months). Results Among 154 participants, 91 (59.1%) were diagnosed with SDB of whom 38 (41.8%) had mild, 22 (24.2%) moderate, 18 (19.8%) severe obstructive sleep apnea, and 13 (14.3%) had central sleep apnea. SDB was associated with greater left ventricular mass (median [IQR]) (128 [107, 161] vs. 109 [96, 134] g/m 2 , p =0.034) and E/e’ ratio (12.5 [10, 15] vs. 10.0 [8.3, 14.5], p =0.039). Patients with HCM over the age of 50 years, with body mass index ≥ 30kg/m 2 , who described their sleep as “poor” were at particularly high risk of having comorbid SDB, as were those who were diabetic, hypertensive, or described greater exertional limitation (NYHA Class ≥II 53% vs. 27%, p =0.005). Importantly, subjects with SDB had elevated baseline Troponin T levels (14 ng/L vs 11 ng/L, p =0.030), and further substantial overnight troponin increases following untreated apneic sleep (2.1ng/L vs 0.2ng/L, p =0.009). Finally, patients with comorbid SDB experienced a significantly higher proportion of incident adverse cardiovascular events (MACE hazard ratio 5.3, 95% CI, 1.6, 17.2, p =0.006) than those without SDB. Conclusions: We report a particularly high burden of previously undiagnosed SDB in patients with HCM, particularly in older, heavier, male patients. Undiagnosed SDB in HCM is not benign and is associated with symptom progression, comorbidity, and a poorer prognosis, particularly in the case of central sleep apnea. These important new findings provide rationale for heightened vigilance and routine screening for SDB in patients with HCM.

Background: AI-ECG is a cost-effective tool for left ventricular dysfunction (LVD) screening. However, its cost-effectiveness for other forms of structural heart disease (SHD) is unknown. While AI-ECG is inexpensive, a drawback is low positive predictive value (PPV), which leads to high costs from unnecessary follow-up tests. Therefore, strategies to improve the yield of AI-ECG-based screening are needed. Aim: To evaluate the cost savings of a stepwise approach to SHD screening with AI-ECG followed by POCUS compared to AI-ECG alone. Methods: 286 adult outpatients undergoing AI-ECG were selected at random. Participants received same-day POCUS and had a recent TTE (our gold standard for SHD). We evaluated four SHDs: aortic stenosis (AS), cardiac amyloidosis (CA), HCM, and LVD. The costs of AI-ECG ($75) and TTE ($1,305) were obtained from Healthcare Bluebook. The cost of POCUS ($100) was estimated independently. Cost savings were analyzed for simultaneous screening for all forms of SHD and screening for individual SHDs. Results: AI-ECG identified potential SHD in 125 patients, but only 39 were true positives by TTE (31% PPV). In AI-ECG positive patients, POCUS demonstrated findings of SHD in 52/125. Compared to TTE, this stepwise approach yielded 32 true positives and 20 false positives (62% PPV). The cost per patient diagnosed with SHD was $4,733 with AI-ECG alone but decreased to $3,182 with stepwise screening (33% cost savings). Screening for individual SHDs resulted in cost reduction from $18,724 to $6,315 (66% savings) for AS, $21,023 to $12,230 (42% savings) for CA, $9,883 to $6,175 (38% savings) for HCM, and $4,019 to $3,582 (11% savings) for LVD. Conclusions: Stepwise screening for SHD with AI-ECG followed by POCUS significantly reduces costs compared to AI-ECG alone. We also suggest a model for parallel screening for multiple SHDs, which is likely more cost-effective than screening for individual SHDs.

Background: Current clinical guidelines emphasize the significance of rhythm control with catheter ablation but lack guidance on the timing after diagnosing atrial fibrillation (AF). Purpose: We aim to investigate the latest evidence on the impact of diagnosis to ablation time (DAT) on AF recurrence, all-cause mortality, stroke, and heart failure (HF) after AF catheter ablation. Methods: We comprehensively searched PubMed, WOS, SCOPUS, EMBASE, and CENTRAL through February 2024. We conducted a pair-wise and prognostic systematic review and meta-analysis with a reconstructed time-to-event data meta-analysis. All analyses were performed using R V. 4.3.1. PROSPERO ID: CRD42024525542. Results: With the inclusion of 22 studies, our cohort comprised a total of 42,101 patients. Regarding pair-wise meta-analysis, shorter DAT was significantly associated with a decreased incidence of AF recurrence across paroxysmal and persistent AF subgroups. Moreover, DAT ≤ one year was significantly associated with a decreased incidence of all-cause mortality (RR: 0.73 with 95% CI [0.59, 0.92], P< 0.01) with a trend toward lowering the risk of stroke (RR: 0.80 with 95% CI [0.62, 1.03], P= 0.08). However, there was no significant difference between DAT ≤ one year and DAT > one year in HF. Regarding adjusted prognostic meta-analysis, longer DAT was significantly associated with an increased risk of AF recurrence (P < 0.01). Our reconstructed Kaplan Meier showed that DAT > one year was significantly associated with a 50% increase in the risk of AF recurrence compared to DAT ≤ one year (HR: 1.50 with 95% CI [1.42, 1.58], P< 0.00001) over 60 months follow-up. Conclusion: Our meta-analysis strongly underscores the critical importance of a short DAT in significantly reducing AF recurrence and all-cause mortality, with a trend toward lowering stroke risk, though no significant impact on HF was observed. Early ablation proves beneficial not only for patients with paroxysmal AF but also for those with persistent AF. These findings suggest that minimizing DAT can markedly improve AF outcomes, warranting further investigation to optimize treatment strategies.