Citations

Introduction: The impact of COVID-19 was felt across cardiology as resources were redirected to critical care, delaying elective cardiology procedures. Hypothesis: To evaluate differences in outcomes of cardiac implantable electronic device (CIED) procedures in 2020 (height of COVID) vs. 2016-2019 (pre-COVID). Methods: Adults >= 18 years undergoing CIED procedures were identified from National Inpatient Sample Databases (NIS) 2016-2020. Complications and mortality were assessed based on the type of device: Permanent Pacemaker (PPM); Implantable Cardioverter Defibrillator (ICD); Cardiac Resynchronization Therapy with Pacemaker (CRT-P) or defibrillator (CRT-D): Leadless PPM; Generator explant (GE), and Lead extraction (LE). Results: A 13.8% drop in CIED admissions was recorded between 2019 and 2020 (p<0.01). Fewer procedures involving PPM, ICD, CRT-P, CRT-D, LE, and GE were observed between 2019 and 2020. Leadless PPM utilization rose consistently between 2016-2020 (47.6% increase during 2020 vs 2019)(Figure). In 2020, a higher proportion of patients were classified with a Charlson Comorbidity Index score of ≥3 (severe) (47.4% in 2020 vs. 42.9% in 2016-2019, p<0.01). The table shows significantly higher complications during CIED implants with no changes in mortality related to procedures. Conclusions: Patients admitted for CIED implants in 2020 had more severe comorbidities and expressed considerable differences in complications than pre-COVID era (2016-2019), but mortality remained unchanged. Leadless PPM use increased during pandemic, as against a decrease in the use of other CIEDs.

Introduction: While Coronavirus disease 2019 (COVID-19) primarily affects the respiratory system but can impact the cardiovascular system can triggering various complications. Hypothesis: To investigate the trend in age-adjusted mortality rates (AAMRs) in patients with atrial fibrillation(AF) among COVID-19-positive patients (CPP) by race and sex. Methods: Trends in AAMRs (per 100,000) from all-cause in patients with AF between April to December 2016-2020 were evaluated via the National Inpatient Sample and the US Census Bureau. The AAMRs among CPP with AF in 2020 was also evaluated between racial and sex cohorts. Results: A gradual rise in AAMR(all causes) in patients with AF was observed between 2016-2019, with a 49.4% overall rise between 2019(271 per 100,000) and 2020(405 per 100,000) ( Table 1a and Figure ). Around 250475 COVID-19-positive patients had AF, and 24.2% of cases did not survive their hospitalization (vs. 10.9% in those without AF, p<0.01, aOR 1.457, 95% CI 1.438-1.477). Among CPP males and females with AF that died, White females and males were the oldest, while Black males and females reported the highest mean Charlson Comorbidity Index (CCI) score ( Table 1b ).Furthermore, among the CPP with AF in 2020, Hispanics reported a higher AAMR (119.6 per 100,000) than Whites(111.1 per 100,000) and Blacks(101.9 per 100,000). AAMRs in males were higher in Hispanic males (144.8 per 100,000), followed by White males (129.7 per 100,000), and Black males (110 per 100,000). However, the AAMRs in females were highest in Black females (91.3 per 100,000), followed by White females (88.3 per 100,000) and Hispanic females (87.0 per 100,000). ( Table 1c ) Conclusions: AAMRs in patients with AF are on the rise and a sharp growth was seen during the first year of the pandemic. AAMRs among CPP patients with AF were highest among Black females and Hispanic males, while White males and females were oldest and Black males and females reported the highest CCI scores.

INTRODUCTION: The relentless toll of cardiovascular disease in the United States demands a breakthrough in reliable and cost-effective prognostic markers. Amidst the limited knowledge surrounding the role of adiponectin in stable coronary artery disease (CAD), this study aims to unveil its power in predicting all-cause mortality and major adverse cardiovascular events (MACE) among patients with stable coronary artery disease (CAD). METHODS: We systematically screened PubMed, Scopus, and Google Scholar for articles until May 2023 to identify relevant studies. Random-effects model estimated the pooled odds ratio (OR) with 95% confidence intervals (CI), and I2 statistics assessed heterogeneity. The leave-one-out method was used for sensitivity analysis. RESULTS: Following the screening, five prospective studies involving 3225 patients with a median follow-up duration of 3.8 years were included. In the study population, hypertension, diabetes, hyperlipidemia, and smoking were prevalent risk factors, and common medications included angiotensin-converting enzyme inhibitors, beta-blockers, and statins. The pooled adjusted OR for all-cause mortality was 2.51 (95%CI: 1.36-4.62), with moderate heterogeneity (I2=65.51%, p=0.03), and the pooled adjusted OR for MACE was 1.04 (95%CI: 1.02-1.06), with no significant heterogeneity (I2=0%, p=0.68) (Fig. 1) . The leave-one-out sensitivity analysis showed that no single study significantly influenced the meta-analysis results, indicating robustness. CONCLUSION: Higher adiponectin levels were associated with higher odds of long-term mortality and MACE in stable CAD patients, highlighting its potential as a cost-effective marker for risk stratification and guiding management strategies. Further studies exploring the role of adiponectin can significantly impact clinical decision-making and resource allocation in cardiovascular care.

The Lewis lead is a modified ECG configuration that can enhance the amplitude of the atrial electrical activity and is useful when the atrial activity cannot be discerned in the standard ECG. The configuration involves applying the right arm electrode on the manubrium, left arm electrode to the 5th intercostal space on the right sternal border, left leg electrode over the right lower costal margin and right leg electrode in the standard position. The ECG is then interpreted in lead I and II. Herein we present a case where the Lewis lead aided in the diagnosis of complete heart block with underlying atrial fibrillation. Case Presentation: A 75 year old female with severe tricuspid regurgitation was admitted for tricuspid valve replacement. She had previous paroxysmal atrial fibrillation status post pulmonary vein isolation. The preoperative ECG revealed normal sinus rhythm. Postoperatively, ECG demonstrated a narrow complex ventricular rhythm at 70 beats per minute. No atrial activity could be clearly discerned (Image 1). The epicardial atrial wire placed intraoperatively was not functioning, therefore atrial electrogram could not be obtained. It was unclear from repeat ECGs if there was sinus arrest or atrial fibrillation in the atria. The Lewis lead was then utilized and revealed underlying atrial fibrillation (Image 1); together, this was consistent with atrial fibrillation and complete heart block with a junctional escape rhythm. The rhythm did not recover and there was progressive conduction system disease with widening of the QRS and episodes of severe bradycardia. She underwent pacemaker implantation. Discussion: By utilizing the Lewis lead we were able to establish the atrial rhythm and differentiate between atrial fibrillation and sinus arrest. The Lewis lead can also help narrow the differential for wide complex tachycardia by magnifying the p wave, thus making it easier to detect ventriculoatrial dissociation, a hallmark feature of ventricular tachycardia.

Introduction: Accurate pre-procedure localization of the premature ventricular contractions (PVCs) is critical in preparing for the ablation. So far, no tools exist for artificial intelligence guided PVC-localization. Hypothesis: Trained deep learning model will be able to predict the site of origin (SOO) of PVCs using 12 lead electrocardiogram (ECG). Methods: We analyzed 707 ECG-ablation pairs from 2403 patients who had at least one ECG flagged for PVCs in the 6 months prior to their procedure. First, we used a cohort of 100,000 ECGs without PVCs and 10,000 ECGs with PVCs to train a convolutional neural network (CNN) to isolate the ECG segments with PVCs in them from a 12-lead ECG (Figure 1). We then trained two models, one utilizing a 10-second 12-lead ECG, and the other with just the isolated PVC beats as input. The models were trained using the Keras framework with TensorFlow (Google). Results: The mean age of the patients in the cohort was 61.2 ± 15.0 years. 66.3 percent of patients underwent left ventricle ablation, 54.6 percent had outflow ablation, and 55.3 percent had ablation of sites with leftward axis (septal location for midline and left ventricle PVCs). The model trained on 10-second ECGs yielded validation and test AUCs of 0.941 and 0.931 for outflow, 0.898 and 0.891 for ventricle, and 0.863 and 0.846 for leftward axis (Figure 1A). The model trained on isolated segments containing PVC beats yielded validation and test AUCs of 0.966 and 0.957 for outflow, 0.879 and 0.907 for ventricle, and 0.846 and 0.829 for SOO for leftward axis (Figure 1B). Conclusions: We have trained an accurate convolutional neural network that can predict SOO using the surface ECG. Further fine-tuning would be needed to refine the model and develop prediction of specific sites.

Background Cardio-ankle vascular index (CAVI) is a measure of arterial stiffness associated with cardiovascular (CV) events and mortality. African American (AA) adults have a higher prevalence of CV risk factors (RFs) and adverse social determinants of health (SDOH) leading to a higher CV mortality risk than White adults. These disparities may be associated with arterial stiffness, however limited research exists on the association of CV RFs, SDOH, and CAVI among AAs. Hypotheses We hypothesized that CV RFs (eg, diabetes) and SDOH (eg, income) would be associated with CAVI among AA adults. Our secondary hypothesis was that AA adults would have a higher prevalence of abnormal CAVI scores (≥8.0) than White adults. Methods In the FAITH! HH+ study, CAVI measurements, CV RFs, and SDOH surveys were obtained. We collected CAVI readings and CV RFs from a secondary cohort of White adults (n=600), referred for echocardiography and without structural cardiac disease. The association of CV RFs, SDOH and CAVI scores among AAs was assessed via ANOVA and univariable linear regression. We compared CV RFs among both cohorts using Chi-squared tests and ANOVA, followed by comparing CAVI scores between cohorts using a multivariable linear regression model. Results In total, 48 AAs were included from the FAITH! HH+ cohort (mean age [SD]: 54.2 [11.5] years, 67.4% women). There was no significant association between CV RFs or SDOH with CAVI scores. In the 600 White adults assessed, mean age was 59.5 [14.7] years and 45.7% were women. Compared to White adults, AA participants had a lower burden of hyperlipidemia (43.5% vs 61.4%; p=0.017), but a higher burden of hypertension (73.9% vs 57.7%; p=0.031), diabetes (28.3% vs 9.3%; p<0.001), and obesity (71.7% obese vs 36.0%; p<0.001). There was no significant difference in CAVI scores between groups when adjusted for age, sex, and CV RFs (AA cohort: mean: 8.0 [1.4] vs White cohort: 8.4 [1.5]; p=0.790). Conclusions In this pilot study, SDOH and CV RFs were not associated with CAVI scores among AAs. There was no significant difference in CAVI scores between AA and White adults, despite a significantly higher burden of CV RFs in the AA cohort. Further studies are warranted to identify factors linked with onset and progression of arterial stiffness among AAs.

Introduction: Treatment options for patients with recurrent ventricular arrhythmias (VAs) refractory to pharmacotherapy and/or ablation are minimal. Although left cardiac sympathetic denervation (LCSD) is well established in long QT syndrome (LQTS) and catecholaminergic polymorphic ventricular tachycardia (CPVT), LCSD’s role in idiopathic ventricular fibrillation (IVF) is less clear. Here, we report our single-center experience regarding the early outcomes of LCSD in patients with IVF. Hypothesis: To determine the efficacy of LCSD on reducing VAs in IVF patients refractory to conventional therapy. Methods: A retrospective analysis of the electronic health record of patients with IVF between January 2000 to April 2023 was performed. Cardiac event rates [defined as arrhythmic syncope/seizure, appropriate implantable cardioverter defibrillator (ICD) therapy, sudden cardiac arrest (SCA), or sudden cardiac death (SCD)] before and after LCSD for each patient were calculated and a Wilcoxon signed rank test was performed. Results: In total, 94 patients (41% female) were classified as IVF. Overall, 15/94 patients (16%) had LCSD due to refractory VAs (60% male; mean age at LCSD 36 ± 20 years) despite beta-blocker treatment (100%) or combined drug therapy (67%). In total, 14 patients (15%) had an electrophysiology study performed before LCSD of which 10 (67%) had VAs ablation. All patients had a structurally normal heart and genetic testing performed in 14/15 patients (93%) confirmed absence of genetic cardiomyopathies and channelopathies. SCA was the sentinel event in 10 of 15 patients (67%); 14 patients (93%) had an ICD in place. The average follow-up time after LCSD was 3 ± 4 years. The VA event rate before LCSD was 4 ± 3 events per year and was reduced to 1 ± 3 per year (p<0.04) after LCSD. Patients had a median of 3.2 less events per year after LCSD (p=0.02) with 7 patients (47%) having no post-LCSD recurrences thus far while 3 (20%) patients were deemed LCSD non-responders with no reduction of event rate. Conclusions: LCSD represents a substrate-independent, anti-fibrillatory treatment option for patients with life-threatening, genetic arrhythmias. While not curative, the early outcomes of LCSD for patients with medically refractory IVF are promising.

Introduction: Recently, there have been numerous strategies for treating atrial fibrillation, including the choice of catheters However, the thermal characteristics of each catheter, particularly in terms of safety, have not been fully understood. Hypothesis: Our aim was to characterize the thermal damage to collateral tissues during 50W-HPSD ablation and 90W/4sec-vHPSD ablation using three different ablation catheters. Methods: In 28 pigs, we implanted thermocouples on the superior vena cava, close to the phrenic nerve, and on the esophageal, close to the inferior vena cava. We performed endocardial ablation near the fiducial markers of the thermocouples using three different RF catheters: ablation index (AI)-guided HPSD (Qmode) and vHPSD ablation (Qmode+) with QDOTMICRO, lesion size index-guided HPSD ablation (targeting 5.0) with TactiCath Sensor Enabled (Tacti), and AI-guided HPSD ablation (targeting 400) with Thermocool Smart Touch (STSF). We measured tissue temperatures during ablation, including maximum tissue temperature (Tmax), time to maximum tissue temperature (t-Tmax), time to achieve a lethal temperature of 50°C (t-50°C), and time to return to baseline from Tmax (t-Tbase). Results: In terms of the frequency of esophageal injury, there were no significant differences among the different catheters. However, the depth of esophageal injury from the adventitia showed a significant difference. In terms of phrenic nerve injury, Tacti had the highest frequency compared to the other catheters (100%, p=0.0012). Tmax, t-Tmax, t-50°C, and t-Tbase showed significant differences, as shown in figure. Conclusions: The thermal effects on collateral tissues differ among the three different catheters and settings. STSF and Qmode result in a gradual increase in tissue temperature, while Tacti and Qmode+ lead to a rapid temperature increase. These distinct thermal distributions may contribute to the risk of phrenic nerve and esophageal injuries.

Introduction: Common genetic variation has been linked to an increased risk of developing dilated cardiomyopathy (DCM). However, the phenotypic profile, outcomes, and biological mechanisms by which such genetic background may predispose individuals to DCM are still unknown. Hypothesis: The primary objectives of this study were to develop a DCM polygenic risk score (PRS) based on prior case control-DCM GWAS and to apply this PRS to a well clinical characterized general population. Methods: The DCM-PRS was derived from 13 DCM risk alleles that were assayed in an unselected cohort (n=1897) of unrelated Olmsted County residents age >45 years who did not have a history of heart failure (HF) or CM and underwent physical examination, echocardiography, and blood analyses. Results: The entire population was equally divided into quartiles based on the DCM-PRS. No significant differences were present in terms of age (median 62 years) and sex (48% male). However, a significant correlation was detected between the DCM-PRS and left ventricle ejection fraction (LVEF) (Beta: -2.68, p<0.001), LV end-systolic diameter (Beta: 0.22, p<0.001), and LV end-diastolic diameter (Beta: 0.14, p=0.01). During a follow-up of 16 years (IQR: 15-17), 47 subjects developed DCM. Using a 3:1 non-DCM vs DCM matched cohort, a logistic regression analysis, found a significant correlation between median DCM-PRS and DCM development [OR=2.27 (1.06, 4.85), p=0.03]. However, there was no association between the DCM-PRS and HF biomarkers (aldosterone, natriuretic peptides, ST2, Galectin-3). Conclusions: DCM-PRS correlates with decreased LVEF, increased LV dimensions, and DCM development in a general population without significant differences in baseline clinical features. The absence of correlation between the DCM-PRS and available HF biomarkers suggests that this genetic background affects LV traits and DCM development independent of these biological mechanisms.

Introduction: Atrial fibrillation (AF) is a common arrhythmia that can impair quality of life and increase cardiovascular mortality. Previous studies have shown potentially better outcomes with rate-control agents in patients with coronary artery disease (CAD). Yet, optimal treatment of AF is not yet known. Methods: Leveraging data from the AFFIRM trial, we performed a post-hoc analysis examining outcome differences in patients on rate vs. rhythm-control agents, based on CAD status. The primary outcome was defined as death from any cause; secondary outcomes included ischemic stroke, major bleeding, and hospitalization after baseline. Univariate and multivariate modeling were used to determine risk factors associated with designated outcomes. Results: Of 4060 patients enrolled, 1551 patients had CAD at baseline. There were no differences in treatment randomization based on CAD status; however, more patients with CAD had worse heart function and comorbid CHF. More patients with CAD ultimately used some form of rate-control compared to those without. Overall, CAD patients were more likely to experience death (HR 2.08 [1.79-2.42], P<0.001), specifically those on rhythm-control (HR 1.24 [1.01-1.52], P=0.04, Figure). CAD patients were also more likely to have ischemic stroke (HR 1.24 [1.00-1.53], P=0.05). When comparing CVD vs. non-CVD death, only CAD patients on rhythm-control exhibited a significantly higher rate of CVD death (HR 1.39 [1.03-1.89], P=0.03), while no differences in primary outcomes were noted for all other groups (P>0.05, Figure). In multivariate modeling, the effect of treatment arm on risk of CVD death in CAD patients diminished upon accounting for age, smoking, rhythm at randomization, first episode of AF, CHF, and LVEF<50% (HR 1.18 [0.93-1.50], P=0.17). Conclusions: AF patients with CAD on rhythm-control agents exhibited worse CVD outcomes, which may be more reflective of heart disease severity rather than treatment effects.