Publications by authors named "Bunch T"

Background: Radiofrequency balloon (RFB) ablation (HELIOSTAR™, Biosense Webster) has been developed to improve pulmonary vein ablation efficiency over traditional point-by-point RF ablation approaches. We aimed to find effective parameters for RFB ablation that result in chronic scar verified by late gadolinium enhancement cardiac magnetic resonance (LGE-CMR).

Methods: A chronic canine model (n = 8) was used to ablate in the superior vena cava (SVC), the right superior and the left inferior pulmonary vein (RSPV and LIPV), and the left atrial appendage (LAA) with a circumferential ablation approach (RF energy was delivered to all electrodes simultaneously) for 20 s or 60 s.

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Background: Artificial intelligence-machine learning (AI-ML) has demonstrated the ability to extract clinically useful information from electrocardiograms (ECGs) not available using traditional interpretation methods. There exists an extensive body of AI-ML research in fields outside of cardiology including several open-source AI-ML architectures that can be translated to new problems in an "off-the-shelf" manner.

Objective: We sought to address the limited investigation of which if any of these off-the-shelf architectures could be useful in ECG analysis as well as how and when these AI-ML approaches fail.

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Introduction: The impact of repeated atrial fibrillation (AF) ablations on left atrial (LA) mechanical function remains uncertain, with limited long-term follow-up data.

Methods: This retrospective study involved 108 AF patients who underwent two catheter ablations with cardiac magnetic resonance imaging (MRI) done before and 3 months after each of the ablations from 2010 to 2021. The rate of change in peak longitudinal atrial strain (PLAS) assessed LA function.

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Glass vials are the most widely used primary containers for the packaging of parenteral products due to their optical clarity, general inertness, and hermetic properties, but under certain circumstances, they can pose safety concerns. Most of these issues are related to the potential formation of glass particulates through delamination or precipitation, resulting from the chemical interaction between the drug product and the inner surface of the glass vial. Hence, it is imperative for pharmaceutical companies to conduct product-vial compatibility studies to determine the appropriate packaging/container closure system.

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Background: Ambulatory ECG (AECG) monitoring is pivotal to the diagnosis of arrhythmias and can be performed with near "real-time" notification of abnormalities. There are limited data on the relative benefit of real-time monitoring compared with traditional Holter monitoring.

Methods And Results: This is a retrospective observational analysis of University of Utah Health patients who underwent ambulatory ECG studies from 2010 to 2022.

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Introduction: Direct oral anticoagulants (DOACs) become the recommended treatment over vitamin K antagonists (VKA) in patients with non-valvular atrial fibrillation (AF). However, their effectiveness in reducing cognitive impairment and dementia compared to VKA remains unclear.

Methods: A systematic literature search was conducted on Ovid MEDLINE, EMBASE, and Cochrane Database.

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Article Synopsis
  • The 12-lead ECG is widely used for diagnosing heart conditions, but it misses many diseases that machine learning (ML) can help identify.
  • This study developed a deep learning model to detect low left ventricular ejection fraction (LVEF) using single-lead ECG data from wearable devices and compared its effectiveness to that of models trained on all 12 leads.
  • Results showed that single-lead models performed comparably to those using all 12 leads, uncovering both agreements and discrepancies in predicted LVEF across different lead configurations.
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Background: Most clinical trials define successful atrial fibrillation (AF) treatment as no AF episodes longer than 30 seconds. Yet, there has been minimal study of how patients define successful treatment and whether their perspectives align with trial outcomes.

Objectives: Survey patients with AF to identify: 1) what aspect of AF is most important to address (frequency, duration, or severity of AF episodes); 2) what AF burden would be considered acceptable to consider treatment successful; and 3) to establish patient preferences for successful treatment thresholds for a validated patient-reported outcome (PRO) score.

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Article Synopsis
  • This study analyzed data from the National Cardiovascular Data Registry to evaluate how the volume of atrial fibrillation (AF) ablation procedures performed by hospitals and physicians affects procedural success and major adverse events (MAEs).
  • Results showed that hospitals and physicians with higher procedural volumes had better success rates (98.5% success) and lower rates of complications (1.0% MAE), indicating that experience matters in these medical procedures.
  • Specifically, lower volume hospitals (Q1) had a significantly reduced likelihood of success and an increased risk of complications, suggesting that a minimum annual volume of about 190 for hospitals and 60 for physicians is important for optimal patient outcomes.
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Background: Same day discharge (SDD) following atrial fibrillation (AF) ablation procedure has emerged as routine practice, and primarily driven by operator discretion. However, the impacts of SDD on clinical outcomes, healthcare system costs, and patient reported outcomes (PROs) have not been systematically studied.

Methods: We retrospectively analyzed patients undergoing routine AF ablation procedures with SDD versus overnight observation (NSDD).

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Article Synopsis
  • Management of atrial fibrillation (AF) often focuses on alleviating symptoms, but the relationship between these symptoms and heart rhythm disturbances (like atrial tachycardia/AF) is not well understood when monitored using ambulatory electrocardiography (AECG).
  • A study analyzed AECG data from 742 patients, revealing a low symptom-rhythm correlation (SRC) of 0.39, indicating that while AT/AF events significantly increase the likelihood of symptoms, many episodes do not correspond well with reported symptoms.
  • Factors such as previous treatment for AF and lower heart rates were found to negatively impact SRC, highlighting the need for more in-depth research to better link symptoms and heart rhythms for improved patient care.
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Background: Clinically detected atrial fibrillation (AF) is associated with a significant increase in mortality and other adverse cardiovascular events. Since the advent of effective methods for AF rhythm control, investigators have attempted to determine how much these adverse prognostic AF effects could be mitigated by the restoration of sinus rhythm (SR) and whether the method used mattered.

Methods: The CABANA trial (Catheter Ablation versus Antiarrhythmic Drug Therapy for Atrial Fibrillation) randomized 2204 AF patients to ablation versus drug therapy, of which 1240 patients were monitored in follow-up using the CABANA ECG rhythm monitoring system.

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Background: The immediate impact of catheter ablation on left atrial mechanical function and the timeline for its recovery in patients undergoing ablation for atrial fibrillation (AF) remain uncertain. The mechanical function response to catheter ablation in patients with different AF types is poorly understood.

Methods: A total of 113 AF patients were included in this retrospective study.

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Article Synopsis
  • A study evaluated the use of intravenous (IV) sotalol for safely and quickly loading patients with atrial fibrillation, contrasting it with the traditional oral loading process that often requires a 3-day hospital stay.
  • The research involved 167 patients, mainly older adults, and found that 99% were admitted for sotalol initiation, achieving a short average hospital stay of 1.1 days with few adverse effects.
  • Results suggest that IV sotalol is a safe and efficient alternative for treating atrial arrhythmias; however, more research is necessary to determine the optimal hospital monitoring duration.
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Background: Leadless pacemakers represent a paradigm-changing advancement. However, they required innovative and novel device design, including the use of nitinol tines for fixation.

Objective: We aimed to understand the potential for fracture in the novel tine-based fixation mechanism.

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Atrial fibrillation (AF) is significantly associated with morbidity and mortality and erodes the quality and quantity of life. It is standard of care to treat patients with AF and an increased risk of stroke with oral anticoagulation therapy, but the more daunting question many clinicians face is whether to pursue a "rate-only" or "rhythm" control strategy. Historical studies over the years have sought to answer this question but have found no significant difference in major clinical outcomes between the two strategies.

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N-terminal cardiac myosin-binding protein C (cMyBP-C) domains (C0-C2) bind to thick (myosin) and thin (actin) filaments to coordinate contraction and relaxation of the heart. These interactions are regulated by phosphorylation of the M-domain situated between domains C1 and C2. In cardiomyopathies and heart failure, phosphorylation of cMyBP-C is significantly altered.

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Cardiac MyBP-C (cMyBP-C) interacts with actin and myosin to fine-tune cardiac muscle contractility. Phosphorylation of cMyBP-C, which reduces the binding of cMyBP-C to actin and myosin, is often decreased in patients with heart failure (HF) and is cardioprotective in model systems of HF. Therefore, cMyBP-C is a potential target for HF drugs that mimic its phosphorylation and/or perturb its interactions with actin or myosin.

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Article Synopsis
  • AI-ML is a powerful technique for extracting important clinical information from diagnostic data, like ECGs, that traditional methods may miss.
  • Recent findings indicate that AI-ML can predict patient characteristics and conditions that aren't easily identifiable by expert physicians.
  • This study aims to explore the effectiveness of existing open-source AI-ML architectures on ECG data to improve classification of low left ventricular ejection fraction (LVEF), compare their accuracy, and investigate any patient factors that might affect their performance.
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