Publications by authors named "Elliott M. Antman"

Background: Epistaxis is common with antithrombotic therapy and is often troublesome to patients, yet its frequency, severity, and outcomes are poorly characterized.

Methods And Results: Effective Anticoagulation with Factor Xa Next Generation in Atrial Fibrillation-Thrombolysis in Myocardial Infarction 48 (ENGAGE AF-TIMI 48) randomized 21 105 patients with atrial fibrillation and CHADS2 risk score ≥2 to higher-dose edoxaban regimen (60 mg daily, dose-reduced to 30 mg), lower-dose edoxaban regimen (30 mg, dose reduced to 15 mg, daily), or warfarin. Bleeds were adjudicated using International Society on Thrombosis and Haemostasis criteria.

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Background: Primary results from randomized clinical trials (RCT) only inform on the average treatment effect in the studied population, and it is critical to understand how treatment effect varies across subpopulations. In this paper we describe a clustering-based approach for the assessment of Heterogeneity of Treatment Effect (HTE) over patient phenotypes, which maintains the unsupervised nature of classical subgroup analysis while jointly accounting for relevant patient characteristics.

Methods: We applied phenotype-based stratification in the ENGAGE AF-TIMI 48 trial, a non-inferiority trial comparing the effects of higher-dose edoxaban regimen (direct anticoagulant) versus warfarin (vitamin K antagonist) on a composite endpoint of stroke and systemic embolism in 14,062 patients with atrial fibrillation.

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Article Synopsis
  • Heart failure is a common issue for patients with atrial fibrillation, making risk assessment crucial for clinicians.
  • This study analyzed data from three large trials to evaluate how well NT-proBNP, hs-cTnT, and GDF-15 predict heart failure risk in these patients.
  • Results showed that higher levels of these biomarkers correlate with a higher risk for cardiovascular death and heart failure-related hospitalization, enhancing the predictive accuracy of clinical assessments.
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  • * The ENGAGE AF-TIMI 48 trial involved a global double-blind study with 2966 older participants, comparing two dosing regimens of edoxaban and warfarin, focusing on those without dose-reduction criteria.
  • * Key findings included a higher incidence of gastrointestinal hemorrhage associated with the 60 mg edoxaban dose, indicating the need for careful dose management in older patients on anticoagulants.
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Background: There is a need to understand the relationship between COVID-19 Convalescent Plasma (CCP) anti-SARS-CoV-2 IgG levels and clinical outcomes to optimize CCP use. This study aims to evaluate the relationship between recipient baseline clinical status, clinical outcomes, and CCP antibody levels.

Methods: The study analyzed data from the COMPILE study, a meta-analysis of pooled individual patient data from 8 randomized clinical trials (RCTs) assessing the efficacy of CCP vs.

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Background: Cardiovascular trials often use a composite end point and a time-to-first event model. We sought to compare edoxaban versus warfarin using the win ratio, which offers data complementary to time-to-first event analysis, emphasizing the most severe clinical events.

Methods: ENGAGE AF-TIMI 48 (Effective Anticoagulation With Factor Xa Next Generation in Atrial Fibrillation-Thrombolysis in Myocardial Infarction 48) was a double-blind, randomized trial in which patients with atrial fibrillation were assigned 1:1:1 to a higher dose edoxaban regimen (60/30 mg daily), a lower dose edoxaban regimen (30/15 mg daily), or warfarin.

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  • A study was conducted to develop a polygenic risk score (PRS) specifically for aortic stenosis and compare its effectiveness against traditional clinical risk factors.
  • This research involved analyzing data from large cohorts, including over 135,000 participants from the Million Veteran Program and various clinical trials between 2011 and 2020.
  • The findings indicated that the new aortic stenosis PRS, which utilized millions of genetic variants, may provide significant risk estimation for the condition compared to established clinical methods.
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  • The study investigates the effectiveness and safety of non-vitamin-K antagonist oral anticoagulants (NOACs) in patients with varying body mass index (BMI) and body weight (BW), using data from the COMBINE AF trials.
  • Results show that while the risk of stroke or embolic events decreases with higher BMI, the risk of major bleeding with NOACs remains stable across BMI levels, unlike with warfarin where it decreases.
  • Overall, NOACs demonstrate a reduced risk for both stroke/SEE and major bleeding compared to warfarin, with consistent results across different BMI groups, although benefits diminish at higher BMI for major bleeding.
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Objective: Poor medication adherence remains highly prevalent and adversely affects health outcomes. Patients frequently describe properties of the pills themselves, like size and shape, as barriers, but this has not been evaluated objectively. We sought to determine the extent to which oral medication properties thought to be influential translate into lower objectively-measured adherence.

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Background: The neutrophil-to-lymphocyte ratio (NLR) is the ratio between neutrophil and lymphocyte counts measured in peripheral blood. NLR is easily calculable based on a routine blood test available worldwide and may reflect systemic inflammation. However, the relationship between NLR and clinical outcomes in atrial fibrillation (AF) patients is not well-described.

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There is an extraordinary and increasing global burden of atrial fibrillation (AF) and obstructive sleep apnea (OSA), two conditions that frequently accompany one another and that share underlying risk factors. Whether a causal pathophysiologic relationship connects OSA to the development and/or progression of AF, or whether shared risk factors promote both conditions, is unproven. With increasing recognition of the importance of controlling AF-related risk factors, numerous observational studies now highlight the potential benefits of OSA treatment in AF-related outcomes.

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Background: The risks of heart failure (HF) events compared with stroke/systemic embolic events (SEE) or major bleeding (MB) in heart failure with reduced ejection fraction (HFrEF) vs heart failure with preserved ejection fraction (HFpEF) in a large atrial fibrillation (AF) population have not been well-studied.

Objectives: This study sought to assess HF outcomes, according to HF history and HF phenotypes (HFrEF vs HFpEF), and compare these events with SEE and MB, among patients with AF.

Methods: We analyzed patients enrolled in the ENGAGE-AF TIMI 48 (Effective Anticoagulation with Factor Xa Next Generation in AF-Thrombolysis in Myocardial Infarction 48) trial.

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Background: Atrial fibrillation (AF) is the most common arrhythmia encountered in clinical practice and is associated with significant morbidity, mortality, and financial burden. Obstructive sleep apnea (OSA) is more common in individuals with AF and may impair the efficacy of rhythm control strategies including catheter ablation. However, the prevalence of undiagnosed OSA in all-comers with AF is unknown.

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Article Synopsis
  • * Conducted within the ENGAGE AF-TIMI 48 trial, the research analyzed biomarkers like hsTnT, NT-proBNP, and GDF-15 in over 8,700 patients, focusing on their connection to hospitalizations and mortality related to HF.
  • * Findings indicate that higher initial levels and increasing or persistently high values of these biomarkers over a year are linked to a greater risk of HF events, irrespective of patients' previous HF history or heart function.
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Clinical time-to-event studies are dependent on large sample sizes, often not available at a single institution. However, this is countered by the fact that, particularly in the medical field, individual institutions are often legally unable to share their data, as medical data is subject to strong privacy protection due to its particular sensitivity. But the collection, and especially aggregation into centralized datasets, is also fraught with substantial legal risks and often outright unlawful.

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There has been an increase in the prevalence of cardiovascular diseases among young adults in the United States that has been attributed, in part, to a rise in overweight and obesity, use of combustible tobacco and unhealthy diet and exercise patterns. These factors are influenced further by socioeconomic status and other social determinants of health. In the My Research Legacy study, we examined ideal cardiovascular health in young adults aged 18- <50 years with cardiovascular disease using the Life's Simple 7 survey and data from digital health devices.

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Artificial intelligence (AI) algorithms are being applied across a large spectrum of everyday life activities. The implementation of AI algorithms in clinical practice has been met with some skepticism and concern, mainly because of the uneasiness that stems, in part, from a lack of understanding of how AI operates, together with the role of physicians and patients in the decision-making process; uncertainties regarding the reliability of the data and the outcomes; as well as concerns regarding the transparency, accountability, liability, handling of personal data, and monitoring and system upgrades. In this viewpoint, we take these issues into consideration and offer an integrated regulatory framework to AI developers, clinicians, researchers, and regulators, aiming to facilitate the adoption of AI that rests within the FDA's pathway, in research, development, and clinical medicine.

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Importance: COVID-19 convalescent plasma (CCP) is a potentially beneficial treatment for COVID-19 that requires rigorous testing.

Objective: To compile individual patient data from randomized clinical trials of CCP and to monitor the data until completion or until accumulated evidence enables reliable conclusions regarding the clinical outcomes associated with CCP.

Data Sources: From May to August 2020, a systematic search was performed for trials of CCP in the literature, clinical trial registry sites, and medRxiv.

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Importance: Identifying which patients with COVID-19 are likely to benefit from COVID-19 convalescent plasma (CCP) treatment may have a large public health impact.

Objective: To develop an index for predicting the expected relative treatment benefit from CCP compared with treatment without CCP for patients hospitalized for COVID-19 using patients' baseline characteristics.

Design, Setting, And Participants: This prognostic study used data from the COMPILE study, ie, a meta-analysis of pooled individual patient data from 8 randomized clinical trials (RCTs) evaluating CCP vs control in adults hospitalized for COVID-19 who were not receiving mechanical ventilation at randomization.

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Background: To compare the efficacy and safety of edoxaban vs warfarin in high-risk subgroups.

Methods: ENGAGE AF-TIMI 48 was a multicenter randomized, double-blind, controlled trial in 21,105 patients with atrial fibrillation (AF) within 12 months and CHADS score >2 randomized to higher-dose edoxaban regimen (HDER) 60 mg/reduced 30 mg, lower-dose edoxaban regimen (LDER) 30 mg/reduced 15 mg, or warfarin, and followed for 2.8 years (median).

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Aims: In patients with atrial fibrillation (AF), peripheral artery disease (PAD) is associated with higher rates of stroke and bleeding. Both higher dose edoxaban (60/30 mg) and lower dose edoxaban (30/15 mg) were non-inferior to warfarin for stroke and systemic embolism (SSE) and significantly reduced major bleeding in AF patients in the global study to assess the safety and effectiveness of edoxaban vs standard practice of dosing with warfarin in patients with atrial fibrillation (ENGAGE AF-TIMI 48) trial. Whether the efficacy and safety of these dosing strategies vs.

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Objective: Long-term adherence to evidence-based medications in cardiometabolic diseases remains poor, despite extensive efforts to develop and test interventions and deploy clinician performance incentives. The limited success of interventions may be due to ignored factors such as patients' experience of medication-taking. Despite being potentially addressable by clinicians, these factors have not been sufficiently explored, which is particularly important as patients use increasing numbers of medications.

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Background: Studies relying on self-reported sleep data suggest that there is an association between short and long sleep duration and less than ideal cardiovascular health. Evidence regarding the feasibility of using digital health devices to measure sleep duration and assess its relationship to ideal cardiovascular health are lacking. The objective of the present study was to utilize digital health devices to record sleep duration and examine the relationship between sleep duration and ideal cardiovascular health.

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