Publications by authors named "Vinayak Subramanian"

A demographic shift toward an aging population is occurring worldwide. Commensurate with this trend, age-related diseases are also rising. Although aging is an immutable part of life, biological aging is a highly heterogeneous process influenced by health-related behaviors, genetics, and the environment.

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Background: Artificial intelligence (AI) enabled algorithms can detect or predict cardiovascular conditions using electrocardiogram (ECG) data. Clinical studies have evaluated ECG-AI algorithms, including a recent single-center study which evaluated outcomes when clinicians were provided with ECG-AI results. A Multicenter Pragmatic IMplementation Study of ECG-AI-Based Clinical Decision Support Software to Identify Low LVEF (AIM ECG-AI) will evaluate clinical impacts of clinical decision support software (CDSS) integrated within the electronic health record (EHR) to provide point-of-care ECG-AI results to clinicians during routine outpatient care.

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Frailty is common among older patients with heart failure (HF). The efficacy of coronary artery bypass grafting (CABG) on the risk of mortality among frail patients with ischemic cardiomyopathy and HF is uncertain, and whether frailty burden modifies the treatment benefits of CABG among these patients is unknown. We performed a post hoc analysis of the STICHES trial, a randomized trial of CABG with medical therapy vs medical therapy alone among participants with ischemic cardiomyopathy with ejection fraction ≤ 35%.

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Aim: Left ventricular (LV) global longitudinal strain (GLS) may detect subtle abnormalities in myocardial contractility among individuals with normal LV ejection fraction (LVEF). However, the prognostic implications of GLS among healthy, community-dwelling adults is not well-established.

Methods And Results: Overall, 2234 community-dwelling adults (56% women, 47% Black) with LVEF ≥50% without a history of cardiovascular disease (CVD) from the Dallas Heart Study who underwent cardiac magnetic resonance (CMR) with GLS assessed by feature tracking CMR (FT-CMR) were included.

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Article Synopsis
  • A study analyzed the impact of β-blocker (BB) therapy on patients with heart failure with preserved ejection fraction (HFpEF) regarding their exercise capacity and health-related quality of life (HRQL).
  • Out of 216 participants, 76% were using BBs; those on BB therapy were generally older and had more ischemic heart disease.
  • The findings showed that while BB use didn't improve peak exercise capacity or walking distance, it did lead to a higher anaerobic threshold and a better quality of life.
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Introduction: Radial access is the standard of care for nearly all cardiac catheterization procedures. It improves patient satisfaction, reduces the length of stay, and is associated with fewer complications. However, few devices and tools are available for the treatment of peripheral arterial disease via a transradial approach (TRA).

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Background: Coverage for cardiac rehabilitation (CR) for patients with heart failure with reduced ejection fraction was expanded in 2014, but contemporary referral and participation rates remain unknown.

Methods: Patients hospitalized for heart failure with reduced ejection fraction (≤35%) in the American Heart Association Get With The Guidelines-Heart Failure registry from 2010 to 2020 were included, and CR referral status was described as yes, no, or not captured. Temporal trends in CR referral were assessed in the overall cohort.

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Peripheral Artery disease (PAD) is a cause of significant morbidity and mortality, affecting over 200 million people world-wide. Many exciting technologies have emerged to address the unique challenges endovascular specialists face when treating lesions in this vascular bed. One of the enduring challenges has been restenosis after initial intervention.

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Nanotechnology in diabetes research has facilitated the development of novel glucose measurement and insulin delivery modalities which hold the potential to dramatically improve quality of life for diabetics. Recent progress in the field of diabetes research at its interface with nanotechnology is our focus. In particular, we examine glucose sensors with nanoscale components including metal nanoparticles and carbon nanostructures.

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A new glucose-responsive formulation for self-regulated insulin delivery was constructed by packing insulin, glucose-specific enzymes into pH-sensitive polymersome-based nanovesicles assembled by a diblock copolymer. Glucose can passively transport across the bilayer membrane of the nanovesicle and be oxidized into gluconic acid by glucose oxidase, thereby causing a decrease in local pH. The acidic microenvironment causes the hydrolysis of the pH sensitive nanovesicle that in turn triggers the release of insulin in a glucose responsive fashion.

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