Leukocytoclastic vasculitis after exposure to COVID-19 vaccine

Nov. 24, 2021

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Skin manifestations associated with COVID-19

Nov. 24, 2021

This article will address the main aspects of skin manifestations associated with COVID-19, based on a review of the literature published to date. Since the beginning of the pandemic, more than 1,500 articles have been published on the subject. Regarding the pathophysiology, it is believed that the same mechanisms responsible for the disease in the main target organs also act in the skin, although they are not yet fully elucidated.

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The impact of lipid-lowering medications on coronary artery plaque characteristics

Nov. 24, 2021

Atherosclerosis is the predominant cause of coronary artery disease. The last several decades have witnessed significant advances in lipid-lowering therapies, which comprise a central component of atherosclerotic cardiovascular disease prevention.

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Shared decision making and patient reported outcomes among adults with atherosclerotic cardiovascular disease, medical expenditure panel survey 2006–2015

Nov. 24, 2021

Shared decision-making (SDM), one of the pillars of patient centered care is strongly encouraged and has been incorporated into the management of atherosclerotic cardiovascular disease (ASCVD) but the expansion of its use has been limited

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Acute macular neuroretinopathy associated with COVID-19 infection

Nov. 24, 2021

To report a case of bilateral acute macular neuroretinopathy (AMN) associated with a COVID-19 infection.

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Purtscher-like retinopathy in a patient with COVID-19 and disseminated intravascular coagulation

Nov. 24, 2021

To describe a unique case of Purtscher-like retinopathy after a severe, complicated COVID-19 course which included development of disseminated intravascular coagulation (DIC).

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Physical activity, exercise and fitness for prevention and treatment of heart failure

Nov. 24, 2021

Substantial evidence supports the importance of physical activity (PA), exercise training, and cardiorespiratory fitness (CRF) in the prevention and treatment of most cardiovascular diseases (CVD), including heart failure (HF) [1][2]. Low levels of PA/CRF, as well as higher body mass indices (BMI) and obesity, are probably even more related with HF with preserved ejection fraction (EF; HFpEF) than with HF with reduced EF (HFrEF) [1]. Among patients with established HF, at least those with chronic stable HFrEF, in the United States (US), cardiac rehabilitation (CR) is a class I recommended PA intervention that irrefutably reduces the risk of subsequent hospitalizations, adverse events, and morbidity/mortality, but unfortunately very few eligible patients are attending much less completing these formal CR programs for CVD, much less HF. Although the evidence also strongly supports the benefits of PA, exercise and higher muscular and cardiorespiratory fitness for HFpEF as well as HFrEF, CR is not currently an insurance covered indication in the US for HFpEF as it is for HFrEF [2].

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Liver stiffness as measured by transient elastography is a predictor of outcomes in patients with chronic heart failure with reduced, mid-range, and recovered left-ventricular ejection fraction

Nov. 24, 2021

Transient elastography is a noninvasive method for assessing liver stiffness (LS), which can reflect right-sided filling pressure associated with passive liver congestion in patients with HF.

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Beta-blockers are associated with reverse remodeling in patients with dilated cardiomyopathy and mid-range ejection fraction

Nov. 24, 2021

Beta-blockers have been shown to induce left ventricular reverse remodeling (LVRR) in heart failure with reduced ejection fraction. This study aimed to determine whether beta-blockers could induce LVRR in patients with heart failure with mid-range ejection fraction (HFmrEF).

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Emerging role of machine learning in cardiovascular disease investigation and translations

Nov. 24, 2021

Unexpected insights and practical advances in cardiovascular disease (CVD) are being discovered by rapidly advancing developments in supercomputers and machine learning (ML) software algorithms.

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