Meta-Analysis Comparing Frequency of Overweight Versus Normal Weight in Patients With New-Onset Heart Failure.

Association between obesity and new-onset heart failure (HF) has repeatedly been established. Less is known about the risk of overweight with the development of HF. The aim of this systematic review and meta-analysis was to explore the association between overweight, obesity, and the incidence of new-onset HF.

Association between short and long sleep durations and cardiovascular outcomes: a systematic review and meta-analysis.

Background: A shorter sleep duration has been identified as a risk factor for cardiovascular diseases and increased mortality. It has been hypothesized that a short sleep duration may be linked to changes in ghrelin and leptin production, leading to an alteration of stress hormone production. Here, we conducted a systematic review and meta-analysis to investigate the potential relationship between a sleep duration and cardiovascular disease mortality.

Pathway for the Management of Hyperglycemia in the Cardiac Care Unit.

Inpatient hyperglycemia has been associated with increased morbidity and mortality in critically ill patients. Optimal control of blood glucose (BG) levels using insulin infusion protocols has been shown to improve clinical outcomes. Protocols have been developed to prescribe a safe and effective rate of insulin infusion for optimal control of BG levels; however, a major obstacle in their implementation is their complexity.

Mining twitter to understand the smoking cessation barriers.

Smoking cessation is challenging and lack of positive support is a known major barrier to quitting cigarettes. Previous studies have suggested that social influences might increase smokers' awareness of social norms for appropriate behavior, which might lead to smoking cessation. Although social media use is increasing among young adults in the United States, research on the relationship between social media use and smoking cessation is lacking.

Crowdfunding for cardiovascular research.

The competition for public cardiovascular research grants has recently increased. Independent researchers are facing increasing competition for public research grant support and ultimately may need to seek alternative funding sources. Crowdfunding, a financing method of raising funds online by pooling together small donations from the online community to support a specific initiative, seems to have significant potential.

Big Data and Genome Editing Technology: A New Paradigm of Cardiovascular Genomics.

Opinion Statements: Cardiovascular diseases (CVDs) encompass a range of conditions extending from congenital heart disease to acute coronary syndrome most of which are heterogenous in nature and some of them are multiple genetic loci. However, the pathogenesis of most CVDs remains incompletely understood. The advance in genome-editing technologies, an engineering process of DNA sequences at precise genomic locations, has enabled a new paradigm that human genome can be precisely modified to achieve a therapeutic effect.

The rise of artificial intelligence and the uncertain future for physicians.

Physicians in everyday clinical practice are under pressure to innovate faster than ever because of the rapid, exponential growth in healthcare data. "Big data" refers to extremely large data sets that cannot be analyzed or interpreted using traditional data processing methods. In fact, big data itself is meaningless, but processing it offers the promise of unlocking novel insights and accelerating breakthroughs in medicine-which in turn has the potential to transform current clinical practice.

Case of pacemaker pocket infection caused by Finegoldia magna.

Finegoldia magna (formerly called Peptostreptococcus magnus) is a Gram-positive anaerobic coccus which is increasingly recognized as an opportunistic pathogen. We present a case of F. magna associated non-valvular cardiovascular device-related infection in an 83 year-old male who received a permanent pacemaker for sick sinus syndrome seven weeks prior to his presentation.

Artificial Intelligence in Precision Cardiovascular Medicine.

Artificial intelligence (AI) is a field of computer science that aims to mimic human thought processes, learning capacity, and knowledge storage. AI techniques have been applied in cardiovascular medicine to explore novel genotypes and phenotypes in existing diseases, improve the quality of patient care, enable cost-effectiveness, and reduce readmission and mortality rates. Over the past decade, several machine-learning techniques have been used for cardiovascular disease diagnosis and prediction.

Pokémon Go: digital health interventions to reduce cardiovascular risk.

Physical activity is associated with a lower risk of coronary heart disease/cardiovascular disease mortality, and current guidelines recommend physical activity for primary prevention in healthy individuals and secondary prevention in patients with coronary heart disease/cardiovascular disease. Over the last decade, playing classic video games has become one of the most popular leisure activities in the world, but is associated with a sedentary lifestyle. In the new era of rapidly evolving augmented reality technology, Pokémon Go, a well-known augmented reality game, may promote physical activity and prevent cardiovascular disease risks - that is, diabetes, obesity, and hypertension.

Presence of an arterial line improves response to simulated hypotension and pulseless electrical activity.

With pulseless electrical activity (PEA) emerging as one of the leading cardiac arrest arrhythmias, the rapid response and accurate diagnosis of PEA is essential to improve survival rates. Although the use of invasive blood pressure monitoring to more quickly detect changes in blood pressure is widespread, evidence for its use is largely anecdotal and placement is not without risk. This is a prospective, multi-center, randomized controlled trial involving 58 senior anesthesiology residents undergoing a simulation of intraoperative PEA using high-fidelity simulation.

Pancreas Adenocarcinoma: Ascites, Clinical Manifestations, and Management Implications.

Background: Ascites develops in a subset of patients with pancreatic adenocarcinoma (PAC) at presentation or as the disease advances. Limited data exist on the prognostic importance of malignant ascites in PAC. Our hypothesis is that this information will provide an understanding of the natural history and facilitate management decisions.

Genomic instability in pancreatic adenocarcinoma: a new step towards precision medicine and novel therapeutic approaches.

Pancreatic cancer is one of the most challenging cancers. Whole genome sequencing studies have been conducted to elucidate the underlying fundamentals underscoring disease behavior. Studies have identified a subgroup of pancreatic cancer patients with distinct molecular and clinical features.

Molecular signature of pancreatic adenocarcinoma: an insight from genotype to phenotype and challenges for targeted therapy.

Introduction: Pancreatic adenocarcinoma remains one of the most clinically challenging cancers despite an in-depth characterization of the molecular underpinnings and biology of this disease. Recent whole-genome-wide studies have elucidated the diverse and complex genetic alterations which generate a unique oncogenic signature for an individual pancreatic cancer patient and which may explain diverse disease behavior in a clinical setting.

Areas Covered: In this review article, we discuss the key oncogenic pathways of pancreatic cancer including RAS-MAPK, PI3KCA and TGF-β signaling, as well as the impact of these pathways on the disease behavior and their potential targetability.