1,721,192 research outputs found

    Nobori biolimus-eluting stent vs. permanent polymer drug-eluting stents in patients undergoing percutaneous coronary intervention

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    Permanent polymer coatings on drug-eluting stents (DES) surface have been identified as triggers of adverse events following percutaneous coronary intervention (PCI). However, efficacy and safety data for the Nobori biolimus-eluting stent (BES), a biodegradable polymer DES, are limited, so the aim of this study was to evaluate clinical outcomes associated with the Nobori BES compared with permanent polymer DES in patients undergoing PCI

    Statins and elderly: from clinical trials to daily practice

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    Elderly patients represent a rising social problem, due to the exponential growth of persons in these age groups and their atherothrombotic burden. The management of this population still raises several challenges, requiring a balance between elevated cardiovascular risk, clinical complexity, frailty and co-morbidities. Statins represent a main pillar in cardiovascular prevention, lowering serum cholesterol and reducing mortality and ischemic events, especially in high-risk patients. Yet, elderly patients have often been excluded from major clinical trials of statins, thus limiting the experience with these drugs in advanced age. Moreover, important barriers to the use of statins in the elderly exist due to potential risks attributed to altered metabolism, comorbidities, polypharmacy and drug-drug interactions and financial constraints. This situation has led to a "statin paradox", since high-risk elderly patients that would most benefit from the use of statins, may be undertreated with these drugs in real life. The vague indications provided by guidelines mean that this issue is still debated, especially regarding primary prevention. Nevertheless, the benefits in outcome offered by statins cannot be neglected. Efforts should be made in order to focus on the importance of statin use in the elderly and to provide clinicians with adequate tools for case by case decisions

    Impaired revascularization in a mouse model of type 2 diabetes is associated with dysregulation of a complex angiogenic-regulatory network.

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    OBJECTIVE: Diabetes is a risk factor for the development of cardiovascular diseases associated with impaired angiogenesis or increased endothelial cell apoptosis. METHODS AND RESULTS: Here it is shown that angiogenic repair of ischemic hindlimbs was impaired in Lepr(db/db) mice, a leptin receptor-deficient model of diabetes, compared with wild-type (WT) C57BL/6 mice, as evaluated by laser Doppler flow and capillary density analyses. To identify molecular targets associated with this disease process, hindlimb cDNA expression profiles were created from adductor muscle of Lepr(db/db) and WT mice before and after hindlimb ischemia using Affymetrix GeneChip Mouse Expression Set microarrays. The expression patterns of numerous angiogenesis-related proteins were altered in Lepr(db/db) versus WT mice after ischemic injury. These transcripts included neuropilin-1, vascular endothelial growth factor-A, placental growth factor, elastin, and matrix metalloproteinases implicated in blood vessel growth and maintenance of vessel wall integrity. CONCLUSIONS: These data illustrate that impaired ischemia-induced neovascularization in type 2 diabetes is associated with the dysregulation of a complex angiogenesis-regulatory network

    [Diabetes and ischemiccardiopathy]

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    Diabetes represents an independent risk factor for coronary artery disease (CAD), and the prognosis in terms of survival rates is worse for diabetic patients who have CAD with respect to those with CAD but no diabetes. An acute coronary event represents a cause of death in more than 30% of diabetics. Experimental studies suggested that the increased incidence of myocardial infarction in diabetics is due to an increased risk of developing atherosclerotic plaque with subsequent ulceration and intracoronary thrombus formation. Structural abnormalities of the coronary vessel wall were associated with an abnormal pattern of coronary flow and of coagulation abnormalities: all these abnormalities explain the epidemiological evidence of widespread and severe vascular atherosclerotic disease in diabetics. Due to the extreme complexity of ischemic vascular disease in patients with diabetes, an optimal therapeutic strategy is based on the correction of elevated blood glucose and lipid levels, of blood pressure, of platelet and coagulation abnormalities and of any other risk factor. Both percutaneous and surgical myocardial revascularization have been proved equally effective for CAD treatment in diabetes, even though a recent randomized trial has shown a significantly improved outcome after surgical revascularization. More recently the characterization of the advanced glycation end-product receptor opened new perspectives in the treatment of the complications of diabetes, and gave a new impact to the need of further investigations, through new randomized trials, of the best therapeutic options for diabetic patients

    Bivalirudin in Patients Undergoing PCI: State of Art and Future Perspectives

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    Acute coronary syndrome (ACS) represents the most common cause of death worldwide. Percutaneous coronary intervention (PCI) is the management of choice in patients with ACS and occurrence of intra-procedural thrombotic complications are an independent predictor of mortality and other major adverse cardiovascular events in patients undergoing PCI. According to current guideline, anticoagulation therapy is indicated during PCI in order to reduce the risk of thrombotic complications such as stent thrombosis. Among currently available anticoagulant drugs, bivalirudin demonstrates a lower incidence of bleeding risk, despite it is associated with an increased risk of stent thrombosis. The aim of this paper is to discuss the pharmacology of bivalirudin and the clinical evidences of its use in patients undergoing PCI for ACS

    Big Health Data and Cardiovascular Diseases: A Challenge for Research, an Opportunity for Clinical Care

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    Cardiovascular disease (CVD) accounts for the majority of death and hospitalization, health care expenditures and loss of productivity in developed country. CVD research, thus, plays a key role for improving patients' outcomes as well as for the sustainability of health systems. The increasing costs and complexity of modern medicine along with the fragmentation in healthcare organizations interfere with improving quality care and represent a missed opportunity for research. The advancement in diagnosis, therapy and prognostic evaluation of patients with CVD, indeed, is frustrated by limited data access to selected small patient populations, not standardized nor computable definition of disease and lack of approved relevant patient-centered outcomes. These critical issues results in a deep mismatch between randomized controlled trials and real-world setting, heterogeneity in treatment response and wide inter-individual variation in prognosis. Big data approach combines millions of people's electronic health records (EHR) from different resources and provides a new methodology expanding data collection in three direction: high volume, wide variety and extreme acquisition speed. Large population studies based on EHR holds much promise due to low costs, diminished study participant burden, and reduced selection bias, thus offering an alternative to traditional ascertainment through biomedical screening and tracing processes. By merging and harmonizing large data sets, the researchers aspire to build algorithms that allow targeted and personalized CVD treatments. In current paper, we provide a critical review of big health data for cardiovascular research, focusing on the opportunities of this largely free data analytics and the challenges in its realization
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