ResearchPad - 2269 https://www.researchpad.co Default RSS Feed en-us © 2020 Newgen KnowledgeWorks <![CDATA[Challenges in the management of older patients with acute coronary syndromes in the COVID-19 pandemic]]> https://www.researchpad.co/article/elastic_article_16309 Ischaemic heart disease (IHD), in particular acute coronary syndrome (ACS), comprising ST-elevation myocardial infarction, non-ST-elevation myocardial infarction and unstable angina, is the leading cause of death worldwide. Age is a major predictor of adverse outcome following ACS. COVID-19 infection seems to escalate the risk in older patients with heart disease. Increasing odds of in-hospital death is associated with older age following COVID-19 infection. Importantly, it seems older patients with comorbidities such as cardiovascular disease (CVD), in particular IHD, diabetes and hypertension, are at the highest risk of mortality following COVID-19 infection. The evidence is sparse on the optimal care of older patients with ACS with lack of robust randomised controlled trials. In this setting, with the serious threat imposed by the COVID-19 pandemic in the context of rapidly evolving knowledge with much unknown, it is important to weigh the risks and benefits of treatment strategies offered to older patients. In cases where risks outweigh the benefits, it might not be an unreasonable option to treat such patients with a conservative or a palliative approach. Further evidence to elucidate whether invasive management is beneficial in older patients with ACS is required out-with the COVID-19 pandemic. Though it is hoped that the actual acute phase of COVID-19 infection will be short lived, it is vital that important clinical research is continued, given the long-term benefits of ongoing clinical research for patients with long-term conditions, including CVD. This review aimed to evaluate the challenges and the management strategies in the care of older patients presenting with ACS in the context of the COVID-19 pandemic.

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<![CDATA[Cardiovascular manifestations and treatment considerations in COVID-19]]> https://www.researchpad.co/article/Nb4dd835f-e82c-49b6-8c5b-47f63ec14eec Since its recognition in December 2019, covid-19 has rapidly spread globally causing a pandemic. Pre-existing comorbidities such as hypertension, diabetes, and cardiovascular disease are associated with a greater severity and higher fatality rate of covid-19. Furthermore, COVID-19 contributes to cardiovascular complications, including acute myocardial injury as a result of acute coronary syndrome, myocarditis, stress-cardiomyopathy, arrhythmias, cardiogenic shock, and cardiac arrest. The cardiovascular interactions of COVID-19 have similarities to that of severe acute respiratory syndrome, Middle East respiratory syndrome and influenza. Specific cardiovascular considerations are also necessary in supportive treatment with anticoagulation, the continued use of renin-angiotensin-aldosterone system inhibitors, arrhythmia monitoring, immunosuppression or modulation, and mechanical circulatory support. ]]> <![CDATA[Computational fluid dynamics modelling in cardiovascular medicine]]> https://www.researchpad.co/article/5af7d354463d7e7c0130519f

This paper reviews the methods, benefits and challenges associated with the adoption and translation of computational fluid dynamics (CFD) modelling within cardiovascular medicine. CFD, a specialist area of mathematics and a branch of fluid mechanics, is used routinely in a diverse range of safety-critical engineering systems, which increasingly is being applied to the cardiovascular system. By facilitating rapid, economical, low-risk prototyping, CFD modelling has already revolutionised research and development of devices such as stents, valve prostheses, and ventricular assist devices. Combined with cardiovascular imaging, CFD simulation enables detailed characterisation of complex physiological pressure and flow fields and the computation of metrics which cannot be directly measured, for example, wall shear stress. CFD models are now being translated into clinical tools for physicians to use across the spectrum of coronary, valvular, congenital, myocardial and peripheral vascular diseases. CFD modelling is apposite for minimally-invasive patient assessment. Patient-specific (incorporating data unique to the individual) and multi-scale (combining models of different length- and time-scales) modelling enables individualised risk prediction and virtual treatment planning. This represents a significant departure from traditional dependence upon registry-based, population-averaged data. Model integration is progressively moving towards ‘digital patient’ or ‘virtual physiological human’ representations. When combined with population-scale numerical models, these models have the potential to reduce the cost, time and risk associated with clinical trials. The adoption of CFD modelling signals a new era in cardiovascular medicine. While potentially highly beneficial, a number of academic and commercial groups are addressing the associated methodological, regulatory, education- and service-related challenges.

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