Articles: coronavirus.
-
Eur Heart J Cardiovasc Pharmacother · Sep 2020
ReviewThe mechanistic overview of SARS-CoV-2 using angiotensin-converting enzyme 2 to enter the cell for replication: possible treatment options related to the renin-angiotensin system.
The SARS-CoV-2 pandemic is a healthcare crisis caused by insufficient knowledge applicable to effectively combat the virus. Therefore, different scientific discovery strategies need to be connected, to generate a rational treatment which can be made available as rapidly as possible. This relies on a solid theoretical understanding of the mechanisms of SARS-CoV-2 infection and host responses, which is coupled to the practical experience of clinicians that are treating patients. ⋯ AT1R antagonists counterbalance the negative consequences of angiotesnin II and, in addition, they might even be involved in preventing the cellular uptake of the virus without interfering with ACE2 function. AT1R antagonists are widely available, cheap, and safe. Therefore, we propose to consider using AT1R antagonists in the treatment of SARS-CoV-2.
-
Diabetes Metab Syndr · Sep 2020
ReviewRedefining diabetic foot disease management service during COVID-19 pandemic.
Diabetic Foot Disease (DFD) management had to be redefined during COVID-19. We aim to evaluate the impact of this on diabetic foot care services and the strategies adopted to mitigate them. ⋯ As the COVID-19 pandemic spreads worldwide, health care systems are facing the tough challenges in delivering diabetic foot service to patients. Public health guidelines and the risk of virus transmission have resulted in reconfiguration of methods to support and manage diabetic foot patients including remote consultations.
-
Diabetes Metab Syndr · Sep 2020
ReviewNeuroinvasive potential of a primary respiratory pathogen SARS- CoV2: Summarizing the evidences.
After the emergence of Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) and Middle East Respiratory Syndrome Coronavirus (MERS-CoV) in the last two decades, the world is facing its new challenge in SARS-CoV-2 pandemic with unfathomable global responses. The characteristic clinical symptoms for Coronavirus (COVID-19) affected patients are high fever, dry-cough, dyspnoea, lethal pneumonia whereas some patients also show additional neurological signs such as headache, nausea, vomiting etc. The accumulative evidences suggest that SARS-CoV-2 is not only confined within the respiratory tract but may also invade the central nervous system (CNS) and peripheral nervous system (PNS) inducing some fatal neurological diseases. Here, we analyze the phylogenetic perspective of SARS-CoV-2 with other strains of β-Coronaviridae from a standpoint of neurological spectrum disorders. ⋯ We discuss the need for modulations in clinical approach from a neurological point of view, as a measure towards reducing disease transmission, morbidity and mortality in SARS-CoV2 positive patients.
-
Evidence-based dentistry · Sep 2020
Can medical practitioners rely on prediction models for COVID-19? A systematic review.
Aim This systematic review sought to assess and scrutinise the validity and practicality of published and preprint reports of prediction models for the diagnosis of coronavirus disease 2019 (COVID-19) in patients with suspected infection, for prognosis of patients with COVID-19, and for identifying individuals in the general population at increased risk of infection with COVID-19 or being hospitalised with the illness. Data sources A systematic, online search was conducted in PubMed and Embase. In order to do so, the authors used Ovid as the host platform for these two databases and also investigated bioRxiv, medRxiv and arXiv as repositories for the preprints of studies. ⋯ Conclusions Overall, this study did not recommend applying any of the predictive models in clinical practice yet. High risk of bias, reporting problems and (probably) optimistic reported performances are all among the reasons for the previous conclusion. Prompt actions regarding accurate data sharing and international collaborations are required to achieve more rigorous prediction models for COVID-19.