Articles: coronavirus.
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Cardiovasc. Pathol. · Nov 2020
Analysis of cardiopulmonary findings in COVID-19 fatalities: High incidence of pulmonary artery thrombi and acute suppurative bronchopneumonia.
Since its recognition in December 2019, coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 has rapidly spread globally causing a pandemic that represents the greatest medical challenge in decades. The aim of the study was to evaluate the spectrum of cardiopulmonary pathology of COVID-19 based on (non-minimal invasive) autopsies performed on 14 COVID-19 decedents. Bilateral diffuse alveolar damage (DAD) was found in all patients. ⋯ Acute myocardial infarction was found as concurrent cause of death in 3 (21.4%) patients, and significant cardiac hypertrophy (heart weight 750 g) was present in 1 (7.1%) patient with ATTR-positive cardiac amyloidosis. The autopsy findings confirm that COVID-19 is a systemic disease, with major involvement of the lungs, that increases the risk of cardiac and vascular complications including acute myocardial injury and thrombotic/thromboembolic events. Secondary acute bronchopneumonia is a common complication in patients with COVID-19 and may be the major cause of death.
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Lancet Child Adolesc Health · Nov 2020
Determining the optimal strategy for reopening schools, the impact of test and trace interventions, and the risk of occurrence of a second COVID-19 epidemic wave in the UK: a modelling study.
As lockdown measures to slow the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection begin to ease in the UK, it is important to assess the impact of any changes in policy, including school reopening and broader relaxation of physical distancing measures. We aimed to use an individual-based model to predict the impact of two possible strategies for reopening schools to all students in the UK from September, 2020, in combination with different assumptions about relaxation of physical distancing measures and the scale-up of testing. ⋯ None.
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For 20 years, telemedicine has been waiting in the wings for its time in the spotlight. The Coronavirus Disease 2019 (COVID-19) pandemic, with its emphasis on personal protective equipment (PPE) and reducing high-risk contacts, was the catalyst needed to bring telemedicine into mainstream consciousness and acceptance. ⋯ We propose that the use of consumer products sourced from local vendors is a viable solution for telemedicine systems focusing on speed, reducing costs, and ease of deployment. Future work will focus on studying its performance characteristics vs. other systems in an evolving landscape.
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Mayo Clinic proceedings · Nov 2020
Artificial Intelligence ECG to Detect Left Ventricular Dysfunction in COVID-19: A Case Series.
Coronavirus disease 2019 (COVID-19) can result in deterioration of cardiac function, which is associated with high mortality. A simple point-of-care diagnostic test to screen for ventricular dysfunction would be clinically useful to guide management. We sought to review the clinical experience with an artificial intelligence electrocardiogram (AI ECG) to screen for ventricular dysfunction in patients with documented COVID-19. ⋯ One other patient had a pre-existing EF less than or equal to 40%, accurately detected by the algorithm before and after COVID-19 diagnosis, and another was found to have a low EF by AI ECG and echocardiography with the COVID-19 diagnosis. The area under the curve for detection of EF less than or equal to 40% was 0.95. This case series suggests that the AI ECG, previously shown to detect ventricular dysfunction in a large general population, may be useful as a screening tool for the detection of cardiac dysfunction in patients with COVID-19.
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Mayo Clinic proceedings · Nov 2020
Correlations Between COVID-19 Cases and Google Trends Data in the United States: A State-by-State Analysis.
To evaluate whether a digital surveillance model using Google Trends is feasible for obtaining accurate data on coronavirus disease 2019 and whether accurate predictions can be made regarding new cases. ⋯ This study documents the feasibility of syndromic surveillance of internet search terms to monitor new infectious diseases such as coronavirus disease 2019. This information could enable better preparation and planning of health care systems.