Neuroepithelial Structures Associated With Neurogenous Subgemmal Plaque Of The Tongue: An Autopsy Finding.

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Neuroepithelial structures associated with neurogenous subgemmal plaque of the tongue: an autopsy finding

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SARS-CoV-2 detection and sequencing in heart tissue associated with myocarditis and persistent arrhythmia: A case report

Background: SARS-CoV-2 uses the human cell receptor angiotensin-converting enzyme (ACE2). ACE2 is widely present in the cardiovascular system including the myocardium and the conduction system. COVID-19 patients that present severe symptoms have been reported to have complications involving myocardial injuries caused by the virus. Here we report the detection of SARS-CoV-2 by whole genome sequencing in the endocardium of a patient with severe bradycardia. Case presentation: We report a case of a 34-year-old male patient with COVID-19 tested by PCR, he started with gastrointestinal symptoms, however, he quickly deteriorated his hemodynamic state by means of myocarditis and bradycardia. After performing an endocardium biopsy, it was possible to identify the presence of SARS-CoV-2 in the heart tissue and to sequence its whole genome using the ARTIC-Network protocol and a modified tissue RNA extraction method. The patient’s outcome was improved after a permanent pacemaker was implanted. Conclusions: It was possible to identify a SARS-CoV-2 clade 20A in the endocardium of the reported patient

WHO Global Situational Alert System: a mixed methods multistage approach to identify country-level COVID-19 alerts

Background Globally, since 1 January 2020 and as of 24 January 2023, there have been over 664 million cases of COVID-19 and over 6.7 million deaths reported to WHO. WHO developed an evidence-based alert system, assessing public health risk on a weekly basis in 237 countries, territories and areas from May 2021 to June 2022. This aimed to facilitate the early identification of situations where healthcare capacity may become overstretched.Methods The process involved a three-stage mixed methods approach. In the first stage, future deaths were predicted from the time series of reported cases and deaths to produce an initial alert level. In the second stage, this alert level was adjusted by incorporating a range of contextual indicators and accounting for the quality of information available using a Bayes classifier. In the third stage, countries with an alert level of ‘High’ or above were added to an operational watchlist and assistance was deployed as needed.Results Since June 2021, the system has supported the release of more than US$27 million from WHO emergency funding, over 450 000 rapid antigen diagnostic testing kits and over 6000 oxygen concentrators. Retrospective evaluation indicated that the first two stages were needed to maximise sensitivity, where 44% (IQR 29%–67%) of weekly watchlist alerts would not have been identified using only reported cases and deaths. The alerts were timely and valid in most cases; however, this could only be assessed on a non-representative sample of countries with hospitalisation data available.Conclusions The system provided a standardised approach to monitor the pandemic at the country level by incorporating all available data on epidemiological analytics and contextual assessments. While this system was developed for COVID-19, a similar system could be used for future outbreaks and emergencies, with necessary adjustments to parameters and indicators