Unlabelled: COVID-19 is the clinical expression of the highly contagious severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral infection. Most patients have mild symptoms, but a significant proportion have severe or critical disease, which can include cardiac injury, sepsis, acute kidney failure and respiratory failure. It is also worth highlighting the increasing number of reported COVID-19 cases with dermatological disease/manifestations. The cutaneous clinical spectrum is wide and includes maculopapular, urticarial, varicelliform and petechial rashes, pseudo perniosis, livedo reticularis, and pityriasis rosea-like, violaceous and pustular lesions. Until the physiological mechanism is fully understood, it is important to describe these manifestations, which could help identify a typical pattern. This report describes a cutaneous manifestation in a COVID-19 patient.
Learning Points: SARS-CoV-2 presents with multiple symptoms with the dermatological manifestations currently under-recognized.Clinicians should be aware of patients presenting only with cutaneous symptoms, which in some cases are the initial clinical feature of COVID-19.
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http://dx.doi.org/10.12890/2020_001768 | DOI Listing |
Mol Ecol
January 2025
Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China.
Rhinolophus bats have been identified as natural reservoirs for viruses with global health implications, including severe acute respiratory syndrome-related coronaviruses (SARSr-CoV) and swine acute diarrhoea syndrome-related coronavirus (SADSr-CoV). In this study, we characterised the individual viromes of 603 bats to systematically investigate the diversity, abundance and geographic distribution of viral communities within R. affinis, R.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Electronics and Communication Engineering, Sri Ramakrishna Institute of Technology, Coimbatore, Tamilnadu, India, 641010.
The global spread of COVID-19, particularly through cough symptoms, necessitates efficient diagnostic tools. COVID-19 patients exhibit unique cough sound patterns distinguishable from other respiratory conditions. This study proposes an advanced framework to detect and predict COVID-19 using deep learning from cough audio signals.
View Article and Find Full Text PDFLearn Health Syst
January 2025
Department of Biomedical Informatics University of Arkansas for Medical Sciences, College of Medicine Little Rock Arkansas USA.
Objective: This project demonstrates the feasibility of connecting medical imaging data and features, SARS-CoV-2 genome variants, with clinical data in the National Clinical Cohort Collaborative (N3C) repository to accelerate integrative research on detection, diagnosis, and treatment of COVID-19-related morbidities. The N3C curated a rich collection of aggregated and de-identified electronic health records (EHR) data of over 18 million patients, including 7.5 million COVID-positive patients, seen at hospitals across the United States.
View Article and Find Full Text PDFCureus
January 2025
Graduate Medical Education, Henry Ford Health System, Detroit, USA.
Background: Virtual interviewing for fellowship training programs has been widely adopted since the COVID-19 pandemic. However, whether fellowship candidates can adequately evaluate training program culture through virtual interviews is unclear.
Objective: Our aim was to explore how pulmonary and critical care fellows ascertained program culture during virtual and in-person fellowship program recruitment interviews, with the overall goal of improving our virtual recruiting interview processes.
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