Articles: sars-cov-2.
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This study aimed to develop a deep-learning model and a risk-score system using clinical variables to predict intensive care unit (ICU) admission and in-hospital mortality in COVID-19 patients. ⋯ Deep learning and the resultant risk score have the potential to provide frontline physicians with quantitative tools to stratify patients more effectively in time-sensitive and resource-constrained circumstances.
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To differentiate between respiratory infections caused by SARS-CoV-2 and other respiratory pathogens during the COVID-19 outbreak in Wuhan, we simultaneously tested for SARS-CoV-2 and pathogens associated with CAP to determine the incidence and impact of respiratory coinfections in COVID-19 patients. ⋯ Coinfections in COVID-19 patients are common. The coinfecting pathogens can be detected at variable intervals during COVID-19 disease course and remain an important consideration in targeted treatment strategies for COVID-19 patients.
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With social distancing being a key preventative measure of COVID-19, proper provision of healthcare services becomes a challenge as healthcare professionals are concerned about the risk of potential infection. Telemedicine, a practice that uses telecommunication networks for the delivery of healthcare services and medical education, has been adopted by several countries and has shown to provide positive outcomes. This concept is poorly practiced in African Countries compared to other countries of the world. This paper reiterates the need for the expansion of telemedical systems in Africa for the dual goals of COVID-19 prevention and provision of quality healthcare services to people.
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There remains diagnostic uncertainty regarding the sensitivity of reverse transcription polymerase chain reaction in detection of SARS-CoV-2 from nasopharyngeal specimens. We present a case where two nasopharyngeal specimens were negative, followed by a positive sputum sample. Serial testing for COVID-19 is indicated in patients with high pretest probability of disease.