Abstract
After December 2019 outbreak in China, the novel Coronavirus infection (COVID-19) has very quickly overflowed worldwide. Infection causes a clinical syndrome encompassing a wide range of clinical features, from asymptomatic or oligosymptomatic course to acute respiratory distress and death. In a very recent work we preliminarily observed that several laboratory tests have been shown as characteristically altered in COVID-19. We aimed to use the Corona score, a validated point-based algorithm to predict the likelihood of COVID-19 infection in patients presenting at the Emergency rooms. This approach combines chest images-relative score and several laboratory parameters to classify emergency room patients. Corona score accuracy was satisfactory, increasing the detection of positive patients’ rate.
Highlights
After December 2019 outbreak in China, the novel Coronavirus infection (COVID-19) has very quickly overflowed worldwide
The European Community, Schengen area and Italian Regions had released different policies to define the use of swab and real-time reverse transcription polymerase chain reaction (RT-PCR) as diagnostic tools
Corona score in emergency room in two ways
Summary
After December 2019 outbreak in China, the novel Coronavirus infection (COVID-19) has very quickly overflowed worldwide. Frequency of disease and fatality rate are calculated on the number of patients positive to oral, nasal, or nasopharyngeal swab. Population-scale testing for COVID-19 is one of the best ways to limit mortality rates. Millions of COVID-19 test kits will need to be processed.
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