ABSTRACT
Background A new coronavirus, SARS-CoV-2, has caused the coronavirus disease-2019 (COVID-19) epidemic. Current diagnostic methods mainly include nucleic acid detection, antibody detection, antigen detection, and chest computed tomography (CT) imaging. Although these methods are crucial for the diagnosis of COVID-19, there is a lack of a rapid and economical method for preliminary screening COVID-19.Methods We measured the FeNO concentrations of 103 subjects without COVID-19 and 46 patients with COVID-19. Using machine learning (ML) method, we build a ML model based on fractional exhaled nitric oxide (FeNO) concentration and features of age, and body size for rapid preliminary screening COVID-19 suspects with low-cost.Findings The statistical analysis t-test show that there is a significant difference between the FeNO of healthy people and patients with COVID-19. The ML model can screen out the patients with COVID-19 or other diseases, which show abnormal FeNO distributions. An area under the curve of 0.982 and a sensitivity 0.917 have been achieved for preliminary screening COVID-19 suspects. This non-invasive detection method which takes in two minutes and costs less than a dollar could provide a direction for the control of the rapid spread COVID-19.Interpretation During the COVID-19 pandemic, large numbers and extensive testing of COVID-19 patients remains a problem. Public healthy efforts to limit SARS-CoV-2 spread need to find a more economical and faster screening method.
Subject(s)
COVID-19ABSTRACT
Background To analyze the clinical features of Corona Virus Disease 2019 (COVID-19) and evaluate the diagnosis and treatment.Methods Making retrospective analysis of the clinical manifestation and auxiliary examination of the 19 patients of COVID-19 which from the Liyuan Hospital ICU between January 16, 2020 and February 20, 2020.Results There were 11 male and 8 female cases among the patients. The median (range) age was 73 (38-91) years. There are 8（42.1%）patients had died , and the median duration from ICU to death was 2 (IQR: 1–10.75) days in non-survivors. Seven patients have the basic diseases which in the dead patients. Auxiliary examination: fever (68.4%), dry cough (15.8%), dyspnea (10.5%), diarrhea (5.3%). 19 cases (100%) showed ground-glass changes on Chest computed tomography. Serum Hypersensitive C-Reactive Protein (hs-CRP) and Serum Amylase A (SAA) were increased obviously of 19 cases (100%); there are 16（84.2%）cases which the total number of lymphocytes decreased; 12 cases (63%) liver function; 11 cases (58%) were deviant in fibrinogen (FIB) and D-dimer, in particular, the D-dimer was significantly higher compared with the non-survivors and survivors.Conclusion More men than women in critically ill patients. All the cases showed ground-glass changes on chest CT, and the vast majority of patients will appear fever and dry cough. Clinical lab index changes obviously, especially the D-dimer in Non-survivors.
Subject(s)
Dyspnea , Cough , Critical Illness , Fever , Virus Diseases , COVID-19 , DiarrheaABSTRACT
Objective@#To explore the imaging changes of lung lesions in patients with imported COVID-19 patients when reaching the discharge standard.@*Method@#The clinical and CT imaging data of 60 patients with imported COVID-19 cured and discharged from January to February 2020 in Anhui Province were retrospectively collected. The clinical characteristics of the patients and the characteristics of chest CT images at discharge were analyzed.@*Results@#Fever (57 cases) and cough (55 cases) were the main symptoms in 60 patients. At the initial diagnosis, 5 cases were mild, 53 were ordinary, and 2 were severe. In 5 light patients, 3 cases were negative in the whole course of CT examination, 2 cases were negative in the first time and abnormal in the second time. . The first CT imaging features of 55 patients (53 common type and 2 severe type)were mainly bilateral lung involvement (51 cases), multiple lesions (33 cases), more common under the pleura (40 cases), and ground glass opacities were the most common. (55 cases). The clinical features of chest CT in clinical outcomes are that the ground glass shadow in the lung gradually fades and was completely absorbed (19 cases); the scope of ground glass shadow in the lung expanded and progressed to crazy-paving, consolidation shadow, and the lesion gradually absorbs again followed by Fibrous cord shadows (27 cases); ground-glass opacities in the lungs quickly progressed to a consolidation and then slowly absorbed . Most of the lesions were accompanied by more residual fibrous cord shadows (4 cases). In 2 severe patients, the lesions in the lungs were larger ground glass, and a big amount of fibrous foci remained after slowly absorption.@*Conclusion@#Chest CT plays an important role in the diagnosis and treatment of imported COVID-19, and the degree of lung involvement seen on CT images is in good agreement with clinical outcome.
ABSTRACT
Novel coronavirus (2019-nCoV) caused an outbreak of corona virus disease 2019 (COVID-19) from December 2019 in China. 2019-nCoV which was identified is a kind of beta coronavirus belongs to one of four coronavirus genera. Except 2019-nCoV, two other beta coronavirus, severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV) are also quite harmful to human beings. 2019-nCoV uses the same cell entry receptor, angiotensin-converting enzyme 2 (ACE2), as SARS-CoV. And dipeptidyl peptidase 4 (DPP4) or CD26 is the cell receptor for MERS-CoV. The expression of ACE2 was found to have obvious positive expression in human corneal and conjunctival epithelium, and corneal endothelium. DPP4 activity was presented in normal animal conjunctival epithelium and fibroblasts of the subjacent connective tissue. It was also presented in the whole corneal epithelium and tear fluid of animal with severe injured corneas. The two receptors, ACE2 and DPP4, involve in many cellular signaling pathways and pathophysiological processes. Their expression in the cells of ocular surface may be an access route of corona virus in eye, which provides clues to elucidating the pathogenesis of corona virus in the eyeballs.