publication . Article . Preprint . Conference object . 2020

Association of radiologic findings with mortality of patients infected with 2019 novel coronavirus in Wuhan, China

Ming-Li Yuan; Wen Yin; Zhaowu Tao; Weijun Tan; Yi Hu;
Open Access
  • Published: 01 Mar 2020
  • Publisher: Cold Spring Harbor Laboratory
AbstractBackgroundRadiologic characteristics of 2019 novel coronavirus (2019-nCoV) infected pneumonia (NCIP) which had not been fully understood are especially important for diagnosing and predicting prognosis.PurposeTo summarize the clinical and radiologic characteristics of NCIP cases and analyze the association of radiologic findings with mortality cases.Material and methodsWe retrospective studied 27 consecutive patients who were confirmed NCIP, the clinical characteristics and CT image findings were collected, and the association of radiologic findings with mortality of patients was evaluated.Results27 patients included 12 men and 15 women, with median age of 60 years (IQR 47-69). 17 patients discharged in recovered condition and 10 patients died in hospital. The median age of mortality group was higher compared to survival group (68 (IQR 63-73) vs 55 (IQR 35-60), P = 0.003). The comorbidity rate in mortality group was significantly higher than in survival group (80% vs 29%, P = 0.018). The predominant CT characteristics consisted of ground glass opacity (67%), bilateral sides involved (86%), both peripheral and central distribution (74%), and lower zone involvement (96%). The median CT score of mortality group was higher compared to survival group (30 (IQR 7-13) vs 12 (IQR 11-43), P = 0.021), with more frequency of consolidation (40% vs 6%, P = 0.047) and air bronchogram (60% vs 12%, P = 0.025). An optimal cutoff value of a CT score of 24.5 had a sensitivity of 85.6% and a specificity of 84.5% for the prediction of mortality.Conclusions2019-nCoV was more likely to infect elderly people with chronic comorbidities. CT findings of NCIP were featured by predominant ground glass opacities mixed with consolidations, mainly peripheral or combined peripheral and central distributions, bilateral and lower lung zones being mostly involved. A simple CT scoring method was capable to predict mortality.
Fields of Science and Technology classification (FOS)
03 medical and health sciences, 0302 clinical medicine, 030212 general & internal medicine, 030218 nuclear medicine & medical imaging
free text keywords: Research Article, Physical Sciences, Materials Science, Material Properties, Optical Properties, Opacity, Research and Analysis Methods, Imaging Techniques, Neuroimaging, Computed Axial Tomography, Biology and Life Sciences, Neuroscience, Medicine and Health Sciences, Diagnostic Medicine, Diagnostic Radiology, Tomography, Radiology and Imaging, Materials, Amorphous Solids, Glass, Pulmonology, Pneumonia, Pleural Effusion, Pulmonary Imaging, Population Biology, Population Metrics, Death Rates, Infectious Diseases, Viral Diseases, SARS, Multidisciplinary, COVID-19 ; Glass ; Pulmonary imaging ; Pleural effusion ; Computed axial tomography ; Pneumonia ; SARS ; Death rates ; Opacity, Medicine, R, Science, Q, Pneumonia, medicine.disease, medicine, Internal medicine, medicine.medical_specialty, business.industry, business, Zones of the lung, Air bronchogram, Comorbidity, Lower zone, Optimal cutoff, Ground-glass opacity, medicine.symptom, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Receiver operating characteristic, Diabetes mellitus, Gastroenterology, Predictive value of tests, Retrospective cohort study, Pleural effusion
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