Epidemiological, clinical characteristics of cases of SARS-CoV-2 infection with abnormal imaging findings

https://doi.org/10.1016/j.ijid.2020.03.040Get rights and content
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Highlights

  • • COVID-19 has a great threat to world health.

  • • We investigated clinical features of patients with abnormal imaging findings.

  • • Those with abnormal images have more obvious clinical and laboratory features.

  • • Combing clinical data with imaging scores can predict severe/critical type.

Abstract

Purpose

To investigate the epidemiological and clinical characteristics of COVID-19 patients with abnormal imaging findings.

Methods

Patients confirmed with SARS-CoV-2 infection in Zhejiang province from January 17 to February 8 who had undergone CT or X-ray were enrolled. Epidemiological and clinical data were analyzed among those with abnormal or normal imaging findings.

Results

Excluding 72 patients with normal images, 230 of 573 patients showed abnormalities affecting more than two lung lobes. The median radiographic score was 2.0, and there was a negative correlation between that score and the oxygenation index (ρ = −0.657, P < 0.001). Patients with abnormal images were older (46.65 ± 13.82), with a higher rate of coexisting condition (28.8%), a lower rate of exposure history, and longer time between onset and confirmation (5 days) than non-pneumonia patients (all P < 0.05). A higher rate of fever, cough, expectoration and headache, a lower level of lymphocytes, albumin, and serum sodium levels and a higher total bilirubin, creatine kinase, lactate dehydrogenase, and C-reactive protein levels and a lower oxygenation index were observed in pneumonia patients (all P < 0.05). Muscle ache, shortness of breath, nausea and vomiting, lower lymphocytes levels, and higher serum creatinine and radiographic score at admission were predictive factors for the severe/critical subtype.

Conclusion

Patients with abnormal images have more obvious clinical manifestations and laboratory changes. Combing clinical features and radiographic scores can effectively predict severe/critical types.

Keywords

SRAS-CoV-2
Imaging findings
Epidemiological
Clinical
Predictive factors

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1

Xiaoli Zhang, Huan Cai, Jianhua Hu contributed equally to this article.