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The Clinical and Chest CT Features Associated With Severe and Critical COVID-19 Pneumonia

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The Clinical and Chest CT Features Associated With Severe and Critical COVID-19 Pneumonia

Kunhua Li et al. Invest Radiol.

Abstract

Objective: To investigate the clinical and CT features associated with severe and critical Corona Virus Disease 2019 (COVID-19) pneumonia.

Materials and methods: Eighty-three patients with COVID-19 pneumonia including 25 severe/critical cases and 58 ordinary cases were enrolled. The chest CT images and clinical data of them were reviewed and compared. The risk factors associated with disease severity were analyzed.

Results: Compared with the ordinary patients, the severe/critical patients had older ages, higher incidence of comorbidities, cough, expectoration, chest pain and dyspnea. The incidences of consolidation, linear opacities, crazy-paving pattern and bronchial wall thickening in severe/critical patients were significantly higher than those of the ordinary patients. Besides, severe/critical patients showed higher incidences of lymph node enlargement, pericardial effusion and pleural effusion than the ordinary patients. The CT scores of severe/critical patients were significantly higher than those of the ordinary patients (P < 0.001). Receiver operating characteristic (ROC) curve showed that the sensitivity and specificity of CT Score were 80.0% and 82.8% respectively for the discrimination of the two types. The clinical factors of age > 50 years old, comorbidities, dyspnea, chest pain, cough, expectoration, decreased lymphocytes and increased inflammation indicators were risk factors for severe/critical COVID-19 pneumonia. CT findings of consolidation, linear opacities, crazy-paving pattern, bronchial wall thickening, high CT scores and extrapulmonary lesions were features of severe/critical COVID-19 pneumonia.

Conclusions: There are significant differences in clinical symptoms, laboratory examinations and CT manifestations between the ordinary patients and the severe/critical patients. Many factors are related to the severity of the disease, which can help clinicians to judge the severity of the patient and evaluate the prognosis.

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