The Role of a Chest Computed Tomography Severity Score in CO
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The chest computed tomography (CT) characteristics of COVID-19 are important for diagnostic and prognostic purposes. The aim of this study was to investigate chest CT findings in COVID-19 patients in order to determine the optimal cut-off value of a CT severity score that can be considered a potential prognostic indicator of a severe/critical outcome.

The CT findings were evaluated by means of a severity score that included the extent (0–4 grading scale) and nature (0–4 grading scale) of CT abnormalities. The images were evaluated at 3 levels bilaterally. A receiver operating characteristics (ROC) curve was used to identify the optimal score predicting severe/critical COVID-19.

The study involved 165 COVID-19 patients (131 men [79.4%] and 34 women [20.6%] with a mean age of 61.5 ± 12.5 years), of whom 30 (18.2%) had severe/critical disease and 135 (81.8%) mild/typical disease.

The most frequent CT finding was bilateral predominantly subpleural and basilar airspace changes, with more extensive ground-glass opacities than consolidation. CT findings of consolidation, a crazy-paving pattern, linear opacities, air bronchogram, and extrapulmonary lesions correlated with severe/critical COVID-19.

The mean CT severity score was 63.95 in the severe/critical group, and 35.62 in the mild/typical group. ROC curve analysis showed that a CT severity score of 38 predicted the development of severe/critical symptoms.

A CT severity score can help the risk stratification of COVID-19 patients.