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Corresponding Author

Basma EL Ged

Subject Area

Radiodiagnosis

Article Type

Original Study

Abstract

Objective: to study the correlation between peri-coronary fat thickness (PCFT) and clinical disease severity in patients with proved COVID-19, as well as post COVID-19 scarring.

Patients and methods: This retrospective comparative study included 202 patients with pulmonary COVID-19 who were referred for Chest High Resolution Computed Tomography (HRCT). Patients were further classified into Group A who had non-severe covid 19 disease and group B who had severe and critical disease according to WHO criteria. CT severity score (CSS), Total fibrosis score (TFS) and peri coronary fat thickness (PCFT) were evaluated and compared for both groups in the CT scans of the chest.

Results: Male gender was associated with higher CSS and PCFT indices. Male gender, PCFT, and CSS proved to be significant risk factors to develop severe clinical disease with high accuracy (ROC of AUC =96%).  On applying univariable analysis PCFT appeared to be a significant risk factor to predict post COVID fibrosis. However, the final model using multivariable logistic regression analysis revealed that age, clinical disease severity and CSS were the significant risk factors to predict post-COVID fibrosis with high accuracy (ROC of AUC=76.5%).

Conclusion: Peri coronary fat thickness could predict pulmonary disease severity in COVID-19 patients, but it failed to predict post COVID scarring. Instead, age, clinical disease severity and CSS proved to be the significant risk to predict post COVID-19 scarring.

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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