Could initial CT chest manifestation in patients hospitalized with COVID 19 pneumonia predict outcome on short term basis.

Autor:	Dola EF; Radiology Department, Faculty of Medicine, Ain Shams University., Nakhla OL; Radiology Department, Faculty of Medicine, Beni Sueif University., Alkaphoury MG; Radiology Department, Faculty of Medicine, Ain Shams University.
Jazyk:	angličtina
Zdroj:	Medicine [Medicine (Baltimore)] 2023 Jun 23; Vol. 102 (25), pp. e34115.
DOI:	10.1097/MD.0000000000034115
Abstrakt:	Chest computed tomography (CT) can be used to monitor the course of the disease or response to therapy. Therefore, our study was designed to identify chest CT manifestations that can predict the outcome of patients on short term follow-up. This was a retrospective study wherein we reviewed chest CT scans of 112 real-time reverse transcription polymerase chain reaction positive patients admitted to our hospital. All 112 patients underwent follow-up chest CT at a time interval of 4 to 42 days. Our study included 83 male and 29 female who were positive for COVID 19 infection and admitted to the hospital with positive chest CT findings. All patients underwent follow-up chest CT, and the outcomes were categorized as resolution, regression, residual fibrosis, progression, or death. These proportions were 5.4%, 48.2%, 24.1%, 14.3%, and 8%, respectively. The only significant factor in determining the complete resolution of chest CT was oligo-segmental affection (P = .0001). The main CT feature that significantly affected the regression of chest CT manifestations was diffuse nodular shadows (P = .039). The CT features noted in patients with residual fibrosis were interstitial thickening, with a P value of .017. The mono-segmental process significantly affected progression (P = .044). The significant factors for fatality were diffuse crazy paving, pleural effusion, and extra-thoracic complications (P = .033, .029, and .007, respectively). The prognostic value of the first admission CT can help assess disease outcomes in the earliest phases of onset. This can improve resource distribution. Competing Interests: The authors have no funding and conflicts of interest to disclose. (Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc.)
Databáze:	MEDLINE
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