Journal of Korean Medical Science · 2020 · 36 citations · 21 references
MedicineClinical SciencesInfectious DiseasesCritical Care MedicinePulmonologyThoracic RadiologyAcute Lung InjuryPrognostic AssessmentPleural Effusion EvaluationPneumonia Severity AssessmentPrognostic Factors AnalysisPrognostic Imaging FeaturesRadiographic Prognostic Indicators
BACKGROUND: The predictors of poor prognosis in patients with coronavirus disease 2019 (COVID-19) using computed tomography (CT) have not been investigated in a large cohort. Therefore, the purpose of this study was to investigate the adverse initial CT features to predict poor prognosis in COVID-19. METHODS: From February to April 2020, 281 COVID-19 patients who underwent CT at the time of admission were included. We divided the patients into the severe and non-severe disease groups. The severe group included patients with severe pneumonia or critical events. Intensive care unit admission or death were the critical events in this study. We compared the clinical and CT findings between the severe and non-severe groups and investigated the prognostic factors and critical events of the severe group using the regression analysis. RESULTS: = 0.007) were also significant predictors of critical events. CONCLUSION: Pleural effusion and the extent of pneumonia on initial CT scans are associated with poor prognosis in patients with COVID-19.
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Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study
Tao Chen, Di Wu, Huilong Chen et al. · BMJ · 2020 · 4.2K citations · Full text
Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection
Adam Bernheim, Xueyan Mei, Mingqian Huang et al. · Radiology · 2020 · 2.8K citations · Full text