Article ; Online: Chest CT score in COVID-19 patients: correlation with disease severity and short-term prognosis.
2020 Volume 30, Issue 12, Page(s) 6808–6817
Abstract: ... symptomatic SARS-CoV-2 patients were enrolled for this single-center analysis and chest CT examinations were ... severity of clinical categories, and disease phases. • A CT score ≥ 18 has shown to be highly predictive ... of patient's mortality in short-term follow-up. • Our multivariate analysis demonstrated that CT parenchymal ...
Abstract | Objectives: To correlate a CT-based semi-quantitative score of pulmonary involvement in COVID-19 pneumonia with clinical staging of disease and laboratory findings. We also aimed to investigate whether CT findings may be predictive of patients' outcome. Methods: From March 6 to March 22, 2020, 130 symptomatic SARS-CoV-2 patients were enrolled for this single-center analysis and chest CT examinations were retrospectively evaluated. A semi-quantitative CT score was calculated based on the extent of lobar involvement (0:0%; 1, < 5%; 2:5-25%; 3:26-50%; 4:51-75%; 5, > 75%; range 0-5; global score 0-25). Data were matched with clinical stages and laboratory findings. Survival curves and univariate and multivariate analyses were performed to evaluate the role of CT score as a predictor of patients' outcome. Results: Ground glass opacities were predominant in early-phase (≤ 7 days since symptoms' onset), while crazy-paving pattern, consolidation, and fibrosis characterized late-phase disease (> 7 days). CT score was significantly higher in critical and severe than in mild stage (p < 0.0001), and among late-phase than early-phase patients (p < 0.0001). CT score was significantly correlated with CRP (p < 0.0001, r = 0.6204) and D-dimer (p < 0.0001, r = 0.6625) levels. A CT score of ≥ 18 was associated with an increased mortality risk and was found to be predictive of death both in univariate (HR, 8.33; 95% CI, 3.19-21.73; p < 0.0001) and multivariate analysis (HR, 3.74; 95% CI, 1.10-12.77; p = 0.0348). Conclusions: Our preliminary data suggest the potential role of CT score for predicting the outcome of SARS-CoV-2 patients. CT score is highly correlated with laboratory findings and disease severity and might be beneficial to speed-up diagnostic workflow in symptomatic cases. Key points: • CT score is positively correlated with age, inflammatory biomarkers, severity of clinical categories, and disease phases. • A CT score ≥ 18 has shown to be highly predictive of patient's mortality in short-term follow-up. • Our multivariate analysis demonstrated that CT parenchymal assessment may more accurately reflect short-term outcome, providing a direct visualization of anatomic injury compared with non-specific inflammatory biomarkers. |
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MeSH term(s) | Adult ; Betacoronavirus ; COVID-19 ; Coronavirus Infections/diagnosis ; Coronavirus Infections/epidemiology ; Female ; Humans ; Italy/epidemiology ; Lung/diagnostic imaging ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/epidemiology ; Prognosis ; Retrospective Studies ; SARS-CoV-2 ; Severity of Illness Index ; Tomography, X-Ray Computed/methods |
Keywords | covid19 |
Language | English |
Publishing date | 2020-07-04 |
Publishing country | Germany |
Document type | Journal Article |
ZDB-ID | 1085366-2 |
ISSN | 1432-1084 ; 0938-7994 ; 1613-3749 |
ISSN (online) | 1432-1084 |
ISSN | 0938-7994 ; 1613-3749 |
DOI | 10.1007/s00330-020-07033-y |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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