Radiomorphological signs and clinical severity of SARS-CoV-2 lineage B.1.1.7
BJR open
; 4(1), 2022.
Article
in English
| EuropePMC | ID: covidwho-2125984
ABSTRACT
Objective:
We aimed to assess the differences in the severity and chest-CT radiomorphological signs of SARS-CoV-2 B.1.1.7 and non-B.1.1.7 variants.Methods:
We collected clinical data of consecutive patients with laboratory-confirmed COVID-19 and chest-CT imaging who were admitted to the Emergency Department between September 1– November 13, 2020 (non-B.1.1.7 cases) and March 1–March 18, 2021 (B.1.1.7 cases). We also examined the differences in the severity and radiomorphological features associated with COVID-19 pneumonia. Total pneumonia burden (%), mean attenuation of ground-glass opacities and consolidation were quantified using deep-learning research software.Results:
The final population comprised 500 B.1.1.7 and 500 non-B.1.1.7 cases. Patients with B.1.1.7 infection were younger (58.5 ± 15.6 vs 64.8 ± 17.3;p < .001) and had less comorbidities. Total pneumonia burden was higher in the B.1.1.7 patient group (16.1% [interquartile range (IQR)6.0–34.2%] vs 6.6% [IQR1.2–18.3%];p < .001). In the age-specific analysis, in patients <60 years B.1.1.7 pneumonia had increased consolidation burden (0.1% [IQR0.0–0.7%] vs 0.1% [IQR0.0–0.2%];p < .001), and severe COVID-19 was more prevalent (11.5% vs 4.9%;p = .032). Mortality rate was similar in all age groups.Conclusion:
Despite B.1.1.7 patients were younger and had fewer comorbidities, they experienced more severe disease than non-B.1.1.7 patients, however, the risk of death was the same between the two groups. Advances in knowledge Our study provides data on deep-learning based quantitative lung lesion burden and clinical outcomes of patients infected by B.1.1.7 VOC. Our findings might serve as a model for later investigations, as new variants are emerging across the globe.
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Collection:
Databases of international organizations
Database:
EuropePMC
Type of study:
Prognostic study
Language:
English
Journal:
BJR open
Year:
2022
Document Type:
Article
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