Judit Simon, Kajetan Grodecki, Sebastian Cadet, Aditya Killekar, Piotr Slomka, Samuel James Zara, Emese Zsarnóczay, Chiara Nardocci, Norbert Nagy, Katalin Kristóf, Barna Vásárhelyi, Veronika Müller, Béla Merkely, Damini Dey, Pál Maurovich-Horvat
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Total pneumonia burden (%), mean attenuation of ground-glass opacities and consolidation were quantified using deep-learning research software.</p><p><strong>Results: </strong>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; <i>p</i> < .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%] <i>vs</i> 6.6% [IQR:1.2-18.3%]; <i>p</i> < .001). In the age-specific analysis, in patients <60 years B.1.1.7 pneumonia had increased consolidation burden (0.1% [IQR:0.0-0.7%] <i>vs</i> 0.1% [IQR:0.0-0.2%]; <i>p</i> < .001), and severe COVID-19 was more prevalent (11.5% vs 4.9%; <i>p</i> = .032). Mortality rate was similar in all age groups.</p><p><strong>Conclusion: </strong>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.</p><p><strong>Advances in knowledge: </strong>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.</p>","PeriodicalId":72419,"journal":{"name":"BJR open","volume":"4 1","pages":"20220016"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667478/pdf/","citationCount":"1","resultStr":"{\"title\":\"Radiomorphological signs and clinical severity of SARS-CoV-2 lineage B.1.1.7.\",\"authors\":\"Judit Simon, Kajetan Grodecki, Sebastian Cadet, Aditya Killekar, Piotr Slomka, Samuel James Zara, Emese Zsarnóczay, Chiara Nardocci, Norbert Nagy, Katalin Kristóf, Barna Vásárhelyi, Veronika Müller, Béla Merkely, Damini Dey, Pál Maurovich-Horvat\",\"doi\":\"10.1259/bjro.20220016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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; <i>p</i> < .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%] <i>vs</i> 6.6% [IQR:1.2-18.3%]; <i>p</i> < .001). In the age-specific analysis, in patients <60 years B.1.1.7 pneumonia had increased consolidation burden (0.1% [IQR:0.0-0.7%] <i>vs</i> 0.1% [IQR:0.0-0.2%]; <i>p</i> < .001), and severe COVID-19 was more prevalent (11.5% vs 4.9%; <i>p</i> = .032). 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引用次数: 1
摘要
目的:我们旨在评估SARS-CoV-2 B.1.1.7和非B.1.1.7变体的严重程度和胸部ct放射形态学征象的差异。方法:收集2020年9月1日至11月13日(非B.1.1.7例)和2021年3月1日至3月18日(B.1.1.7例)在急诊科连续收治的实验室确诊的COVID-19患者的临床资料和胸部ct成像。我们还研究了与COVID-19肺炎相关的严重程度和放射形态学特征的差异。使用深度学习研究软件量化肺炎总负担(%)、毛玻璃混浊的平均衰减和实变。结果:最终种群为B.1.1.7病例500例,非B.1.1.7病例500例。感染B.1.1.7的患者较年轻(58.5±15.6 vs 64.8±17.3);P < 0.001),合并症较少。B.1.1.7患者组的肺炎总负担较高(16.1%[四分位数间距(IQR):6.0-34.2%] vs . 6.6% [IQR:1.2-18.3%];P < 0.001)。在年龄特异性分析中,患者vs 0.1% [IQR:0.0-0.2%];p < 0.001),重症COVID-19患病率更高(11.5% vs 4.9%;P = .032)。所有年龄组的死亡率相似。结论:B.1.1.7组患者年龄小,合并症少,但病情较非B.1.1.7组严重,但死亡风险相同。知识进展:我们的研究提供了基于深度学习的B.1.1.7 VOC感染患者定量肺病变负担和临床结果的数据。随着新的变异在全球范围内出现,我们的发现可能会成为后来调查的模型。
Radiomorphological signs and clinical severity of SARS-CoV-2 lineage B.1.1.7.
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% [IQR:1.2-18.3%]; p < .001). In the age-specific analysis, in patients <60 years B.1.1.7 pneumonia had increased consolidation burden (0.1% [IQR:0.0-0.7%] vs 0.1% [IQR:0.0-0.2%]; 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.