High-resolution computed tomography features of 17 cases of coronavirus disease 2019 in Sichuan province, China

Zhang, Simin; Li, Huaqiao; Huang, Songtao; You, Wei; Sun, Huaiqiang

doi:10.1183/13993003.00334-2020

Cited by 60 publications

(39 citation statements)

References 11 publications

(7 reference statements)

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“…Both SARS-CoV and influenza preferentially infect type II cells compared to type I cells [11,12]. The infected alveolar units tend to be peripheral and subpleural [13,14]. SARS-CoV propagates within type II cells, large number of viral particles are released, and the cells undergo apoptosis and die (figure 1) [8].…”

Section: Stage 3: Hypoxia Ground Glass Infiltrates and Progression mentioning

confidence: 99%

Pathogenesis of COVID-19 from a cell biology perspective

2020

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Section: Stage 3: Hypoxia Ground Glass Infiltrates and Progression mentioning

confidence: 99%

Pathogenesis of COVID-19 from a cell biology perspective

2020

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“…According to the latest reports, the clinical manifestations of COVID-19 are heterogeneous [3][4][5][6][7][8][9][10][11][12]. On admission, 20-51% of patients were reported as having at least one comorbidity, with diabetes (10-20%), hypertension (10-15%) and other cardiovascular and cerebrovascular diseases (7-40%) being most common [3,4,6].…”

Section: Introductionmentioning

confidence: 99%

Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis

et al. 2020

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Background: The coronavirus disease 2019 outbreak is evolving rapidly worldwide. Objective: To evaluate the risk of serious adverse outcomes in patients with COVID-19 by stratifying the comorbidity status. Methods: We analysed data from 1590 laboratory confirmed hospitalised patients from 575 hospitals in 31 provinces/autonomous regions/provincial municipalities across mainland China between 11 December 2019 and 31 January 2020. We analysed the composite end-points, which consisted of admission to an intensive care unit, invasive ventilation or death. The risk of reaching the composite end-points was compared according to the presence and number of comorbidities. Results: The mean age was 48.9 years and 686 (42.7%) patients were female. Severe cases accounted for 16.0% of the study population. 131 (8.2%) patients reached the composite end-points. 399 (25.1%) reported having at least one comorbidity. The most prevalent comorbidity was hypertension (16.9%), followed by diabetes (8.2%). 130 (8.2%) patients reported having two or more comorbidities. After adjusting for age and smoking status, COPD (HR (95% CI) 2.681 (1.424-5.048)), diabetes (1.59 (1.03-2.45)), hypertension (1.58 (1.07-2.32)) and malignancy (3.50 (1.60-7.64)) were risk factors of reaching the composite end-points. The hazard ratio (95% CI) was 1.79 (1.16-2.77) among patients with at least one comorbidity and 2.59 (1.61-4.17) among patients with two or more comorbidities. Conclusion: Among laboratory confirmed cases of COVID-19, patients with any comorbidity yielded poorer clinical outcomes than those without. A greater number of comorbidities also correlated with poorer clinical outcomes. This article has supplementary material available from

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“…Most patients with COVID-19 pneumonia had GGO or mixed GGO and consolidation, interlobular septal thickening, and vascular enlargement in the lesion, and the lesions were more likely peripheral distribution, bilateral involvement, and multifoca [12,13,[18][19][20][21][22]. In our study, above CT features of COVID-19 pneumonia were not associated with the progression, indicating that above CT features in early-phase were not risk factors of the progression of COVID-19 pneumonia.…”

Section: Discussionmentioning

confidence: 41%

Early CT imaging markers of COVID-19 progression

Chen

Tang

et al. 2020

Preprint

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Background: Early recognition of patients who are prone to develop severe or critical COVID-19 pneumonia may improve its management and modify its outcome by better treatment regimens.Objective: To investigate Computed Tomography (CT)-based early markers of COVID-19 progression. Material and methods: Thirty-two COVID-19 patients were retrospectively enrolled, including 23 moderate cases who remained moderate until being cured and discharged from hospital, and 9 progressive cases who started with moderate pneumonia and later progressed to severe or critical pneumonia. Clinical and CT data in the early course of disease were reviewed and compared. The association between early features and progression of COVID-19 were analyzed. Results: The multivariate logistic regression analysis revealed that the progression of COVID-19 were significantly associated with older age and higher CT score of the right lower lobe in the early CT images. After adjustment for relevant covariates, the relationship between CT score of the right lower lobe and COVID-19 progression persisted (odds ratio 19.28, 95% confidence interval 1.07 - 348.34).Conclusions: Higher CT Score of the right lower lobe in early images and older age appeared to be promising biomarkers for early prediction of COVID-19 prognosis. Extensive involvement of the right lower lobe at the early stage may suggest a high risk of progression.

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High-resolution computed tomography features of 17 cases of coronavirus disease 2019 in Sichuan province, China

Cited by 60 publications

References 11 publications

Pathogenesis of COVID-19 from a cell biology perspective

Pathogenesis of COVID-19 from a cell biology perspective

Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis

Early CT imaging markers of COVID-19 progression

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