Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Multicenter Study
. 2020 Nov;30(11):6151-6160.
doi: 10.1007/s00330-020-06955-x. Epub 2020 May 30.

Clinical characteristics and chest CT imaging features of critically ill COVID-19 patients

Affiliations
Multicenter Study

Clinical characteristics and chest CT imaging features of critically ill COVID-19 patients

Nan Zhang et al. Eur Radiol. 2020 Nov.

Abstract

Objectives: To compare clinical, laboratory, and chest computed tomography (CT) findings in critically ill patients diagnosed with coronavirus disease 2019 (COVID-19) who survived and who died.

Methods: This retrospective study reviewed 60 critically ill patients (43 males and 17 females, mean age 64.4 ± 11.0 years) with COVID-19 pneumonia who were admitted to two different clinical centers. Their clinical and medical records were analyzed, and the chest CT images were assessed to determine the involvement of lobes and the distribution of lesions in the lungs between the patients who recovered from the illness and those who died.

Results: Compared with recovered patients (50/60, 83%), deceased patients (10/60, 17%) were older (mean age, 70.6 vs. 62.6 years, p = 0.044). C-reactive protein (CRP) (110.8 ± 26.3 mg/L vs 63.0 ± 50.4 mg/L, p < 0.001) and neutrophil-to-lymphocyte ratio (NLR) (18.7 ± 16.6 vs 8.4 ± 7.5, p = 0.030) were significantly elevated in the deceased as opposed to the recovered. Medial or parahilar area involvement was observed in all the deceased patients (10/10, 100%), when compared to only 54% (27/50) in the recovered. Ground-glass opacities (97%), crazy-paving pattern (92%), and air bronchogram (93%) were the most common radiological findings. There was significant difference in diabetes (p = 0.025) and emphysema (p = 0.013), and the odds ratio on a deceased patient having diabetes and emphysema was 6 times and 21 times the odds ratio on a recovered patient having diabetes and emphysema, respectively.

Conclusions: Older patients with comorbidities such as diabetes and emphysema, and higher CRP and NLRs with diffuse lung involvement were more likely to die of COVID-19.

Key points: • Almost all patients critically ill with COVID-19 pneumonia had five lung lobes involved. • Medial or parahilar area involvement and degree of lung involvement were more serious in the deceased patients when compared with those who recovered from treatment. • Chronic lung disease, e.g., emphysema, diabetes, and higher serum CRP and NLR characterized patients who died of COVID-19.

Keywords: Comorbidity; Computed tomography; Coronavirus infections; Pneumonia; X-ray.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest in this work.

Figures

Fig. 1
Fig. 1
Lesion distribution in the lung fields of critically ill patients with COVID-19. a A 53-year-old male critically ill COVID-19 patient whose symptoms improved and was discharged from the hospital after treatment. CT shows the lesions infiltrating the peripheral and intermediate lung fields, with a lung involvement degree of 26–50% and lesion consolidation degree of 1–25%. b A 77-year-old female critically ill patient with COVID-19 who eventually died. Peripheral, intermediate, and medial areas were seen to be simultaneously involved on CT, with lung involvement and lesion consolidation degrees of 51–75%
Fig. 2
Fig. 2
A 52-year-old male critically ill patient with COVID-19 who recovered after treatment. Multiple pure GGO lesions were seen in the peripheral and intermediate lung fields (arrows) on the CT image. GGO, ground-glass opacities
Fig. 3
Fig. 3
Crazy-paving pattern in a 65-year-old female critically ill COVID-19 patient in the recovery group. A typical crazy-paving pattern is visualized on the CT image
Fig. 4
Fig. 4
Air bronchogram appearance in a 73-year-old male critically ill COVID-19 patient in the recovery group. Multiple bronchogram signs are seen in the GGO and consolidation lesions (arrows). GGO, ground-glass opacities
Fig. 5
Fig. 5
A 77-year-old male critically ill COVID-19 patient who recovered after treatment. GGO (arrows in a) and linear opacities (arrowheads in b) are presented in the same patient on the CT images. GGO, ground-glass opacities
Fig. 6
Fig. 6
GGO with different margins in a 78-year-old male critically ill COVID-19 patient in the recovery group. a GGO with blurred margin. b GGO with clear margin. GGO, ground-glass opacities

References

    1. World Health Organization (2020) Novel coronavirus (2019-nCoV) situation report-75. https://www.who.int/docs/default-source/coronaviruse/20200302-sitrep-75-...
    1. Epidemiology Working Group for NCIP Epidemic Response, Chinese Center for Disease Control and Prevention (2020) The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China. Zhonghua Liu Xing Bing Xue Za Zhi 41(2):145–151 - PubMed
    1. Guan W-j, Ni Z-Y, Hu Y et al (2020) Clinical characteristics of coronavirus disease in China. N Engl J Med. 10.1056/NEJMoa2002032 - PMC - PubMed
    1. Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497–506. doi: 10.1016/S0140-6736(20)30183-5. - DOI - PMC - PubMed
    1. Liu Y, Sun W, Li J, et al (2020) Clinical features and progression of acute respiratory distress syndrome in coronavirus disease 2019. medRxiv. 02.17.20024166

Publication types

MeSH terms