Back

Chest CT Scan of Hospitalized Patients with COVID-19: A Case-Control Study

Dong, J.; Wu, L.; Jin, Q.; Chen, J.; He, J.

2020-04-11 respiratory medicine
10.1101/2020.04.07.20056762 medRxiv
Show abstract

IntroductionThis paper sought to investigate the clinical characteristic differences between suspected and confirmed patients with COVID-19 from CT scan to prevent and treat this infectious disease, since the coronavirus outbreak in the world has seriously affected the quality of life. MethodsWe proposed to use a retrospective case-control study to give a comparison between suspected patients and confirmed patients in the clinical characteristics. Results(56%) patients were confirmed for COVID-19 from suspected 167 patients. We find that elder people were more likely to be infected by COVID-19. Among the confirmed 94 patients, 2 (2%) patients were admitted to an intensive care unit, and 0 (0%) patients died during the study period. We find that images of CT scan of patients with a COVID-19 are significantly different from patients without a COVID-19. ConclusionsTo our best knowledge, it is the first time to use the case-control design to study the coronavirus disease, since it is particularly appropriate for investigating infectious disease outbreaks. The clinical treatment experience in this study can supply a guideline for treating COVID-19 as the number of the infected patients is increasing in the world. Compared with other studies, we find that the mortality rate and the intensive care unit rate can be reduced if patients can be treated timely in the right identification and detection with nucleic acid testing and chest CT scan. Therefore, we recommend nucleic acid testing and chest CT scan for the clinical treatment practice from this successful clinical treatment study.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Virology Journal
32 papers in training set
Top 0.1%
18.8%
2
Medicine
31 papers in training set
Top 0.1%
13.1%
3
PLOS ONE
5266 papers in training set
Top 16%
12.1%
4
Cureus
68 papers in training set
Top 0.2%
8.0%
50% of probability mass above
5
Annals of Translational Medicine
18 papers in training set
Top 0.1%
5.5%
6
Frontiers in Medicine
120 papers in training set
Top 0.8%
3.6%
7
BMJ Open
601 papers in training set
Top 6%
3.3%
8
JMIR Formative Research
33 papers in training set
Top 0.5%
2.8%
9
Scientific Reports
3612 papers in training set
Top 39%
2.7%
10
Journal of Clinical Medicine
97 papers in training set
Top 1%
2.7%
11
Life
29 papers in training set
Top 0.2%
2.1%
12
Journal of Medical Virology
140 papers in training set
Top 1%
1.9%
13
Archives of Clinical and Biomedical Research
28 papers in training set
Top 0.4%
1.8%
14
International Journal of Environmental Research and Public Health
128 papers in training set
Top 3%
1.5%
15
Health Science Reports
13 papers in training set
Top 0.2%
1.4%
16
Pan African Medical Journal
11 papers in training set
Top 0.4%
1.1%
17
Epidemiology and Infection
89 papers in training set
Top 2%
1.1%
18
BMC Infectious Diseases
133 papers in training set
Top 3%
1.1%
19
Medical Research Archives
11 papers in training set
Top 0.3%
1.1%
20
Data in Brief
14 papers in training set
Top 0.1%
1.1%
21
Frontiers in Pharmacology
111 papers in training set
Top 3%
1.0%
22
Vaccines
198 papers in training set
Top 3%
0.9%
23
Journal of Clinical Virology
63 papers in training set
Top 0.8%
0.9%
24
Genomics
64 papers in training set
Top 2%
0.6%
25
Computers in Biology and Medicine
128 papers in training set
Top 5%
0.6%