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Clinical characteristics of patients with 2019 coronavirus disease in a non-Wuhan area of Hubei Province, China: a retrospective study
- Source :
- BMC Infectious Diseases, Vol 20, Iss 1, Pp 1-8 (2020), BMC infectious diseases, 20(1):311, BMC Infectious Diseases
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- Background Since December 2019, the 2019 coronavirus disease (COVID-19) has expanded to cause a worldwide outbreak that more than 600,000 people infected and tens of thousands died. To date, the clinical characteristics of COVID-19 patients in the non-Wuhan areas of Hubei Province in China have not been described. Methods We retrospectively analyzed the clinical characteristics and treatment progress of 91 patients diagnosed with COVID-19 in Jingzhou Central Hospital. Results Of the 91 patients diagnosed with COVID-19, 30 cases (33.0%) were severe and two patients (2.2%) died. The severe disease group tended to be older (50.5 vs. 42.0 years; p = 0.049) and have more chronic disease (40% vs. 14.8%; p = 0.009) relative to mild disease group. Only 73.6% of the patients were quantitative polymerase chain reaction (qPCR)-positive on their first tests, while typical chest computed tomography images were obtained for each patient. The most common complaints were cough (n = 75; 82.4%), fever (n = 59; 64.8%), fatigue (n = 35; 38.5%), and diarrhea (n = 14; 15.4%). Non-respiratory injury was identified by elevated levels of aspartate aminotransferase (n = 18; 19.8%), creatinine (n = 5; 5.5%), and creatine kinase (n = 14; 15.4%) in laboratory tests. Twenty-eight cases (30.8%) suffered non-respiratory injury, including 50% of the critically ill patients and 21.3% of the mild patients. Conclusions Overall, the mortality rate of patients in Jingzhou was lower than that of Wuhan. Importantly, we found liver, kidney, digestive tract, and heart injuries in COVID-19 cases besides respiratory problems. Combining chest computed tomography images with the qPCR analysis of throat swab samples can improve the accuracy of COVID-19 diagnosis.
- Subjects :
- Adult
Diarrhea
Male
China
medicine.medical_specialty
Fever
Pneumonia, Viral
COVID-19
Mortality
Respiratory failure
Non-respiratory injury
Disease characteristics
Disease
030204 cardiovascular system & hematology
Disease Outbreaks
lcsh:Infectious and parasitic diseases
Betacoronavirus
03 medical and health sciences
chemistry.chemical_compound
0302 clinical medicine
Medical microbiology
Internal medicine
Humans
Medicine
lcsh:RC109-216
030212 general & internal medicine
Pandemics
Fatigue
Retrospective Studies
Creatinine
SARS-CoV-2
business.industry
Mortality rate
Outbreak
Retrospective cohort study
Middle Aged
Infectious Diseases
Cough
chemistry
Female
medicine.symptom
Coronavirus Infections
Tomography, X-Ray Computed
business
Research Article
Subjects
Details
- ISSN :
- 14712334
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- BMC Infectious Diseases
- Accession number :
- edsair.doi.dedup.....5be26409e907782118f8bc685b0060b7
- Full Text :
- https://doi.org/10.1186/s12879-020-05010-w