Differential diagnosis of coronavirus disease 2019 from community-acquired-pneumonia by computed tomography scan and follow-up

Autor: Jin Long Yao, Ping Xu, Wei Wei, Wei-Fu Lv, Xiao Hui Qiu, Kai Cai Liu, Bo Hu, Lei Chen, Jin Feng Gu
Rok vydání: 2020
Předmět:
Male
medicine.disease_cause
COVID-19 Testing
0302 clinical medicine
Pulmonary consolidation
Community-acquired pneumonia
030212 general & internal medicine
Young adult
Child
Computed tomography
Coronavirus
Aged
80 and over

Coronavirus disease 2019
lcsh:Public aspects of medicine
General Medicine
Middle Aged
Community-Acquired Infections
Infectious Diseases
medicine.anatomical_structure
Child
Preschool

Female
Differential diagnosis
Radiology
medicine.symptom
Coronavirus Infections
Research Article
Adult
China
medicine.medical_specialty
Adolescent
Pneumonia
Viral

030231 tropical medicine
Sensitivity and Specificity
lcsh:Infectious and parasitic diseases
Diagnosis
Differential

X-ray
Betacoronavirus
Young Adult
03 medical and health sciences
White blood cell
medicine
Humans
lcsh:RC109-216
Pandemics
Aged
Retrospective Studies
Lung
Clinical Laboratory Techniques
SARS-CoV-2
business.industry
Public Health
Environmental and Occupational Health

COVID-19
lcsh:RA1-1270
Retrospective cohort study
Pneumonia
medicine.disease
Tomography
X-Ray Computed

business
Follow-Up Studies
Zdroj: Infectious Diseases of Poverty, Vol 9, Iss 1, Pp 1-11 (2020)
Infectious Diseases of Poverty
ISSN: 2049-9957
DOI: 10.1186/s40249-020-00737-9
Popis: Objective Coronavirus disease 2019 (COVID-19) is currently the most serious infectious disease in the world. An accurate diagnosis of this disease in the clinic is very important. This study aims to improve the differential ability of computed tomography (CT) to diagnose COVID-19 and other community-acquired pneumonias (CAPs) and evaluate the short-term prognosis of these patients. Methods The clinical and imaging data of 165 COVID-19 and 118 CAP patients diagnosed in seven hospitals in Anhui Province, China from January 21 to February 28, 2020 were retrospectively analysed. The CT manifestations of the two groups were recorded and compared. A correlation analysis was used to examine the relationship between COVID-19 and age, size of lung lesions, number of involved lobes, and CT findings of patients. The factors that were helpful in diagnosing the two groups of patients were identified based on specificity and sensitivity. Results The typical CT findings of COVID-19 are simple ground-glass opacities (GGO), GGO with consolidation or grid-like changes. The sensitivity and specificity of the combination of age, white blood cell count, and ground-glass opacity in the diagnosis of COVID-19 were 92.7 and 66.1%, respectively. Pulmonary consolidation, fibrous cords, and bronchial wall thickening were used as indicators to exclude COVID-19. The sensitivity and specificity of the combination of these findings were 78.0 and 63.6%, respectively. The follow-up results showed that 67.8% (112/165) of COVID-19 patients had abnormal changes in their lung parameters, and the severity of the pulmonary sequelae of patients over 60 years of age worsened with age. Conclusions Age, white blood cell count and ground-glass opacity have high accuracy in the early diagnosis of COVID-19 and the differential diagnosis from CAP. Patients aged over 60 years with COVID-19 have a poor prognosis. This result provides certain significant guidance for the diagnosis and treatment of new coronavirus pneumonia.
Databáze: OpenAIRE