Clinical Characteristics and Imaging Features of COVID-19 at Initial Diagnosis in Fever Clinic

LIU Xiaoyan; BAO Zhongying; DUAN Shuhong; ZHANG Jie; ZHANG Mingxia; SUN Ying; LI Ling; WANG Rengui

doi:10.15953/j.ctta.2023.149

Volume 32 Issue 5

Sep. 2023

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CT Theory and Applications > 2023 > 32(5): 636-644. > DOI: 10.15953/j.ctta.2023.149

LIU X Y, BAO Z Y, DUAN S H, et al. Clinical Characteristics and Imaging Features of COVID-19 at Initial Diagnosis in Fever Clinic[J]. CT Theory and Applications, 2023, 32(5): 636-644. DOI: 10.15953/j.ctta.2023.149. (in Chinese).

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Clinical Characteristics and Imaging Features of COVID-19 at Initial Diagnosis in Fever Clinic

1.
Beijing Shijitan Hospital of Capital Medical University, Beijing 100038 Department of Infectious Diseases
2.
Beijing Shijitan Hospital of Capital Medical University, Beijing 100038 Department of Radiology

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Received Date: July 26, 2023
Revised Date: August 24, 2023
Accepted Date: August 28, 2023
Available Online: September 01, 2023
Published Date: September 21, 2023

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Abstract

Abstract

Objective: Objective: To explore and analyze the clinical features and chest thin-slice non-enhanced computed tomography (CT) imaging features of patients with coronavirus disease 2019 (COVID-19) at initial diagnosis in a fever clinic. Methods: A retrospective analysis was performed on 140 patients with COVID-19 at initial diagnosis in a fever clinic, including 101 and 39 cases in the moderate and severe and critical groups , respective-ly. Baseline, clinical characteristics, complete blood count + C-reactive protein (CBC+CRP), and chest thin-slice non-enhanced CT imaging characteristics of the patients were analyzed. Results: (1) The comparison between the moderate and severe and criti-cal groups showed that there were statistically significant differences in age (66.05±14.38 vs. 77.90±13.12,), course of initial diagnosis (5.40±3.81 vs. 3.97±3.12), SPO₂ (97.88±1.73 vs. 92.92±4.01)_, and Tmax (38.32±0.66 vs. 38.68±0.63).(2) CT features between the two groups showed statistically significant differences in semi-quantitative volume (18.85±13.51 vs. 34.41±19.34). (3) The comparison between the moderate and severe and critical groups showed that there were statistically significant differ-ences in CRP (29.42±26.93 vs. 80.67±48.01), LYM (1.64±0.68 vs. 0.95±0.64), and NLR (3.48±2.46 vs. 9.36±10.42). (4) Six indicators, namely age, the course of initial diagnosis, SPO2, semi-quantitative volume, CRP, and LYM, were screened for multivariate logistic regression analysis. The result show that age (OR=1.090, 95%CI 1.006 ~ 1.181), semi-quantitative (OR=1.086, 95%CI 1.086 ~ 1.019), and SPO₂ (OR=0.261, 95%CI 0.089 ~ 0.762), are related to the occurrence of severe and critical COVID-19 infection, and the difference is statistically significant; CRP (OR=1.054, 95%CI 1.023 ~ 1.087) and LYM (OR=0.039, 95%CI 0.04 ~ 0.391) are related to the occurrence of severe and critical COVID-19 infection, and the difference is significant statistically significant. Conclusion: Age, lower SPO₂ and LYM, a shorter course; a higher Tmax, semi-quantitative volume, CRP, and NLR are associ-ated with severe and critical cases and required early identification.
- CT,
- COVID-19,
- Omicron,
- clinical characteristics

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