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Differential Characteristics of Patients for Hospitalized Severe COVID-19 Infected by the Omicron Variants and Wild Type of SARS-CoV-2 in China.
Wei, Yuan-Yuan; Wang, Rui-Rui; Zhang, Da-Wei; Chen, Su-Hong; Tan, Yuan-Yuan; Zhang, Wen-Ting; Han, Ming-Feng; Fei, Guang-He.
Affiliation
  • Wei YY; Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, People's Republic of China.
  • Wang RR; Key Laboratory of Respiratory Diseases Research and Medical Transformation of Anhui Province, Hefei, Anhui, 230022, People's Republic of China.
  • Zhang DW; Department of Respiratory and Critical Care Medicine, the Second People's Hospital of Fuyang City, Fuyang, Anhui, 236015, People's Republic of China.
  • Chen SH; Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, People's Republic of China.
  • Tan YY; Key Laboratory of Respiratory Diseases Research and Medical Transformation of Anhui Province, Hefei, Anhui, 230022, People's Republic of China.
  • Zhang WT; Key Laboratory of Respiratory Diseases Research and Medical Transformation of Anhui Province, Hefei, Anhui, 230022, People's Republic of China.
  • Han MF; Department of Integrated Traditional Chinese and Western Medicine, Anhui Medical University, Hefei, Anhui, 230022, People's Republic of China.
  • Fei GH; Key Laboratory of Respiratory Diseases Research and Medical Transformation of Anhui Province, Hefei, Anhui, 230022, People's Republic of China.
J Inflamm Res ; 16: 3063-3078, 2023.
Article in En | MEDLINE | ID: mdl-37497065
Background: As multiple mutations of SARS-Cov-2 exist, there are now many viral variants with regional differences in distribution. The clinical characteristics of patients hospitalized with the virus also vary significantly, with those of the Omicron variants being strikingly different from those of the earliest wild-type variant. However, comprehensive data on this subject is lacking. It is therefore crucial to explore these differences to develop better clinical strategies for the management of COVID-19. Methods: A total of 554 confirmed COVID-19 cases in China were clinically classified as mild, moderate, severe, and critical according to their diagnoses and treatment plans. We compared the demographics and clinical characteristics of patients infected with the Omicron vs wild-type strains, between severe and non-severe cases. Bacterial co-infections with SARS-CoV-2 and correlation between inflammatory factors and T cells were analyzed. Results: Compared to the wild-type cases, the severe Omicron cases were older (median age 48.36 vs 73.24), and had more upper-respiratory symptoms and comorbidities. Decreased leukocyte counts were less pronounced, although more instances of significantly decreased CD4+ and CD8+ T-cell counts, elevated infection-related biomarkers (eg procalcitonin and C-reactive protein), and abnormal coagulation factors (including increased D-dimer and fibrinogen levels) were detected in the severe Omicron cases. The mean length of hospital stay was significantly shorter in the severe Omicron cases. CD4+ and CD8+ T cell numbers were negatively correlated with neutrophil-to-lymphocyte ratios, as well as serum interleukin-6, procalcitonin, and C-reactive protein levels. Conclusion: There were significant clinical differences between patients hospitalized with severe cases of Omicron- variant COVID-19 vs wild-type. The Omicron cases tended to be older and had more upper respiratory tract symptoms, comorbidities and bacterial co-infections. Elevated levels of inflammatory cytokines with T-cell depletion correlated with poor disease progression and prognosis. We hope these data provide a theoretical basis for future integrated prevention and control plans for COVID-19.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Inflamm Res Year: 2023 Document type: Article Country of publication: New Zealand

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Inflamm Res Year: 2023 Document type: Article Country of publication: New Zealand