Analysis of 394 COVID-19 cases infected with Omicron variant in Shenzhen: impact of underlying diseases to patient’s symptoms

European Journal of Medical Research

Research

Ling Peng¹  Fuxiang Wang¹  Yuanlong Lin¹  Jing Yuan¹  Yingxia Liu¹  Peifen Chen¹  Jianming Li¹  Hongzhou Lu¹  Peiyan Zhang¹  Shiyan Feng¹  Weibo Wu¹  Zhiguang He²  Zhao Cai³  Liang Yang⁴ 

[1] Department of Infectious Diseases, Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology, 518112, Shenzhen, China;Luohu Clinical Institute of Shantou University Medical College, Shantou, China;School of Medicine, Southern University of Science and Technology, 518055, Shenzhen, China;School of Medicine, Southern University of Science and Technology, 518055, Shenzhen, China;National Clinical Research Center for Infectious Disease, 518112, Shenzhen, China;Shenzhen Key Laboratory for Gene Regulation and Systems Biology, Southern University of Science and Technology, 518055, Shenzhen, China;

关键词: SARS-CoV-2;    Omicron;    IgG antibody;    COVID-19 vaccine;   

DOI  :  10.1186/s40001-022-00927-1

 received in 2022-07-16, accepted in 2022-12-02,  发布年份 2022

来源: Springer

【 摘 要 】

ObjectivesThe emergence of new variants of SARS-CoV-2 is continuously posing pressure to the epidemic prevention and control in China. The Omicron variant of SARS-CoV-2 having stronger infectivity, immune escape ability, and capability causing repetitive infection spread to many countries and regions all over the world including South Africa, United States and United Kingdom etc., in a short time. The outbreaks of Omicron variant also occurred in China. The aim of this study is to understand the epidemiological characteristics of Omicron variant infection in Shenzhen and to provide scientific basis for effective disease control and prevention.MethodsThe clinical data of 394 imported COVID-19 cases infected with Omicron variant from 16 December 2021 to 24 March 2022 admitted to the Third People’s hospital of Shenzhen were collected and analyzed retrospectively. Nucleic acid of SARS-CoV-2 of nasopharyngeal swabs and blood samples was detected using 2019-nCoV nucleic acid detection kit. Differences in Ct values of N gene were compared between mild group and moderate group. The specific IgG antibody was detected using 2019-nCoV IgG antibody detection kit. Statistical analysis was done using SPSS software and graphpad prism.ResultsPatients were categorized into mild group and moderate group according to disease severity. The data on the general conditions, underlying diseases, COVID-19 vaccination and IgG antibody, viral load, laboratory examination results, and duration of hospitalization, etc., were compared among disease groups. Mild gorup had higher IgG level and shorter nucleic acid conversion time. Patients with underlying diseases have 4.6 times higher probability to progress to moderate infection.ConclusionIn terms of epidemic prevention, immunization coverage should be strengthened in the population with underlying diseases. In medical institutions, more attention needs to be paid to such vulnerable population and prevent further deterioration of the disease.

【 授权许可】

CC BY   
© The Author(s) 2022