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

• Published in: European journal of medical research Vol. 27; no. 1; pp. 291 - 8
• Main Authors: Zhang, Peiyan, Cai, Zhao, He, Zhiguang, Chen, Peifen, Wu, Weibo, Lin, Yuanlong, Feng, Shiyan, Peng, Ling, Li, Jianming, Yuan, Jing, Yang, Liang, Wang, Fuxiang, Liu, Yingxia, Lu, Hongzhou
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 15.12.2022; BioMed Central; BMC
• Subjects: Acids; Analysis; Anemia; Arthritis; Asthma; Breast cancer; Cardiovascular disease; China; Coronaviruses; COVID-19 vaccine; Diabetes; Disease transmission; Epidemics; Epidemiology; Fever; Glaucoma; Health aspects; Hospitals; Hypertension; Hyperthyroidism; IgG antibody; Immunoglobulin G; Infection; Infections; Laboratories; Lymphatic system; Medical diagnosis; Metastasis; Nucleic acids; Omicron; Pneumonia; SARS-CoV-2; Sleep apnea; South Africa; Statistical analysis; Thyroid cancer; Tuberculosis; Vectors (Biology); South Africa; China; COVID-19 vaccine; SARS-CoV-2; Omicron; IgG antibody
• DOI: 10.1186/s40001-022-00927-1
• ISSN: 2047-783X; 0949-2321

The 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. The 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. Patients 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. In 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.