中文版 | English
题名

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

作者
通讯作者Yang,Liang; Wang,Fuxiang; Liu,Yingxia; Lu,Hongzhou
发表日期
2022-12-01
DOI
发表期刊
ISSN
0949-2321
EISSN
2047-783X
卷号27期号:1
摘要
Objectives: 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. Methods: 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. Results: 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. Conclusion: 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.
关键词
相关链接[Scopus记录]
收录类别
语种
英语
学校署名
第一 ; 通讯
资助项目
Natural Science Foundation of Guangdong Province for Distinguished Young Scholars[2020B1515020003];Shenzhen Science and Technology Innovation Program[KQTD20200909113758004];
WOS记录号
WOS:000899574200002
ESI学科分类
CLINICAL MEDICINE
Scopus记录号
2-s2.0-85144176788
来源库
Scopus
引用统计
被引频次[WOS]:0
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/536906
专题南方科技大学第二附属医院
南方科技大学医学院
作者单位
1.Department of Infectious Diseases,Shenzhen Third People’s Hospital,Second Hospital Affiliated to Southern University of Science and Technology,Shenzhen,518112,China
2.School of Medicine,Southern University of Science and Technology,Shenzhen,518055,China
3.National Clinical Research Center for Infectious Disease,Shenzhen,518112,China
4.Shenzhen Key Laboratory for Gene Regulation and Systems Biology,Southern University of Science and Technology,Shenzhen,518055,China
5.Luohu Clinical Institute of Shantou University Medical College,Shantou,China
第一作者单位南方科技大学第二附属医院
通讯作者单位南方科技大学医学院;  南方科技大学;  南方科技大学第二附属医院
第一作者的第一单位南方科技大学第二附属医院
推荐引用方式
GB/T 7714
Zhang,Peiyan,Cai,Zhao,He,Zhiguang,等. Analysis of 394 COVID-19 cases infected with Omicron variant in Shenzhen: impact of underlying diseases to patient’s symptoms[J]. European Journal of Medical Research,2022,27(1).
APA
Zhang,Peiyan.,Cai,Zhao.,He,Zhiguang.,Chen,Peifen.,Wu,Weibo.,...&Lu,Hongzhou.(2022).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,27(1).
MLA
Zhang,Peiyan,et al."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 27.1(2022).
条目包含的文件
条目无相关文件。
个性服务
原文链接
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
导出为Excel格式
导出为Csv格式
Altmetrics Score
谷歌学术
谷歌学术中相似的文章
[Zhang,Peiyan]的文章
[Cai,Zhao]的文章
[He,Zhiguang]的文章
百度学术
百度学术中相似的文章
[Zhang,Peiyan]的文章
[Cai,Zhao]的文章
[He,Zhiguang]的文章
必应学术
必应学术中相似的文章
[Zhang,Peiyan]的文章
[Cai,Zhao]的文章
[He,Zhiguang]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
[发表评论/异议/意见]
暂无评论

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。