Suppr超能文献

比较 2020-2022 年埃及出现的 SARS-CoV-2 奥密克戎变异株与之前鉴定的 SARS-CoV-2 变异株:对 SARS-CoV-2 基因组进化及其对流行病学、临床特征、疾病严重程度和死亡率影响的深入了解。

Comparison of SARS-Cov-2 omicron variant with the previously identified SARS-Cov-2 variants in Egypt, 2020-2022: insight into SARS-Cov-2 genome evolution and its impact on epidemiology, clinical picture, disease severity, and mortality.

机构信息

Preventive Sector, Ministry of Health and Population, Cairo, Egypt.

Centre of Scientific Excellence for Influenza Viruses, National Research Centre, Dokki, Giza, 12622, Egypt.

出版信息

BMC Infect Dis. 2023 Aug 18;23(1):542. doi: 10.1186/s12879-023-08527-y.

Abstract

BACKGROUND

The o severe acute respiratory coronavirus 2 (SARS-CoV-2) pandemic has killed millions of people and caused widespread concern around the world. Multiple genetic variants of SARS-CoV-2 have been identified as the pandemic continues. Concerns have been raised about high transmissibility and lower vaccine efficacy against omicron. There is an urgent need to better describe how omicron will impact clinical presentation and vaccine efficacy. This study aims at comparing the epidemiologic, clinical, and genomic characteristics of the omicron variant prevalent during the fifth wave with those of other VOCs between May 2020 and April 2022.

METHODS

Epidemiological data were obtained from the National Electronic Diseases Surveillance System. Secondary data analysis was performed on all confirmed COVID-19 patients. Descriptive data analysis was performed for demographics and patient outcome and the incidence of COVID-19 was calculated as the proportion of SARS-CoV-2 confirmed patients out of the total population of Egypt. Incidence and characteristics of the omicron cohort from January- April 2022, were compared to those confirmed from May 2020-December 2021. We performed the whole-genome sequencing of SARS-CoV-2 on 1590 specimens using Illumina sequencing to describe the circulation of the virus lineages in Egypt.

RESULTS

A total of 502,629 patients enrolled, including 60,665 (12.1%) reported in the fifth wave. The incidence rate of omicron was significantly lower than the mean of incidences in the previous subperiod (60.1 vs. 86.3/100,000 population, p < 0.001). Symptoms were reported less often in the omicron cohort than in patients with other variants, with omicron having a lower hospitalization rate and overall case fatality rate as well. The omicron cohort tended to stay fewer days at the hospital than did those with other variants. We analyzed sequences of 2433 (1590 in this study and 843 were obtained from GISAID platform) Egyptian SARS-CoV-2 full genomes. The first wave that occurred before the emergence of global variants of concern belonged to the B.1 clade. The second and third waves were associated with C.36. Waves 4 and 5 included B.1.617.2 and BA.1 clades, respectively.

CONCLUSIONS

The study indicated that Omicron-infected patients had milder symptoms and were less likely to be hospitalized; however, patients hospitalized with omicron had a more severe course and higher fatality rates than those hospitalized with other variants. Our findings demonstrate the importance of combining epidemiological data and genomic analysis to generate actionable information for public health decision-making.

摘要

背景

严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)大流行已导致数百万人死亡,并在全球范围内引起广泛关注。随着大流行的继续,已经确定了 SARS-CoV-2 的多种遗传变异体。人们对奥密克戎的高传染性和对疫苗效力的降低表示担忧。迫切需要更好地描述奥密克戎将如何影响临床症状和疫苗效力。本研究旨在比较 2020 年 5 月至 2022 年 4 月第五波期间流行的奥密克戎变体与其他变异体的流行情况、临床和基因组特征。

方法

从国家电子疾病监测系统中获取流行病学数据。对所有确诊的 COVID-19 患者进行二次数据分析。对人口统计学数据和患者结局进行描述性数据分析,并计算 SARS-CoV-2 确诊患者占埃及总人口的比例。比较 2022 年 1 月至 4 月的奥密克戎队列的发病率和特征,以及 2020 年 5 月至 2021 年 12 月的确诊病例。我们使用 Illumina 测序对 1590 个 SARS-CoV-2 标本进行了全基因组测序,以描述病毒谱系在埃及的传播情况。

结果

共纳入 502629 例患者,其中 60665 例(12.1%)发生在第五波。奥密克戎的发病率明显低于前一个亚期间的平均发病率(60.1 比 86.3/100000 人,p<0.001)。与其他变异体相比,奥密克戎患者的症状报告较少,住院率和总病死率也较低。奥密克戎组住院天数也少于其他变异体。我们分析了 2433 例(本研究中 1590 例,GISAID 平台 843 例)埃及 SARS-CoV-2 全基因组序列。第一波在全球关注的变异体出现之前发生,属于 B.1 分支。第二波和第三波与 C.36 有关。第四波和第五波分别包括 B.1.617.2 和 BA.1 分支。

结论

研究表明,奥密克戎感染患者的症状较轻,住院可能性较低;然而,与其他变异体相比,住院的奥密克戎患者病情更严重,病死率更高。我们的研究结果表明,结合流行病学数据和基因组分析对于制定公共卫生决策非常重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290c/10439637/e86aa6a2ac9e/12879_2023_8527_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验