COVID-19传播期间鞑靼斯坦共和国人群SARS-CoV2血清阳性率形成特征

I. Reshetnikova, E. Agafonova, N. Khakimov, Yury A Tyurin, N. D. Shaуkhrazieva, V. B. Ziatdinov
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引用次数: 0

摘要

的相关性。研究新型冠状病毒感染高危人群——医务人员体液免疫反应的形成和持续时间的特点具有重要意义。目标目的研究临时传染病医院未接种SARS-CoV2疫苗的MRs患者特异性抗体(IgM和IgG)水平的动态变化,以评估个体对新型冠状病毒感染的体液免疫反应趋势。材料和方法。从2020年7月至2021年7月,我们使用俄罗斯的“SARS-CoV-2-IgG- best”和“SARS-CoV-2-IgM- best”检测系统,每月对68名未接种疫苗的卫生工作者进行SARS-CoV-2 IgM- IgG和IgM-ELISA检测。其中男性占26.5%,女性占73.5%,平均年龄为43.5±1.51岁,医生占52.9%,辅助医务人员占36.8%,初级医务人员占10.3%。69.1%有新冠肺炎临床表现史,其中轻度感染占42.7%,中度感染占20.6%,重度感染占5.9%,无症状者占30.9%。利用Excel统计软件包和WinPepi软件产品(11.65版本),采用变异统计的方法进行统计处理。结果。对SARS-CoV-2的IgM滴度几何平均值下降(月平均下降6.40%),IgG滴度几何平均值上升(月平均上升4.26%)。对首次出现阳性结果当日的抗体动态进行的个体评估显示,抗体滴度以及对SARS-CoV-2的IgM和IgG的几何平均值下降(月平均分别下降-23.56%和-1.18%)。免疫反应的个体评估可以根据IgM的动态区分三组:血液中M0 -IgM缺失(50±5.7446%);M1 -IgM持续1 ~ 2个月,随后滴度迅速下降(16.176±3.7943%);M2 - IgM在血液中存在3个月以上(33.824±5.1033%)。根据IgG MR的动力学性质分为四组。与免疫球蛋白效价下降的趋势:G0 -免疫球蛋白不超过95%的置信上限的个人趋势的样本(19.118±4.7686%),G1 -不超过95%的个人的信心上限趋势从3个月后开始观测(4.412±2.4903%),G2 -有超过95%的置信上限的个人趋势从开始的3个月后观察(69.118±5.6027%);G3 - IgG滴度呈上升趋势(7.353±3.1651%)。Сonclusions。血清学监测结果总体上表明该队列已形成群体免疫。全年监测个体对SARS-CoV-2的免疫反应强度反映了感染过程的自然过程,是接种COVID-19疫苗的基础。血清学监测结果可用于预测流行病学情况、规划特异性和非特异性COVID-19、个性化疫苗接种。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Features of the Formation of Seroprevalence to SARS-CoV2 in the Population of the Republic of Tatarstan during the Spread of COVID-19
Relevance. It is relevant to study the features of the formation and duration of the humoral immune response to a new coronavirus infection in a high-risk group of infection - among medical workers. Aims. To study the dynamics of the levels of specific antibodies (IgM and IgG) to SARS-CoV2 in unvaccinated MRs of the temporary infectious diseases hospital to assess the trends of the individual humoral immune response to a new coronavirus infection. Materials and methods. We monitored IgM and IgG to SARS-CoV-2 in 68 unvaccinated healthcare workers monthly from July 2020 to July 2021 by two-stage direct solid-phase ELISA using the test systems «SARS-CoV-2-IgG-ELISA-BEST» and «SARS-CoV-2-IgM-ELISA-BEST», Russia. Among them, there were 26.5% men and 73.5% women, the average age was 43.5 ± 1.51 years, doctors 52.9%, paramedical personnel 36.8% and junior staff 10.3%. 69.1% had a history of clinical manifestations of COVID19, among them 42.7% had a mild infection, 20.6% had a moderate infection, and 5.9% had a severe infection, 30.9% were asymptomatic. Statistical processing were carried out using the methods of variation statistics using the Excel statistical package and the WinPepi software product (version 11.65). Results. A decrease in the geometric mean value of IgM titers to SARS-CoV-2 (average monthly decrease of 6.40%) and an increase in the geometric mean value of IgG titers (average monthly increase of 4.26%). An individual assessment of the dynamics of antibodies from the day with the first positive result showed a decrease in the geometric mean values of antibody titers and IgM and IgG to SARS-CoV-2 (monthly average decrease of -23.56% and -1.18%, respectively). An individual assessment of the immune response made it possible to distinguish three groups according to the dynamics of IgM: M0 -IgM in the blood were absent (50 ± 5.7446%); M1 -IgM persisted for        1–2 months, followed by a rapid decrease in titer (16.176 ± 3.7943%); M2 – IgM remained in the blood for three or more months (33.824 ± 5.1033%). By the nature of the dynamics of IgG MR were divided into four troupes. With a downward trend in IgG titer: G0 – IgG does not exceed 95% of the upper confidence limit of the individual trend in any of the samples taken (19.118 ± 4.7686%), G1 – does not exceed 95% of the upper confidence limit of the individual trend starting from 3 months after the start observations (4.412 ± 2.4903%), G2 – there is an excess of 95% of the upper confidence limit of the individual trend starting from 3 months after the start of observation (69.118 ± 5.6027%); G3 – with a trend of increasing IgG titer (7.353 ± 3.1651%). Сonclusions. The results of serological monitoring as a whole indicate the formation of herd immunity in this cohort. Monitoring the intensity of the individual immune response to SARS-CoV-2 throughout the year reflects the natural course of the infectious process and is the basis     for vaccination against COVID-19. The results of serological monitoring can be used to predict the epidemiological situation, plan specific and non-specific COVID-19, personalization of vaccination.
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