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接种疫苗的医护人员在重复进行血清学采样时 COVID-19 抗体的时间趋势:ORCHESTRA 队列中 13 个月内的个体水平分析。

Temporal trends of COVID-19 antibodies in vaccinated healthcare workers undergoing repeated serological sampling: An individual-level analysis within 13 months in the ORCHESTRA cohort.

机构信息

Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.

Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.

出版信息

Front Immunol. 2023 Jan 11;13:1079884. doi: 10.3389/fimmu.2022.1079884. eCollection 2022.

Abstract

SHORT SUMMARY

We investigated changes in serologic measurements after COVID-19 vaccination in 19,422 subjects. An individual-level analysis was performed on standardized measurements. Age, infection, vaccine doses, time between doses and serologies, and vaccine type were associated with changes in serologic levels within 13 months.

BACKGROUND

Persistence of vaccine immunization is key for COVID-19 prevention.

METHODS

We investigated the difference between two serologic measurements of anti-COVID-19 S1 antibodies in an individual-level analysis on 19,422 vaccinated healthcare workers (HCW) from Italy, Spain, Romania, and Slovakia, tested within 13 months from first dose. Differences in serologic levels were divided by the standard error of the cohort-specific distribution, obtaining standardized measurements. We fitted multivariate linear regression models to identify predictors of difference between two measurements.

RESULTS

We observed a progressively decreasing difference in serologic levels from <30 days to 210-240 days. Age was associated with an increased difference in serologic levels. There was a greater difference between the two serologic measurements in infected HCW than in HCW who had never been infected; before the first measurement, infected HCW had a relative risk (RR) of 0.81 for one standard deviation in the difference [95% confidence interval (CI) 0.78-0.85]. The RRs for a 30-day increase in time between first dose and first serology, and between the two serologies, were 1.08 (95% CI 1.07-1.10) and 1.04 (95% CI 1.03-1.05), respectively. The first measurement was a strong predictor of subsequent antibody decrease (RR 1.60; 95% CI 1.56-1.64). Compared with Comirnaty, Spikevax (RR 0.83, 95% CI 0.75-0.92) and mixed vaccines (RR 0.61, 95% CI 0.51-0.74) were smaller decrease in serological level (RR 0.46; 95% CI 0.40-0.54).

CONCLUSIONS

Age, COVID-19 infection, number of doses, time between first dose and first serology, time between serologies, and type of vaccine were associated with differences between the two serologic measurements within a 13-month period.

摘要

简介

我们研究了 19422 名受试者接种 COVID-19 疫苗后的血清学测量变化。在个体水平上对标准化测量进行了分析。年龄、感染、疫苗剂量、两剂之间的时间和血清学以及疫苗类型与 13 个月内的血清学水平变化有关。

背景

疫苗免疫的持久性是 COVID-19 预防的关键。

方法

我们在个体水平上对来自意大利、西班牙、罗马尼亚和斯洛伐克的 19422 名接种疫苗的医护人员(HCW)进行了两次抗 COVID-19 S1 抗体血清学测量的个体水平分析,这些医护人员在首次接种后 13 个月内进行了检测。通过将血清学水平的差异除以队列特异性分布的标准误差,得到标准化测量。我们拟合了多变量线性回归模型,以确定两次测量差异的预测因素。

结果

我们观察到血清学水平的差异从<30 天到 210-240 天逐渐减小。年龄与血清学水平差异增加有关。与从未感染过的 HCW 相比,感染的 HCW 两次血清学测量之间的差异更大;在第一次测量之前,感染的 HCW 差异的相对风险(RR)为 0.81 [95%置信区间(CI)0.78-0.85]。首次剂量与首次血清学检查之间 30 天时间的增加,以及两次血清学检查之间时间的增加,RR 分别为 1.08(95%CI 1.07-1.10)和 1.04(95%CI 1.03-1.05)。第一次测量是随后抗体下降的有力预测因素(RR 1.60;95%CI 1.56-1.64)。与 Comirnaty 相比,Spikevax(RR 0.83,95%CI 0.75-0.92)和混合疫苗(RR 0.61,95%CI 0.51-0.74)的血清学水平下降幅度较小(RR 0.46;95%CI 0.40-0.54)。

结论

年龄、COVID-19 感染、疫苗剂量、首剂与首剂血清学检查之间的时间、血清学检查之间的时间以及疫苗类型与 13 个月内两次血清学测量之间的差异有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2366/9875291/1da17d3da2ac/fimmu-13-1079884-g001.jpg

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