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接种疫苗后的抗体滴度可预测自身免疫性疾病患者对 COVID-19 的保护作用:前瞻性队列研究中的生存分析。

Postvaccination antibody titres predict protection against COVID-19 in patients with autoimmune diseases: survival analysis in a prospective cohort.

机构信息

Clinical Immunology & Rheumatology, Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India.

Clinical Immunology and Rheumatology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.

出版信息

Ann Rheum Dis. 2022 Jun;81(6):868-874. doi: 10.1136/annrheumdis-2021-221922. Epub 2022 Feb 8.

Abstract

INTRODUCTION

To assess the incidence and risk factors for breakthrough COVID-19 infection in a vaccinated cohort of patients with autoimmune rheumatic diseases (AIRDs) and determine whether antibodies to receptor binding domain of spike protein (anti-RBD) serve as a reliable predictor of susceptibility to such infections.

METHODS

Patients with AIRDs who had completed two doses of SARS-CoV2 vaccines were included and anti-RBD antibodies were determined 4-6 weeks post the second vaccine dose and stratified into good responders (GR) (>212 IU), inadequate responders (IR) (0.8-212 IU) and non-responders (NR) (<0.8 IU). Patients who had completed a minimum of 8 weeks interval after the second dose of vaccine were followed up every 2 months to identify breakthrough infections. All sero converted patients who had contact with COVID-19 were also analysed for neutralising antibodies.

RESULTS

We studied 630 patients of AIRDs (mean age 55.2 (±11.6) years, male to female ratio of 1:5.2). The majority of patients had received AZD1222 (495, 78.6%) while the remaining received the BBV152 vaccine. The mean antibody titre was 854.1 (±951.9), and 380 (60.3%) were GR, 143 (22.7%) IR and 107 (16.9%) NR.Breakthrough infections occurred in 47 patients (7.4%) at a mean follow-up of 147.3 (±53.7) days and were proportionately highest in the NR group (19; 17.75%), followed by the IR group (13; 9.09%) and least in the GR group (15; 3.95%). On log-rank analysis, antibody response (p<0.00001), vaccine(p=0.003) and mycophenolate mofetil (p=0.007) were significant predictors of breakthrough infections. On multivariate Cox regression, only NR were significantly associated with breakthrough infections (HR: 3.6, 95% CI 1.58 to 8.0, p=0.002). In sero converted patients with contact with COVID-19, neutralisation levels were different between those who developed and did not develop an infection.

CONCLUSION

Breakthrough infections occurred in 7.4% of patients and were associated with seronegativity following vaccination. This provides a basis for exploring postvaccination antibody titres as a biomarker in patients with AIRD.

摘要

简介

评估接种 COVID-19 疫苗的自身免疫性风湿病(AIRD)患者队列中突破性 COVID-19 感染的发生率和危险因素,并确定针对刺突蛋白受体结合域的抗体(抗-RBD)是否可作为易感性此类感染的可靠预测指标。

方法

纳入已完成两剂 SARS-CoV2 疫苗接种的 AIRD 患者,并在第二剂疫苗接种后 4-6 周测定抗-RBD 抗体,并根据抗体水平分为良好反应者(GR)(>212IU)、反应不足者(IR)(0.8-212IU)和无反应者(NR)(<0.8IU)。在第二剂疫苗接种后至少 8 周的间隔后完成疫苗接种的患者每隔 2 个月进行一次随访,以确定突破性感染。所有血清学转换患者如果与 COVID-19 有接触,也分析其中和抗体。

结果

我们研究了 630 名 AIRD 患者(平均年龄 55.2(±11.6)岁,男女比例为 1:5.2)。大多数患者接受了 AZD1222(495,78.6%),而其余患者接受了 BBV152 疫苗。平均抗体滴度为 854.1(±951.9),其中 380 名(60.3%)为 GR,143 名(22.7%)为 IR,107 名(16.9%)为 NR。突破性感染发生在 47 名患者(7.4%)中,平均随访 147.3(±53.7)天,NR 组比例最高(19 例;17.75%),其次是 IR 组(13 例;9.09%),GR 组最低(15 例;3.95%)。对数秩分析显示,抗体反应(p<0.00001)、疫苗(p=0.003)和吗替麦考酚酯(p=0.007)是突破性感染的显著预测因子。多变量 Cox 回归分析显示,仅 NR 与突破性感染显著相关(HR:3.6,95%CI 1.58-8.0,p=0.002)。在与 COVID-19 有接触的血清学转换患者中,发生和未发生感染的患者之间的中和水平不同。

结论

7.4%的患者发生突破性感染,与疫苗接种后的血清阴性有关。这为探索 AIRD 患者接种疫苗后的抗体滴度作为生物标志物提供了依据。

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