Antibody titers and the risk of infection during the SARS-CoV-2 Omicron phase in Bizen City, Japan

Tomoka Kadowaki, Ayako Sasaki, Naomi Matsumoto, Toshiharu Mitsuhashi, Hideharu Hagiya, Soshi Takao, Takashi Yorifuji
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Abstract

Background Understanding the association between the immune response and the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has implications for forthcoming prevention strategies. We evaluated the association between antibody titers and the risk of infection for the general population during the Omicron-dominant phase. Methods This was a prospective cohort study of residents or people affiliated with institutions in Bizen City, which included 1,899 participants. We measured the titers of antibodies against SARS-CoV-2 repeatedly every 2 months from June 2022 to March 2023. Infection status was obtained from self-reported questionnaires and the official registry. We estimated risk ratios (RRs) for infection within 2 months of the date of each antibody measurement with 95% confidence intervals (CIs) based on antibody titer categories and spline functions. Results Compared with the <2,500 arbitrary unit (AU)/mL category, the 2,500–5,000, 5,000–10,000, and ≥10,000 AU/mL categories had adjusted RRs (95% CI) of 0.81 (0.61–1.08), 0.51 (0.36–0.72), and 0.41 (0.31–0.54), respectively. The spline function showed a non-linear relationship between antibody titer and risk. Conclusions Higher antibody titers were associated with a lower risk. We demonstrate the usefulness of measuring an antibody titers to determine the appropriate timing for future vaccination.
日本备前市 SARS-CoV-2 Omicron 阶段的抗体滴度和感染风险
背景 了解免疫反应与严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2)感染风险之间的关系对即将实施的预防策略具有重要意义。我们评估了抗体滴度与普通人群在 Omicron 主导阶段的感染风险之间的关系。方法 这是一项前瞻性队列研究,研究对象为备前市的居民或机构附属人员,共包括 1,899 名参与者。从 2022 年 6 月到 2023 年 3 月,我们每两个月重复测量一次 SARS-CoV-2 抗体滴度。感染状况通过自我报告问卷和官方登记册获得。我们根据抗体滴度类别和样条函数估算了每次抗体测定后 2 个月内感染的风险比 (RRs),以及 95% 的置信区间 (CIs)。结果 与<2,500任意单位(AU)/毫升类别相比,2,500-5,000、5,000-10,000和≥10,000 AU/毫升类别的调整RR(95% CI)分别为0.81(0.61-1.08)、0.51(0.36-0.72)和0.41(0.31-0.54)。曲线函数显示抗体滴度与风险之间存在非线性关系。结论 抗体滴度越高风险越低。我们证明了测量抗体滴度对于确定未来接种疫苗的适当时机非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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