{"title":"日本备前市 SARS-CoV-2 Omicron 阶段的抗体滴度和感染风险","authors":"Tomoka Kadowaki, Ayako Sasaki, Naomi Matsumoto, Toshiharu Mitsuhashi, Hideharu Hagiya, Soshi Takao, Takashi Yorifuji","doi":"10.1093/infdis/jiae207","DOIUrl":null,"url":null,"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.","PeriodicalId":501010,"journal":{"name":"The Journal of Infectious Diseases","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Antibody titers and the risk of infection during the SARS-CoV-2 Omicron phase in Bizen City, Japan\",\"authors\":\"Tomoka Kadowaki, Ayako Sasaki, Naomi Matsumoto, Toshiharu Mitsuhashi, Hideharu Hagiya, Soshi Takao, Takashi Yorifuji\",\"doi\":\"10.1093/infdis/jiae207\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":501010,\"journal\":{\"name\":\"The Journal of Infectious Diseases\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of Infectious Diseases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/infdis/jiae207\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Infectious Diseases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/infdis/jiae207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Antibody titers and the risk of infection during the SARS-CoV-2 Omicron phase in Bizen City, Japan
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.