SARS-CoV-2 SPIKE Antibody Levels can Indicate Immuno-Resilience to Re-infection: a Real-World Study
Abstract Introduction The use of antibody titers against SARS-CoV-2, as a method of estimating subsequent infection following infection or vaccination, is unclear. Here, we investigate whether specific levels of antibodies, as markers of adaptive immunity, can serve to estimate the risk of symptomat...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Adis, Springer Healthcare
2024-12-01
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| Series: | Infectious Diseases and Therapy |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40121-024-01090-2 |
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| Summary: | Abstract Introduction The use of antibody titers against SARS-CoV-2, as a method of estimating subsequent infection following infection or vaccination, is unclear. Here, we investigate whether specific levels of antibodies, as markers of adaptive immunity, can serve to estimate the risk of symptomatic SARS-CoV-2 (re-) infection. Methods In this real-world study, laboratory data from individuals tested for SARS-CoV-2 antibodies under routine clinical conditions were linked through tokenization to a United States medical insurance claims database to determine the risk of symptomatic/severe SARS-CoV-2 infection outcomes. Antibody titer levels were determined using the Elecsys® Anti-SARS-CoV-2 S assay. Study outcomes included the first symptomatic SARS-CoV-2 infection (per ICD-10 diagnostic codes, occurring ≥ 7 days post-antibody titer test), and severe SARS-CoV-2 infection, characterized by adverse outcomes including hospitalization, intensive care unit admission, intubation, mechanical ventilation, or death within 30 days of infection. All outcomes were assessed for 12 months following antibody measurement. Hazard ratios of subsequent symptomatic and severe infections were estimated using Cox regression with inverse probability weighting. Results Of 268,844 individuals with antibody data (April 2021–June 2022), those with levels ≥ 0.8 to < 1,000 U/mL had a 42% reduced risk of symptomatic infection within 12 months, compared with < 0.8 U/mL (HR = 0.58, 95% CI [0.55, 0.61]). The risk decreased by 53% (HR = 0.47, 95% CI [0.45, 0.49]) with ≥ 1000 to < 2500 U/mL and by 62% (HR = 0.38 [0.36, 0.39]) for ≥ 2500 U/mL. Risk of severe SARS-CoV-2 outcomes was also reduced. Subgroup analyses showed a consistent association between antibody levels and infection risk, by immune status and age. Clinically meaningful thresholds of antibody titers varied between Delta and Omicron infections. Conclusion Higher antibody titer levels indicated reduced risk of developing symptomatic or severe COVID-19. Titers of ≥ 2500 U/mL indicated a 62–87% reduced infection risk. The quantitative determination of antibody titers allowed scaling of the correlate of risk to new variants. |
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| ISSN: | 2193-8229 2193-6382 |