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. 2022 Jun 2;11(11):3187.
doi: 10.3390/jcm11113187.

Effect of Third and Fourth mRNA-Based Booster Vaccinations on SARS-CoV-2 Neutralizing Antibody Titer Formation, Risk Factors for Non-Response, and Outcome after SARS-CoV-2 Omicron Breakthrough Infections in Patients on Chronic Hemodialysis: A Prospective Multicenter Cohort Study

Affiliations

Effect of Third and Fourth mRNA-Based Booster Vaccinations on SARS-CoV-2 Neutralizing Antibody Titer Formation, Risk Factors for Non-Response, and Outcome after SARS-CoV-2 Omicron Breakthrough Infections in Patients on Chronic Hemodialysis: A Prospective Multicenter Cohort Study

Frank-Peter Tillmann et al. J Clin Med. .

Abstract

The aim of this study is to determine the effect of repeated vaccinations on neutralizing SARS-CoV-2 IgG antibody titers, evaluate risk factors for immunological non-response, and to report breakthrough infections in chronic hemodialysis patients.

Methods: A prospective, multi-center cohort study in 163 chronic hemodialysis patients was conducted. Antibody titers were measured three months after second, third, and fourth (10 pts) booster vaccinations. SARS-CoV-2 neutralizing antibody titers in BAU/mL and % inhibition were divided into three categories (<216, 216-433, >433 and <33, 33-66, and >66%). Somers's test, paired t-test, and univariable and multivariable logistic regression analysis were applied to evaluate differences in antibody levels and search for risk factors for vaccination failure defined as neutralizing titers <50% and/or need for repeated booster vaccinations. Furthermore, we report on a case series to describe characteristics of patients after four vaccinations (n = 10) and breakthrough infections (n = 20).

Results: Third dose boosters resulted in higher proportions of patients with neutralizing antibody levels >66% as compared to after the second dose (64.7% after second dose vs. 88.9% after third dose, p = 0.003), as well as in a respective increase in neutralizing titer levels in % from 68 ± 33% to 89 ± 24 (p <0.001). The proportion of patients with IgG-titers below 216 BAU/mL decreased from 38.6 to 10.5% (p ≤ 0.001). Age (p = 0.004, OR 1.066, 95% CI 1.020-1.114) and presence of immunosuppressive medications (p = 0.002, OR 8.267, 95% CI 2.206-30.975) were identified as major risk factors for vaccination failure. Repeated booster vaccinations ≥4 times were effective in 8 out of 10 former low-responders (80%) without any side effects or safety concerns. Breakthrough infections showed a clinically mild course but were associated with prolonged viral shedding on PCR-testing ranging 7-29 (mean 13) days.

Conclusions: Third and fourth mRNA-based booster vaccinations resulted in higher and longer lasting SARS-CoV-2 antibody levels as compared to after two dosages. The presence of immunosuppressive medication and repeat vaccinations are major potentially modifiable measures to increase antibody levels in non-or low-responders. Breakthrough infections with SARS-CoV-2 Omicron were associated with prolonged viral shedding but clinically mild disease courses.

Keywords: COVID-19; SARS-CoV-2; booster vaccination; breakthrough infection; hemodialysis; neutralizing antibodies; omicron; vaccination failure.

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Conflict of interest statement

This research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors. The authors declare that they have no relevant financial interests.

Figures

Figure 1
Figure 1
% of participants with SARS-CoV-2 antibodies in categories (BAU/mL) after a third (booster) vaccination in 153 chronic hemodialysis patients.

References

    1. Yang Z.H., Pan X.T., Chen Y., Wang L., Chen Q.X., Zhu Y., Zhu Y.-J., Chen Y.-X., Chen Y.-N. Psychological profiles of Chinese patients with hemodialysis during the pandemic of coronavirus disease 2019. Front. Psychiatry. 2021;12:616016. doi: 10.3389/fpsyt.2021.616016. - DOI - PMC - PubMed
    1. Couchoud C., Bayer F., Ayav C., Béchade C., Brunet P., Chantrel F., Frimat L., Galland R., Laurain E., Lobbedez T., et al. Low incidence of SARS-CoV-2, risk factors of mortality and the course of illness in the French national cohort of dialysis patients. Kidney Int. 2020;98:1519–1529. doi: 10.1016/j.kint.2020.07.042. - DOI - PMC - PubMed
    1. Alberici F., Delbarba E., Manenti C., Manenti C., Econimo L., Valerio F., Pola A., Maffei C., Possenti S., Lucca B., et al. A report from the Brescia Renal COVID Task Force on the clinical characteristics and short-term outcome of hemodialysis patients with SARS-CoV-2 infection. Kidney Int. 2020;98:20–26. doi: 10.1016/j.kint.2020.04.030. - DOI - PMC - PubMed
    1. Hoxha E., Suling A., Turner J.J.E., Haubitz M., Floege J., Huber T.B., Galle J.C. COVID-19 prevalence, and mortality in chronic dialysis patients. Dtsch. Arztebl. Int. 2021;118:195–196. doi: 10.3238/arztebl.m2021.0160. - DOI - PMC - PubMed
    1. Williamson E.J., Walker A.J., Bhaskaran K., Bacon S., Bates C., Morton C.E., Curtis H.J., Mehrkar A., Evans D., Inglesby P., et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature. 2020;584:430–436. doi: 10.1038/s41586-020-2521-4. - DOI - PMC - PubMed

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