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Seroconversion to mRNA SARS-CoV-2 Vaccines in Hematologic Patients
Bruno Fattizzo1,2, Marta Bortolotti1,2, Nicolò Rampi1,2
1Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Frontiers in Immunology
|May 31, 2022
Summary
Hematologic patients often have reduced responses to SARS-CoV-2 mRNA vaccines. Key predictors of seroconversion include diagnosis, B-cell-depleting therapy, and IgG levels, informing vaccine timing strategies.
Area of Science:
- Immunology
- Hematology
- Vaccinology
Background:
- Hematologic patients exhibit diminished immune responses to SARS-CoV-2 vaccines.
- Predictors for successful seroconversion following vaccination in this population remain largely undefined.
Purpose of the Study:
- To identify predictors of seroconversion after SARS-CoV-2 mRNA vaccination in hematologic patients.
- To develop a predictive algorithm for vaccine non-response in this cohort.
Main Methods:
- Prospective cohort study of 393 hematologic patients receiving BNT162b2 or mRNA-1273 vaccines.
- Measurement of anti-Spike and anti-Nucleocapsid IgG titers at 5 weeks and 3 months post-vaccination.
- Multivariable analysis to identify factors associated with seroconversion.
Main Results:
- Overall, 72% of patients seroconverted, with 100% persistence at 3 months.
- Non-response was more prevalent in chronic lymphocytic leukemia (CLL) and lymphoma patients, and those on small molecules or monoclonal antibodies.
- Favorable predictors for seroconversion included diagnoses other than indolent lymphoma/CLL, absence of B-cell-depleting therapy, and normal IgG levels.
Conclusions:
- A predictive algorithm based on diagnosis, B-cell-depleting therapy, and IgG levels can identify hematologic patients at risk of non-response to SARS-CoV-2 mRNA vaccines.
- IgG levels and treatment regimens are potentially modifiable factors that warrant consideration for optimizing vaccine administration timing in hematologic patients.
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