Low clinical protective response to SARS-CoV-2 mRNA COVID-19 vaccine in patients with multiple myeloma.
Toshiki TeraoTakeshi YamashitaAmi FukumotoYuya KamuraDaisuke IkedaAyumi KuzumeRikako TabataTakafumi TsushimaDaisuke MiuraKentaro NaritaMasami TakeuchiMasahiro DoiYuka UmezawaYoshihito OtsukaHiroyuki TakamatsuMatsue KoseiPublished in: International journal of hematology (2022)
We conducted a prospective, three-center, observational study in Japan to evaluate the prevalence of seropositivity and clinically protective titer after coronavirus disease 2019 vaccination in patients with plasma cell dyscrasia(PCD). Two-hundred sixty-nine patients with PCD [206 symptomatic multiple myeloma (MM)] were evaluated. Seropositivity was observed in 88.7% and a clinically protective titer in 38.3% of MM patients, both of which were significantly lower than those of healthy controls. Patients receiving anti-CD38 antibodies had much lower antibody titers, but antibody titers recovered in those who underwent a wash-out period before vaccine administration. Older age (≥65), anti-CD38 antibody administration, immunomodulatory drugs use, lymphopenia (<1000/μL), and lower polyclonal IgG (<550 mg/dL) had a negative impact for the sufficient antibody production according to multivariate analysis. Patients with clinically protective titer had a significantly higher number of CD19+ lymphocytes than those with lower antibody responses (114 vs. 35/μL, p = 0.016). Our results suggested that patients with PCD should be vaccinated, and that the ideal protocol is to temporarily interrupt anti-CD38 antibody therapy for a "wash-out" period of a few months, followed by a (booster) vaccine after the B-cells have recovery.
Keyphrases
- coronavirus disease
- sars cov
- multiple myeloma
- end stage renal disease
- randomized controlled trial
- newly diagnosed
- respiratory syndrome coronavirus
- stem cells
- chronic kidney disease
- risk factors
- physical activity
- prognostic factors
- mesenchymal stem cells
- bone marrow
- patient reported outcomes
- middle aged
- data analysis