| Literature DB >> 35411376 |
Yusuke Kashiwado1, Yasutaka Kimoto1, Takuya Sawabe2, Kensuke Irino2, Shota Nakano2, Junki Hiura1, Qiaolei Wang3, Shotaro Kawano3, Masahiro Ayano3, Hiroki Mitoma3, Nobuyuki Ono3, Yojiro Arinobu3, Hiroaki Niiro4, Taeko Hotta5, Dongchon Kang5, Koichi Akashi3, Shiro Ohshima6, Tsutomu Takeuchi7, Takahiko Horiuchi1.
Abstract
OBJECTIVES: To evaluate the impact of medication on antibody response to SARS-CoV-2 mRNA vaccines in Japanese patients with rheumatic diseases.Entities:
Keywords: COVID-19 vaccines; antirheumatic agents; immunosuppressive agents; rheumatic diseases
Year: 2022 PMID: 35411376 PMCID: PMC9047194 DOI: 10.1093/mr/roac030
Source DB: PubMed Journal: Mod Rheumatol ISSN: 1439-7595 Impact factor: 2.862
Demographic characteristics of patients and anti-SAR-CoV2 RBD antibody after the second mRNA vaccination.
| Characteristics | Total number of patients | Seroconversion | p value | Anti-SARS-CoV2 RBD antibody titer | |
|---|---|---|---|---|---|
| Number | Rate (%) | ||||
| Gender | |||||
| Male | 78 | 74 | 94.9 | 0.46 | 250.5 (64.5–641) |
| Female | 217 | 198 | 91.2 | 255 (24.9–718) | |
| Age | |||||
| 20–39 | 36 | 34 | 94.4 | 0.95 | 572 (67.3–1657) |
| 40–64 | 169 | 155 | 91.7 | 317 (51.5–800) | |
| ≥ 65 | 90 | 83 | 92.2 | 134.5 (23.8–325) | |
| Race | |||||
| Asian | 295 | – | – | – | |
| Immunologic diagnosis | |||||
| Rheumatoid arthritis | 176 | 172 | 97.7 | <0.01 | 250.5 (51.7–641.5) |
| Systemic lupus erythematosus | 43 | 33 | 76.7 | 122 (2.09–674) | |
| Spondyloarthritis | 15 | 15 | 100 | 536 (246–763) | |
| Polymyositis/Dermatomyositis | 14 | 12 | 85.7 | 80.7 (13–1954) | |
| Scleroderma | 7 | 6 | 85.7 | 31.9 (2.7–481) | |
| Vasculitis | 7 | 4 | 57.1 | 19.5 (0–194) | |
| Behçet’s disease | 7 | 7 | 100 | 288 (111–475) | |
| Mixed connective tissue disease | 6 | 5 | 83.3 | 206 (49.8–2159) | |
| Castleman disease | 5 | 4 | 80 | 126 (78.2–1124) | |
| Other | 15 | 14 | 93.3 | 824 (338–1683) | |
| Medication group | |||||
| SSZ and/or BUC | 20 | 20 | 100 | <0.01 | 831.5 (451–1451.5) |
| MTX | 40 | 40 | 100 | 228.5 (59.5–742.5) | |
| IGUR | 11 | 11 | 100 | 457 (245–1170) | |
| TNFi with MTX | 42 | 41 | 97.6 | 104 (33.2–260)* | |
| TNFi without MTX | 24 | 24 | 100 | 317.5 (169.5–594.5) | |
| IL6i without MTX | 43 | 41 | 95.4 | 348 (131–857) | |
| ABT without MTX | 21 | 19 | 90.5 | 48.2 (17.9–182)* | |
| JAKi without MTX | 14 | 13 | 92.9 | 310.5 (71.2–626) | |
| CNI | 38 | 37 | 97.4 | 833 (164–1882) | |
| MMF | 14 | 9 | 64.3 | 3.24 (0–34)* | |
| MMF or MZR combined with a CNI | 19 | 11 | 57.9 | 5.5 (0–21)* | |
| RTX or CPA in the past year | 9 | 6 | 66.7 | 19.5 (0–142)* | |
| Glucocorticoid dose (prednisone equivalent) | |||||
| 0 mg/day | 147 | 146 | 99.3 | <0.01 | 317 (104–820) |
| >0 ≤ 5 mg/day | 111 | 98 | 88.3 | 193 (22.4–674) | |
| >5 ≤ 10 mg/day | 37 | 28 | 75.7 | 15.5 (2.1–338) | |
p-values were calculated using Fisher’s exact test. The asterisked treatment groups had significantly lower antibody titres than the SSZ/BUC and CNI groups (p < 0.01, Kruskal–Wallis test followed by Bonferroni–Dunn test).
Figure 1.Box plot distribution of anti-SARS-CoV2 RBD antibody titres among medication groups.
Multiple linear regression analysis for log transformed SARS-CoV2 RBD antibody titers.
| Variable | Beta coefficient (95% CI) |
|
|---|---|---|
| Gender: female | −0.04 (−0.24 to 0.16) | 0.71 |
| Age: per 1-year increase | −0.01 (−0.02 to −0.01) | <0.01 |
| Glucocorticoid dose: per 1 mg/body increase (prednisone equivalent) | −0.08 (−0.12 to −0.04) | <0.01 |
| Medication group | ||
| Other than below | 0 (Ref.) | – |
| SSZ or BUC | 0.54 (0.18 to 0.90) | <0.01 |
| CNI | 0.43 (0.14 to 0.73) | <0.01 |
| TNFi with MTX | −0.50 (−0.77 to −0.23) | <0.01 |
| ABT without MTX | −0.65 (−1.00 to −0.29) | <0.01 |
| RTX or CPA | −0.80 (−1.35 to −0.25) | <0.01 |
| MMF or MZR combined with a CNI | −1.21 (−1.61 to −0.80) | <0.01 |
| MMF | −1.26 (−1.70 to −0.82) | <0.01 |
Adjusted R2 = 0.34. All variables are adjusted by each other.