| Literature DB >> 36104663 |
Frederic Arnold1,2, Daniela Huzly3, Yakup Tanriver1,2, Thomas Welte4,5.
Abstract
BACKGROUND: Effective SARS-CoV-2 vaccination in patients receiving treatment with B-cell depleting agents is challenging. Information on vaccination responses in these patients are a valuable tool to develop efficient vaccination regimens.Entities:
Keywords: CD20; COVID-19; Kidney; Rituximab; SARS-CoV-2
Mesh:
Substances:
Year: 2022 PMID: 36104663 PMCID: PMC9472190 DOI: 10.1186/s12879-022-07722-7
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.667
Humoral and cellular vaccination response
| Humoral | Cellular | |||||
|---|---|---|---|---|---|---|
| No response | Response | P | No response | Response | p | |
| Patients, n (%) | 21 (61.8) | 13 (38.2) | 2 (8.0) | 23 (92.0) | ||
| Female, n (%) | 8 (38.1) | 7 (54.8) | 0 (0.0) | 9 (39.1) | ||
| Mean Age at vaccination (SD) | 62.6 (15.7) | 53.5 (18.5) | 0.07 | 66.0 (22.6) | 55.7 (16.9) | † |
| Cause for Immunosuppression | ||||||
| AAV, n (%) | 18 (85.7) | 4 (30.8) | 2 (100.0) | 12 (52.2) | ||
| FSGS, n (%) | 1 (4.8) | 0 (0.0) | 0 (0.0) | 1 (4.3) | ||
| MGN, n (%) | 1 (4.8) | 2 (15.4) | 0 (0.0) | 2 (8.7) | ||
| MC, n (%) | 1 (4.8) | 2 (15.4) | 0 (0.0) | 3 (13.0) | ||
| TMA, n (%) | 0 (0.0) | 4 (30.8) | 0 (0.0) | 4 (17.4) | ||
| M. Goodpasture, n (%) | 0 (0.0) | 1 (7.7) | 0 (0.0) | 1 (4.3) | ||
| Current immunosuppression | ||||||
| Anti-CD20 antibody | ||||||
| Regular regimen, n (%) | 17 (81.0) | 3 (23.1) | 2 (100.0) | 12 (52.2) | ||
| Irregular regimen, n (%) | 4 (19.0) | 10 (76.9) | 0 (0.0) | 11 (47.8) | ||
| Steroid, n (%) | 12 (57.1) | 1 (7.7) | 2 (100.0) | 6 (26.1) | ||
| Hydroxychloroquine, n (%) | 0 (0.0) | 1 (7.7) | 1 (50.0) | 0 (0.0) | ||
| Previous immunosuppression | ||||||
| Cyclophosphamide, n (%) | 13 (61.9) | 5 (38.5) | 2 (100.0) | 9 (39.1) | ||
| High-dose Steroid, n (%) | 20 (95.2) | 13 (100.0) | 2 (100.0) | 22 (95.7) | ||
| Mycophenolate Mofetil, n (%) | 5 (23.8) | 3 (23.1) | 0 (0.0) | 8 (34.8) | ||
| Azathioprine, n (%) | 1 (4.8) | 1 (7.7) | 0 (0.0) | 2 (8.7) | ||
| Cyclosporine A, n(%) | 5 (23.8) | 3 (23.1) | 0 (0.0) | 8 (34.8) | ||
| Leflunomide, n (%) | 1 (4.7) | 0 (0.0) | 0 (0.0) | 1 (4.3) | ||
| Metotrexate, n (%) | 1 (4.3) | 0 (0.0) | 0 (0.0) | 1 (4.3) | ||
| Kidney function | ||||||
| eGFR, CKD-EPI; ml/min/1.73m2 (SD) | 47.4 (25.5) | 63.2 (26.9) | 0.11 | 53.5 (30.4) | 60.2 (24.0) | † |
| Proteinuria, g/g (SD) | 1.2 (3.0) | 1.0 (1.9) | 0.30 | 0.5 (0.6) | 1.2 (3.0) | † |
| Hematuria, Stix (SD) | 1.4 (1.3) | 0.7 (0.8) | 0.15 | 0.5 (0.7) | 1.1 (1.2) | † |
| Vaccines used | ||||||
| 2 × BNT162b2, n (%) | 16 (76.2) | 9 (69.2) | 2 (100.0) | 15 (65.2) | ||
| 2 × mRNA-1273, n (%) | 1 (4.8) | 0 (0.0) | 0 (0.0) | 1 (4.3) | ||
| 2 × ChAdOx1, n (%) | 1 (4.8) | 2 (15.4) | 0 (0.0) | 3 (13.0) | ||
| 1 × Ad26.COV2.S, n (%) | 2 (9.5) | 1 (7.7) | 0 (0.0) | 2 (8.7) | ||
| 1 × ChAdOx1, 1 × BNT162b2, n (%) | 1 (4.7) | 0 (0.0) | 0 (0.0) | 1 (4.3) | ||
| 1 × ChAdOx1, 1 × mRNA-1273, n (%) | 0 (0.0) | 1 (7.7) | 0 (0.0) | 1 (4.3) | ||
| Vaccination characteristics | ||||||
| Days anti-CD20 antibody to 1st vaccination (SD) | 111.2 (51.7) | 553.5 (553.8) | < 0.01 | 131.0 (50.9) | 327.4 (453.5) | † |
| CD19 counts at vaccination, cells/µl (SD) | 1.2 (4.6) | 146.1 (241.1) | < 0.01 | 0.5 (0.7) | 74.4 (191.9) | † |
Days between 1st and 2nd vaccine (SD) | 44.8 (17.6) | 42.3 (22.2) | 0.26 | 30.0 (7.1) | 46.6 (21.0) | † |
| Days full vaccination to laboratory analysis (SD) | 35.7 (29.6) | 46.6 (36.7) | 0.30 | 83.0 (49.5) | 40.0 (32.9) | † |
P-values were calculated using Wilcoxon-Mann–Whitney test. †P-values not reported, as n = 2 in cellular no-response group. AAV ANCA-associates vasculitis, FSGS Focal segmental glomerulosclerosis, MGN Membranous glomerulopathy, MC Minimal Change disease, SD Standard deviation, TMA Thrombotic microangiopathy
Fig. 1SARS-CoV-2 Vaccination response correlates with CD19 cell count at vaccination, and with the interval size between Rituximab treatment and vaccination. A Scatter plot showing correlation between CD19 counts and anti- SARS-CoV-2-S1 IgGs. A linear regression model was fitted to the data. B Scatter plot showing correlation between days between Rituximab to 1st vaccination and anti-SARS-CoV-2-S1 IgGs. C Scatter plot showing correlation between days between Rituximab to 1st vaccination and CD19 counts. In (B), and (C), a generalized additive regression model was fitted to the data. In A-C, patients with positive humoral response are plotted in red, patients without humoral response are plotted in black. Black dashed lines indicate regression models fitted to the data. Grey areas indicate 95% confidence interval of the regression models. Dashed red lines indicate the cutoff for positive humoral response (≥ 21.8 BAU/ml), CD19 counts (> 21/µl), and days from anti-CD19-treatment to 1st vaccination (> 197), above which humoral response was recorded for all patients, respectively