| Literature DB >> 36199139 |
Ingrid Egeland Christensen1,2, Ingrid Jyssum3,4, Fridtjof Lund-Johansen5,6, Kristin Kaasen Jørgensen7, Silje Watterdal Syversen3, Guro Løvik Goll3, Sella Aarrestad Provan3,8, Anne Therese Tveter3, Joseph Sexton3, Trung T Tran5, Siri Mjaaland9, Grete Birkeland Kro10, Tore K Kvien3,4, David John Warren11, Jørgen Jahnsen4,7, Ludvig A Munthe4,5,12, Espen A Haavardsholm3,4, John Torgils Vaage4,5, Gunnveig Grødeland4,5.
Abstract
BACKGROUND: The durability of vaccine-induced humoral immunity against SARS-CoV-2 in patients with immune-mediated inflammatory diseases (IMIDs) on immunosuppressive therapy is not known. The aim of this study was to compare the persistence of anti-Spike antibodies following two-dose SARS-CoV-2 vaccination between IMID patients and healthy controls and to identify factors associated with antibody decline.Entities:
Keywords: COVID-19; Inflammatory bowel disease; Rheumatic diseases; SARS-CoV-2 vaccine; Serologic response
Mesh:
Substances:
Year: 2022 PMID: 36199139 PMCID: PMC9534475 DOI: 10.1186/s12916-022-02587-8
Source DB: PubMed Journal: BMC Med ISSN: 1741-7015 Impact factor: 11.150
Characteristics of the participants
| Controls ( | Patients ( | Rheumatoid arthritis ( | Psoriatic arthritis ( | Spondyloarthritis ( | Ulcerative colitis ( | Crohn’s disease ( | |
|---|---|---|---|---|---|---|---|
| Age (years), median (IQR) | 45.6 (34.9–56.1) | 54.3 (43.2–64.1) | 61.2 (51.3–69.1) | 57.9 (48.3–64.7) | 50.5 (42.0–59.2) | 45.7 (33.4–54.6) | 43.0 (29.6–53.9) |
| Female, | 111 (83) | 617 (56) | 308 (76) | 104 (53) | 75 (38) | 53 (43) | 77 (40) |
| Male, | 23 (17) | 491 (44) | 95 (24) | 91 (47) | 120 (62) | 71 (57) | 114 (60) |
| Patient reported disease activity, median (IQR)ab | 20 (10–40) | 20 (10–41) | 25 (11–40) | 21 (10–40) | 15 (5–35) | 20 (10–30) | |
| BNT162b2 × 2 | 11 (8) | 780 (70) | 282 (70) | 135 (69) | 125 (64) | 94 (76) | 144 (75) |
| mRNA-1273 × 2 | 43 (32) | 285 (26) | 108 (26.8) | 52 (27) | 60 (31) | 25 (20) | 40 (21) |
| Mixedc | 80 (60) | 37 (3) | 12 (3) | 7 (3.5) | 10 (5) | 3 (2.4) | 5 (3) |
| COVID-19 infection and one vaccine dose | 0 | 6 (1) | 1 (0.2) | 1 (0.5) | 0 | 2 (1.6) | 2 (1) |
| Rituximab | 31 (3) | 31 (8) | |||||
| Tumor necrosis factor inhibitors | |||||||
| - Monotherapy | 464 (42) | 51 (12.5) | 60 (31) | 163 (83.5) | 67 (54) | 123 (64) | |
| - Combination therapyd | 261 (23.5) | 106 (26) | 64 (32) | 25 (13) | 24 (19) | 43 (23) | |
| Interleukin inhibitors | |||||||
| - Tocilizumab | 19 (2) | 17 (4) | 2 (1) | ||||
| - Other interleukin inhibitorse | 25 (2) | 6 (3) | 2 (1) | 3 (2) | 14 (7) | ||
| Janus kinase inhibitors | 22 (2) | 13 (3) | 2 (1) | 6 (5) | 1 (1) | ||
| Abatacept | 6 (0.5) | 6 (1.5) | |||||
| Vedolizumab | 32 (3) | 22 (18) | 10 (5) | ||||
| Metabolite inhibitors | |||||||
| - Methotrexate monotherapy | 218 (19.5) | 161 (40) | 53 (27) | 4 (2) | |||
| - Other metabolite inhibitorsf | 17 (1.5) | 11 (3) | 4 (2) | 2 (2) | |||
| Prednisolone monotherapy | 13 (1) | 7 (2) | 2 (3) | 1 (0.5) | |||
Patients using prednisolone in doses <10mg/day in combination with other medication groups are included in all groups
aPatient reported disease activity at baseline, indicated on a visual analog scale 0–100
bMissing information in 23 patients
cChAdOx1 + BNT162b2/mRNA-1273 or BNT162b2 + mRNA-1273
dIn combination with metabolite inhibitors or vedolizumab
eUstekinumab, risankizumab, secukinumab, iksekizumab
fAzathioprine, merkaptopurin, sulfasalazine, leflunomide in monotherapy or in combination with each other or in combination with methotrexate
Serological response at first and second assessment following two-dose vaccination in patients and controls
| Controls | Patients | |||
|---|---|---|---|---|
| First sera assessment | Second sera assessment | First sera assessment | Second sera assessment | |
| Median anti-RBD level (IQR) | 6187 (4105–7496) | 1520 (979–3766) | 2806 (1018–6068) | 608 (58–1053) |
| Median change in anti-RBD level (IQR)# | − 3332 (− 5096 to − 2206) | − 2039 (− 4304 to − 806) | ||
| Median percent change in anti-RBD level (IQR)* | − 66 (− 79 to − 49) | − 83 (− 94 to − 66) | ||
| Mean (SD) number of days between first and second assessment## | 75 (16) | 75 (17) | ||
| Anti-RBD <5, | 0 | 0 | 17 (1.5) | 56 (5) |
| Anti-RBD 5–19, | 0 | 0 | 13 (1) | 74 (6.5) |
| Anti-RBD 20–199, | 0 | 6 (5) | 62 (6) | 319 (29) |
| Anti-RBD 200–1999, | 10 (7.5) | 70 (52) | 366 (33) | 511 (46) |
| Anti-RBD 2000–8999, | 107 (80) | 58 (43) | 599 (54) | 145 (13) |
| Anti-RBD ≥ 9000, | 17 (12.5) | 0 | 51 (4.5) | 3 (0.5) |
First sera assessment 6–48 days after second vaccine dose. Second sera assessment 49–123 days after second vaccine dose. Serological response is anti-SARS-CoV-2 IgG antibodies to the receptor binding domain (RBD) measured as BAU/ml binding antibody units/ml, IQR inter quartile range
#Change in median anti-RBD level compared across groups by Mann-Whitney U test: p <0.001
*Percent change in anti-RBD level compared between groups by Mann-Whitney U test: p <0.001
##Mean number of days between first and second assessment compared between groups by Student’s t-test p=0.77
Fig. 1Levels of anti-RBD antibodies at the first and second assessment according to medication group. The orange bars show anti-RBD levels at the first assessment and the purple bars show anti-RBD at the second assessment, 6–48 and 49–123 days after the second vaccine dose, respectively. Bars indicate the lower and upper quartiles. Horizontal lines inside the bars indicate the median. Vertical lines through the bars show the minimum (Q1−1.5×IQR) and maximum value (Q3+1.5×IQR). Dots indicate outliers. A cut-off at 200 BAU/ml is indicated by a red line. MTX mono, methotrexate monotherapy; ILi, interleukin inhibitors including tocilizumab, ustekinumab, iksekizumab, risankizumab, secukinumab; VED, vedolizumab; JAKi, janus kinase inhibitor; TNFi mono, tumor necrosis factor inhibitor in monotherapy; TNFi comb, tumor necrosis factor inhibitor in combination with metabolite inhibitor(s) or vedolizumab; RTX, rituximab. All groups include patients using prednisolone in doses <10mg/day in combination with other medication
Fig. 2a Percentage change in anti-RBD levels between the first and second assessment, stratified by an interval of 30 days. b Percentage change in anti-RBD levels between first and second assessment according to medication group. a The bars show the percentage change in anti-RBD levels stratified by an interval of 30 days for controls (light gray bars) and patients (dark gray bars). b The bars show the percentage change in anti-RBD levels between the first and second assessment in controls (light gray bar) and in patients (dark gray bars) according to medication groups. Bars indicate the lower and upper quartiles. Horizontal lines inside the bars indicate the median. Vertical lines through the bars show the minimum (Q1−1.5×IQR) and maximum value (Q3+1.5×IQR). Dots indicate outliers. MTX mono, methotrexate monotherapy; ILi, Interleukin inhibitors including tocilizumab, ustekinumab, iksekizumab, risankizumab, secukinumab; VED, vedolizumab; JAKi, janus kinase inhibitor; TNFi mono, tumor necrosis factor inhibitor in monotherapy; TNFi comb, tumor necrosis factor inhibitor in combination with metabolite inhibitor(s) or vedolizumab; RTX, rituximab. All groups include patients using prednisolone in doses <10mg/day in combination with other medication
Fig. 3Percent distribution of anti-RBD levels at the first (a) and second (b) assessment in patients and healthy controls. a Percent distribution of anti-RBD levels at the first assessment 6–48 days after the second vaccine dose in controls and in patients according to medication groups. b Percent distribution of anti-RBD levels at the second assessment 49–123 days after the second vaccine dose in controls and in patients according to medication group. MTX mono, methotrexate monotherapy; ILi, interleukin inhibitors including tocilizumab, ustekinumab, iksekizumab, risankizumab, secukinumab; VED, vedolizumab; JAKi, janus kinase inhibitor; TNFi mono, tumor necrosis factor inhibitor in monotherapy; TNFi comb, tumor necrosis factor inhibitor in combination with metabolite inhibitor(s) or vedolizumab; RTX, rituximab. All groups include patients using prednisolone in doses <10mg/day in combination with other medication
Linear regression models of estimated 30 days percent reduction in anti-RBD level
| Model 1 | Model 2 | Model 3 | Model 4 | |
|---|---|---|---|---|
| Age in years | 0.0 (-0.0–0.1) | 0.1 (-0.0–0.1) | -0.0 (-0.1–0.0) | -0.0 (-0.1–0.0) |
| Female gender | 1.2 (-0.1–2.4) | 1.2 (-0.1–2.4) | 0.7 (-0.6–1.9) | 0.7 (-0.6–2.1) |
| Patients vs controls | -6.4 (-8.4–-4.3) ** | -4.9 (-7.4–-2.4)* | - | |
| BNT162b2 x 2 | - | |||
| COVID-19 infection and vaccine | 8.3 (-0.2–16.8) | |||
| Mixeda | 2.8 (0.2–5.4)* | |||
| mRNA-1273 x 2 | 4.4 (3.0–5.9) ** | |||
| Methotrexate monotherapy | -1.9 (-4.3– 0.5) | - | ||
| Interleukin inhibitors | -0.9 (-4.5–2.7) | 1.8 (-1.7–5.3) | ||
| Vedolizumab | 0.7 (-3.3–4.7) | 5.1 (0.7–9.5)* | ||
| TNF mono | -8.6 (-10.7–-6.5) ** | -6.2 (-8.4–-4.1)** | ||
| TNF comb | -8.1 (-10.4–-5.9)** | -6.0 (-8.0–-4.0)** | ||
| Rituximab | -0.3 (-4.8–4.2) | 1.0 (-3.3–5.3) | ||
| Rheumatoid arthritis | - | |||
| Psoriatic arthritis | 0.5 (-1.4–2.5) | |||
| Spondyloarthritis | 0.8 (-1.4–3.1) | |||
| Ulcerative colitis | -2.9 (-5.7–-0.2)* | |||
| Crohn’s disease | -2.3 (-4.7–0.1) | |||
| 0.21 | 0.23 | 0.26 | 0.26 | |
Linear regression models. Dependent variable of each model is estimated reduction in anti-RBD level in 30 days
All models are adjusted for anti-RBD levels at first assessment and time between first and second sera assessment. Please see Table S1 for details
Variables selected by forwards stepwise selection
Model 1 includes age, sex and patients vs. controls
Model 2 includes age, sex, patients vs. controls and type of vaccine
Model 3 includes age, sex, type immunosuppressive medication vs controls
Model 4 includes age, sex, type immunosuppressive medication and diagnosis. Controls were excluded from this model due to collinearity. (Methotrexate monotherapy and rheumatoid arthritis are comparators)
*p < 0.05, **p < 0.001
aChAdOx1 + BNT162b2/mRNA-1273 or BNT162b2 + mRNA-1273