| Literature DB >> 35772416 |
Abhishek Abhishek1, Rosemary J Boyton2, Nicholas Peckham3, Áine McKnight4, Laura C Coates5, James Bluett6, Vicki Barber3, Lucy Cureton3, Anne Francis3, Duncan Appelbe3, Lucy Eldridge3, Patrick Julier3, Ana M Valdes7, Tim Brooks8, Ines Rombach3, Daniel M Altmann9, Jonathan S Nguyen-Van-Tam10, Hywel C Williams10, Jonathan A Cook3.
Abstract
BACKGROUND: Immunosuppressive treatments inhibit vaccine-induced immunity against SARS-CoV-2. We evaluated whether a 2-week interruption of methotrexate treatment immediately after the COVID-19 vaccine booster improved antibody responses against the S1 receptor-binding domain (S1-RBD) of the SARS-CoV-2 spike protein compared with uninterrupted treatment in patients with immune-mediated inflammatory diseases.Entities:
Mesh:
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Year: 2022 PMID: 35772416 PMCID: PMC9236568 DOI: 10.1016/S2213-2600(22)00186-2
Source DB: PubMed Journal: Lancet Respir Med ISSN: 2213-2600 Impact factor: 102.642
Figure 1Trial profile
Anti-S1-RBD=antibody for S1 subunit of SARS-CoV-2 spike protein receptor-binding domain. *Some patients had more than one stated reason for ineligibility.
Baseline characteristics
| Age, years | 59·2 (11·0) | 59·0 (11·9) | |
| <40 years | 8 (6%) | 8 (6%) | |
| 40–64 years | 73 (57%) | 73 (57%) | |
| ≥65 years | 46 (36%) | 46 (36%) | |
| Sex | |||
| Male | 47 (37%) | 52 (41%) | |
| Female | 80 (63%) | 75 (59%) | |
| BMI, kg/m2 | 29·0 (6·5) | 30·3 (5·6) | |
| Ethnicity | |||
| White | 120 (94%) | 118 (93%) | |
| Other | 7 (6%) | 8 (6%) | |
| Missing data | 0 | 1 (1%) | |
| Smoking status | |||
| Never smoked | 67 (53%) | 68 (54%) | |
| Ex-smoker | 46 (36%) | 49 (39%) | |
| Current smoker | 14 (11%) | 10 (8%) | |
| Serum creatinine concentration, μmol/L | 71·7 (14·8) | 75·8 (13·2) | |
| Type of immune-mediated inflammatory disease | |||
| Rheumatic disease (with or without skin disease) | 101 (80%) | 102 (80%) | |
| Skin disease alone | 26 (20%) | 25 (20%) | |
| Immune-mediated inflammatory disease | |||
| Rheumatoid arthritis | 68 (54%) | 62 (49%) | |
| Psoriasis with arthritis | 24 (19%) | 28 (22%) | |
| Psoriasis without arthritis | 15 (12%) | 19 (15%) | |
| Seronegative (axial) spondyloarthritis | 3 (2%) | 1 (1%) | |
| Reactive arthritis | 0 | 0 | |
| Atopic eczema | 6 (5%) | 6 (5%) | |
| Polymyalgia rheumatica | 2 (2%) | 3 (2%) | |
| Systemic lupus erythematosus | 2 (2%) | 0 | |
| Other rheumatic disease | 6 (5%) | 9 (7%) | |
| Other skin disease | 6 (5%) | 3 (2%) | |
| Methotrexate use | |||
| Weekly dose ≤5 mg | 55 (43%) | 51 (40%) | |
| Weekly dose >15 mg | 72 (57%) | 76 (60%) | |
| Median dose | 20 (15–20) | 20 (15–20) | |
| Oral administration | 79 (62%) | 75 (59%) | |
| Subcutaneous administration | 48 (38%) | 52 (41%) | |
| Folic acid supplementation | |||
| Yes | 124 (98%) | 125 (98%) | |
| No | 2 (2%) | 2 (2%) | |
| Missing data | 1 (1%) | 0 | |
| Hydroxychloroquine | |||
| Yes | 21 (17%) | 26 (20%) | |
| No | 106 (83%) | 101 (80%) | |
| Median dose | 200 (200–200) | 200 (200–400) | |
| Concomitant systemic medications | |||
| Non-steroidal anti-inflammatory drugs | 22 (17%) | 23 (18%) | |
| Oral glucocorticoid | 3 (2%) | 2 (2%) | |
| Insulin | 3 (2%) | 1 (1%) | |
| Missing data | 1 (1%) | 0 | |
| Parenteral glucocorticoid in past 3 months | |||
| Intra-articular glucocorticoid | 0 | 2 (2%) | |
| Intramuscular glucocorticoid | 1 (1%) | 3 (2%) | |
| None | 125 (98%) | 122 (96%) | |
| Missing data | 1 (1%) | 0 | |
| Current use of topical glucocorticoid | |||
| Yes | 17 (13%) | 20 (16%) | |
| No | 110 (87%) | 107 (84%) | |
| Comorbidities | |||
| Diabetes | 16 (13%) | 10 (8%) | |
| Hypertension | 30 (24%) | 28 (22%) | |
| Ischaemic heart disease | 1 (1%) | 3 (2%) | |
| Congestive cardiac failure | 0 | 0 | |
| Asthma | 18 (14%) | 16 (13%) | |
| Chronic obstructive pulmonary disease | 3 (2%) | 5 (4%) | |
| High cholesterol | 12 (9%) | 16 (13%) | |
| Stroke (including transient ischaemic attack) | 2 (2%) | 3 (2%) | |
| None of the above | 71 (56%) | 77 (61%) | |
| Primary COVID-19 vaccination type | |||
| mRNA (BNT162b2 or mRNA-1273) | 42 (33%) | 43 (34%) | |
| Viral vector (AZD1222) | 85 (67%) | 82 (65%) | |
| Combination | 0 | 2 (2%) | |
| Days between two doses | 76 (11·0) | 76 (12·0) | |
| COVID-19 disease history | |||
| COVID-19 disease leading to hospitalisation | 1 (1%) | 3 (2%) | |
| COVID-19 disease without hospitalisation | 16 (13%) | 21 (17%) | |
| No COVID-19 disease | 110 (87%) | 103 (81%) | |
| COVID-19 booster vaccine | |||
| BNT162b2 | 106 (83%) | 102 (80%) | |
| AZD1222 | 6 (5%) | 4 (3%) | |
| mRNA-1273 | 13 (10%) | 18 (14%) | |
| None | 2 (2%) | 3 (2%) | |
| Booster as 3rd dose | 124 (99%) | 124 (100%) | |
| Booster as 4th dose | 1 (1%) | 0 | |
| Days between previous vaccination and booster | 189·9 (31·0) | 195·4 (22·1) | |
Data are n (%), mean (SD), or median (IQR).
Participants can have more than one category.
Percentages are of those who received a booster vaccine.
Key primary and secondary outcomes at week 4 and 12
| Absolute titres (mean [SD]) | ||||
| Baseline | 3448 (11649; n=125) | 4011 (18 325; n=124) | .. | |
| 4 weeks | 17 682 (20 872; n=126) | 34 556 (38 323; n=124) | .. | |
| 12 weeks | 14 060 (14 698; n=124) | 27 407 (35 665; n=117) | .. | |
| Log10 values, U/mL (geometric mean titre [95% CI]) | ||||
| Baseline | 546 (394 to 757; n=125) | 530 (385 to 729; n=124) | .. | |
| 4 weeks | 10 798 (8970 to 12 997; n=126) | 22 750 (19 314 to 26 796; n=124) | GMR 2·19 (95% CI 1·57 to 3·04; p<0·0001) | |
| 12 weeks | 8094 (6587 to 9946; n=124) | 16 520 (13 787 to 19 794; n=117) | GMR 2·11 (95% CI 1·51 to 2·94; p<0·0001) | |
| Baseline | 0·81 (0·17; n=127) | 0·77 (0·20; n=126) | .. | |
| 4 weeks | 0·79 (0·17; n=124) | 0·75 (0·20; n=122) | Mean difference −0·006 (95% CI −0·039 to 028) | |
| 12 weeks | 0·78 (0·19; n=125) | 0·75 (0·21; n=120) | Mean difference −0·005 (95% CI −0·038 to 0·029) | |
| Baseline | 79·3 (16·5; n=127) | 77·4 (16·1; n=127) | .. | |
| 4 weeks | 79·0 (14·1; n=124) | 73·8 (19·3; n=122) | Mean difference −4·26 (95% CI −8·10 to −0·42) | |
| 12 weeks | 75·6 (18·5; n=125) | 71·2 (20·5; n=119) | Mean difference −4·08 (95% CI −7·93 to −0·24) | |
| Baseline | 8·00 (1·91; n=127) | 7·38 (2·01; n=127) | .. | |
| 2 weeks | 7·37 (1·78; n=123) | 6·97 (2·00; n=124) | Mean difference 0·06 (95% CI −0·40 to 0·52) | |
| 4 weeks | 7·61 (1·90; n=120) | 6·97 (2·11; n=118) | Mean difference −0·17 (95% CI −0·63 to 0·29) | |
| 12 weeks | 7·33 (2·02; n=124) | 6·93 (2·10; n=120) | Mean difference 0·09 (95% CI −0·36 to 0·55) | |
| 0–4 weeks | 38/124 (31%) | 69/123 (56%) | OR 3·10 (95% CI 1·78 to 5·40) | |
| 0–12 weeks | 56/125 (45%) | 85/120 (71%) | OR 2·83 (95% CI 1·64 to 4·88) | |
Logistic regression models at 4 and 12 weeks were adjusted by baseline value, randomisation factors (ie, age, inflammatory condition, vaccine platform), previous infection, and booster platform. Mixed-effects model were adjusted by baseline value, randomisation factors (ie, age, inflammatory condition, vaccine platform), previous infection, and booster platform (main analysis), and include a treatment-by-time interaction. Missing information on booster vaccine received by three participants means total numbers in the model are lower at 4 weeks. GMR=geometric mean ratio. OR=odds ratio. S1-RBD=S1 subunit of spike protein in receptor-binding domain.
Main analysis.
Calculated using a logistic regression model; a flare-up was counted if it was reported at either 4 or 12 weeks for the 0–12 weeks outcome.
Figure 2Treatment effects (geometric mean ratio) for different subgroups at 4 weeks
Vertical black line indicates no effect. Dotted grey line indicates the overall effect.
Figure 3Treatment effects (geometric mean ratio) for different subgroups at 12 weeks
Vertical black line indicates no effect. Dotted grey line indicates the overall effect.