| Literature DB >> 35527808 |
Laura Boekel1, Eileen W Stalman2, Luuk Wieske2,3, Femke Hooijberg1, Koos P J van Dam2, Yaëlle R Besten1, Laura Y L Kummer2,4, Maurice Steenhuis4, Zoé L E van Kempen5, Joep Killestein5, Adriaan G Volkers6, Sander W Tas7, Anneke J van der Kooi2, Joost Raaphorst2, Mark Löwenberg6, R Bart Takkenberg6, Geert R A M D'Haens6, Phyllis I Spuls8, Marcel W Bekkenk8, Annelie H Musters8, Nicoline F Post8, Angela L Bosma8, Marc L Hilhorst9, Yosta Vegting9, Frederike J Bemelman9, Alexandre E Voskuyl10, Bo Broens10, Agner Parra Sanchez7,10, Cécile A C M van Els11,12, Jelle de Wit11, Abraham Rutgers13, Karina de Leeuw13, Barbara Horváth14, Jan J G M Verschuuren15, Annabel M Ruiter15, Lotte van Ouwerkerk16, Diane van der Woude16, Cornelia F Allaart16, Y K Onno Teng17, Pieter van Paassen18, Matthias H Busch18, Papay B P Jallah18, Esther Brusse19, Pieter A van Doorn19, Adája E Baars19, Dirk Jan Hijnen20, Corine R G Schreurs20, W Ludo van der Pol21, H Stephan Goedee21, Erik H Vogelzang22, Maureen Leeuw1, Sadaf Atiqi1, Ronald van Vollenhoven7, Martijn Gerritsen1, Irene E van der Horst-Bruinsma23, Willem F Lems1,10, Mike T Nurmohamed1,7, Maarten Boers1,24, Sofie Keijzer4, Jim Keijser4, Carolien van de Sandt4, Arend Boogaard4, Olvi Cristianawati4, Anja Ten Brinke4, Niels J M Verstegen4, Koos A H Zwinderman25, S Marieke van Ham4,26, Theo Rispens4, Taco W Kuijpers27, Gertjan Wolbink1,4,7, Filip Eftimov2.
Abstract
Background: Concerns have been raised regarding the risks of SARS-CoV-2 breakthrough infections in vaccinated patients with immune-mediated inflammatory diseases treated with immunosuppressants, but clinical data on breakthrough infections are still scarce. The primary objective of this study was to compare the incidence and severity of SARS-CoV-2 breakthrough infections between patients with immune-mediated inflammatory diseases using immunosuppressants, and controls (patients with immune-mediated inflammatory diseases not taking immunosuppressants and healthy controls) who had received full COVID-19 vaccinations. The secondary objective was to explore determinants of breakthrough infections of the delta (B.1.617.2) variant of SARS-CoV-2, including humoral immune responses after vaccination.Entities:
Year: 2022 PMID: 35527808 PMCID: PMC9054068 DOI: 10.1016/S2665-9913(22)00102-3
Source DB: PubMed Journal: Lancet Rheumatol ISSN: 2665-9913
Figure 1Study profile
The number of participants included from the T2B! and ARC-COVID studies are reported separately in the appendix (p 17).
Baseline characteristics of all participants of both cohorts (T2B! and ARC-COVID) combined
| Cumulative incidence | 148 (5%) | 52 (5%) | 33 (4%) | |
| Incidence rate, events per 1000 person-months | 8·0 | 9·2 | 6·6 | |
| Time at risk, days | 172 (157–193) | 174 (154–195) | 182 (165–201) | |
| Age, years | 53 (14) | 54 (14) | 57 (13) | |
| Sex | ||||
| Female | 2042 (64%) | 598 (61%) | 549 (67%) | |
| Male | 1165 (36%) | 387 (39%) | 273 (33%) | |
| Comorbidities | ||||
| Cardiovascular disease | 347 (11%) | 110 (11%) | 60 (7%) | |
| Chronic pulmonary disease | 293 (9%) | 93 (9%) | 42 (5%) | |
| Diabetes | 161 (5%) | 49 (5%) | 25 (3%) | |
| Obesity | 518 (16%) | 155 (16%) | 85 (10%) | |
| SARS-CoV-2 infection before first vaccination | ||||
| Total confirmed COVID-19 diagnoses | 402 (13%) | 126 (13%) | 130 (16%) | |
| PCR-confirmed diagnosis | 79 (2%) | 48 (5%) | 4 (<1%) | |
| Serological confirmed diagnosis | 171 (5%) | 25 (3%) | 58 (7%) | |
| PCR and serological confirmed | 152 (5%) | 53 (5%) | 68 (8%) | |
| Immune-mediated inflammatory disease | ||||
| Rheumatic disease | 1989 (62%) | 542 (55%) | NA | |
| Neurological | 492 (15%) | 183 (19%) | NA | |
| Gastroenterological | 484 (15%) | 121 (12%) | NA | |
| Dermatological | 242 (8%) | 139 (14%) | NA | |
| Immunosuppressants | ||||
| Methotrexate | 992 (31%) | NA | NA | |
| Monotherapy | 442 (14%) | NA | NA | |
| TNF inhibitor | 929 (29%) | NA | NA | |
| Monotherapy | 523 (16%) | NA | NA | |
| Anti-CD20 | 266 (8%) | NA | NA | |
| Monotherapy | 170 (5%) | NA | NA | |
| Mycophenolate mofetil | 105 (3%) | NA | NA | |
| Monotherapy | 35 (1%) | NA | NA | |
| S1P receptor modulator | 66 (2%) | NA | NA | |
| Monotherapy | 66 (2%) | NA | NA | |
| Other immunosuppressants | 432 (13%) | NA | NA | |
| Monotherapy | 957 (30%) | NA | NA | |
| COVID-19 vaccine type | ||||
| ChAdOx1 nCoV-19 (Oxford–AstraZeneca) | 469 (15%) | 132 (13%) | 172 (21%) | |
| BNT162b2 (Pfizer–BioNTech) | 2019 (63%) | 598 (61%) | 446 (54%) | |
| CX-024414 (mRNA-1273; Moderna) | 563 (18%) | 203 (21%) | 147 (18%) | |
| Ad.26.COV2.S (Janssen) | 65 (2%) | 26 (3%) | 40 (5%) | |
| Combination of vaccines | 91 (3%) | 26 (3%) | 17 (2%) | |
| Additional vaccine dose during follow-up | 957 (30%) | 166 (17%) | 142 (17%) | |
| Additional vaccine dose received before breakthrough infection | 16 (<1%) | 2 (<1%) | 2 (<1%) | |
| Post-vaccination antibody response | ||||
| n | 1656 | 474 | 174 | |
| Seroconversion | 1427/1656 (86%) | 461/474 (97%) | 172/174 (99%) | |
| IgG titre, all groups | 85 (19–199) | 157 (65–278) | 227 (138–357) | |
| Poor responders | 3 (<1–25) | .. | .. | |
| Other immunosuppressants | 110 (47–223) | .. | .. | |
Data are mean (SD), median (IQR), or n (%) or n/N (%), unless otherwise stated. NA=not applicable. T2B!=Target to-B!
Includes rheumatoid arthritis, spondylarthritis, systemic lupus erythematosus, Sjögren's syndrome, vasculitis (small, medium, and large vessel vasculitis and other forms of vasculitis except giant cell arteritis), and other rheumatological disease (eg, giant-cell arteritis, polymyalgia rheumatica, and others).
Includes multiple sclerosis and neuromyelitis optica spectrum disorder, inflammatory neuropathies, myopathies (eg, chronic inflammatory demyelinating polyneuropathy, multifocal motor neuropathy, and inflammatory myositis), and myasthenia gravis.
Includes Crohn's disease, ulcerative colitis, autoimmune hepatitis, and other inflammatory bowel disorders (eg, autoimmune sclerosing cholangitis).
Includes atopic dermatitis, psoriasis, pemphigus, and others (eg, vitiligo, pemphigus, and others).
Patients could be treated with multiple immunosuppressants.
Other immunosuppressants include abatacept, belimumab, calcineurin inhibitors, cladribine, corticosteroids, dihydroorotate dehydrogenase (known as DHODH) inhibitors, dimethyl fumarate, dupilumab, eculizumab, glatiramer, hydroxychloroquine, IL-17A antagonists, IL-23 antagonists, immunoglobulin, interferon beta, JAK inhibitors, natalizumab, omalizumab, purine antagonists, tocilizumab, ustekinumab, vedolizumab, cyclophosphamide, anakinra, sarilumab, sulfasalazine, leflunomide, and azathioprine.
Anti-CD20 therapy, S1P receptor modulators, and mycophenolate mofetil.
Figure 2Incidence of SARS-CoV-2 breakthrough infections versus time since full vaccination and the occurrence of infection waves in the Netherlands, 2021
The dotted line shows total incidence of SARS-CoV-2 infections among the Dutch population, with the solid line showing the incidence of breakthrough infections among patients on immunosuppressants and combined controls. Publicly available epidemiological data from the National Institute for Public Health and the Environment (Rijksinstituut voor Volksgezondheid en Milieu [RIVM]) were used to study changes in the incidence of PCR-confirmed breakthrough infections in the Netherlands during follow-up. Incidence rates are displayed as cases per 10 000 population. Seroconversion was measured at 28 days after full vaccination in participants of the T2B! study only. Participants of the ARC-COVID study are all depicted with grey dots due to missing serology. Combined controls includes patients with immune-mediated inflammatory diseases not on immunosuppressants and healthy controls.
Univariable and multivariable analyses of potential determinants for SARS-CoV-2 breakthrough infections
| Univariable model (N=5014; 235 events) | |||||
| Combined controls | 1·00 (ref) | .. | |||
| Patients with immune-mediated inflammatory diseases on immunosuppressants | 0·98 (0·75–1·29) | 0·89 | |||
| Multivariable model (N=4906; 228 events) | |||||
| Combined controls | 1·00 (ref) | .. | |||
| Patients with immune-mediated inflammatory diseases on immunosuppressants | 0·88 (0·66–1·18) | 0·54 | |||
| Covariables | |||||
| Age | 0·98 (0·96–0·99) | <0·0001 | |||
| Sex | |||||
| Male | 1·00 (ref) | .. | |||
| Female | 0·94 (0·71–1·25) | 0·69 | |||
| Obesity | 1·02 (0·77–1·34) | 0·90 | |||
| Cardiovascular disease | 0·98 (0·60–1·53) | 0·93 | |||
| Pulmonary disease | 1·04 (0·63–1·64) | 0·87 | |||
| Diabetes | 2·06 (1·18–3·39) | 0·0071 | |||
| SARS-CoV-2 infection before first vaccination | |||||
| No previous infection | 1·00 (ref) | ||||
| Previous SARS-CoV-2 infection | 0·34 (0·18–0·56) | 0·0010 | |||
| Vaccine type | |||||
| ChAdOx1 nCoV-19 (Oxford–AstraZeneca) | 1·00 (ref) | .. | |||
| BNT162b2 (Pfizer–BioNTech) | 0·94 (0·64–1·41) | 0·74 | |||
| CX-024414 (mRNA-1273; Moderna) | 0·79 (0·49–1·30) | 0·38 | |||
| Ad.26.COV2.S (Janssen) | 0·40 (0·09–1·15) | 0·13 | |||
| Combination of vaccines | 0·28 (0·02–1·35) | 0·22 | |||
| Multivariable model (N=2225; 108 events) | |||||
| No seroconversion after full vaccination | 1·00 (ref) | .. | |||
| Seroconversion after full vaccination | 0·58 (0·34–0·98) | 0·044 | |||
| Multivariable model (N=1983; 90 events) | |||||
| Anti-RBD titre in AU/mL | |||||
| 4·000 to <53·025 | 0·97 (0·50–1·88) | 0·93 | |||
| 53·025 to <126·250 | 1·55 (0·88–2·73) | 0·13 | |||
| 126·250 to <249·750 | 1·00 (ref) | .. | |||
| ≥249·750 | 0·57 (0·28–1·16) | 0·12 | |||
Clinical determinants were studied in the combined cohort; humoral determinants were studied in the T2B! cohort only. The number of observations analysed in each model is shown (numbers varying due to selection for the model and/or missing data). AU=arbitrary units. RBD=receptor binding domain. T2B!=Target to-B!
Only the presented variables were included in the model.
Variables included were age, sex, obesity, cardiovascular disease, pulmonary disease, diabetes, SARS-CoV-2 infection before first vaccination, and vaccine type.
Variables included were age, sex, obesity, cardiovascular disease, pulmonary disease, diabetes, and vaccine type.
Third quartile was chosen as reference group on the basis of median antibody titres observed in controls with seroconversion (181 AU/mL [IQR 84–299]).
Figure 3Severity of breakthrough infection in patients with immune-mediated inflammatory diseases on immunosuppressants and combined controls, for both cohorts combined
Severity of SARS-CoV-2 breakthrough infections categorised using the WHO COVID-19 Clinical Progression Scale. Combined controls includes patients with immune-mediated inflammatory diseases not on immunosuppressants and healthy controls.
Characteristics of patients with immune-mediated inflammatory disorder on and not on immunosuppressants compared with controls who had a SARS-CoV-2 breakthrough infection, by severity of breakthrough infection
| Ambulatory care (n=140) | Hospitalised or deceased (n=8) | Ambulatory care (n=49) | Hospitalised or deceased (n=3) | Ambulatory care (n=31) | Hospitalised or deceased (n=2) | ||
|---|---|---|---|---|---|---|---|
| Age, years | 49 (13) | 60 (10) | 50 (15) | 57 (17) | 56 (12) | 62 (5) | |
| Sex | |||||||
| Female | 87 (62%) | 3 (38%) | 31 (63%) | 1 (33%) | 24 (77%) | 0 | |
| Male | 53 (38%) | 5 (63%) | 18 (37%) | 2 (67%) | 7 (23%) | 2 (100%) | |
| Comorbidities | |||||||
| Cardiovascular disease | 12 (9%) | 2 (25%) | 3 (6%) | 2 (67%) | 2 (6%) | 1 (50%) | |
| Chronic pulmonary disease | 10 (7%) | 2 (25%) | 4 (8%) | 1 (33%) | 3 (10%) | 1 (50%) | |
| Diabetes | 9 (6%) | 1 (13%) | 5 (10%) | 1 (33%) | 1 (3%) | 1 (50%) | |
| Obesity | 25 (18%) | 2 (25%) | 5 (10%) | 2 (67%) | 3 (10%) | 1 (50%) | |
| SARS-CoV-2 infection before first vaccination | |||||||
| Total confirmed COVID-19 diagnoses | 10 (7%) | 0 | 3 (6%) | 0 | 2 (6%) | 0 | |
| PCR confirmed | 4 (3%) | 0 | 0 | 0 | 0 | 0 | |
| Serologically confirmed | 6 (4%) | 0 | 3 (6%) | 0 | 2 (6%) | 0 | |
| PCR and serologically confirmed | 0 | 0 | 0 | 0 | 0 | 0 | |
| Immunosuppressants | |||||||
| Methotrexate | 35 (25%) | 2 (25%) | NA | NA | NA | NA | |
| Monotherapy | 15 (11%) | 1 (13%) | NA | NA | NA | NA | |
| TNF inhibitor | 48 (34%) | 1 (13%) | NA | NA | NA | NA | |
| Monotherapy | 29 (21%) | 1 (13%) | NA | NA | NA | NA | |
| Anti-CD20 | 13 (9%) | 3 (38%) | NA | NA | NA | NA | |
| Monotherapy | 9 (6%) | 3 (38%) | NA | NA | NA | NA | |
| Mycophenolate mofetil | 3 (2%) | 0 | NA | NA | NA | NA | |
| Monotherapy | 0 | 0 | NA | NA | NA | NA | |
| S1P receptor modulator | 5 (4%) | 0 | NA | NA | NA | NA | |
| Monotherapy | 5 (4%) | 0 | NA | NA | NA | NA | |
| Other immunosuppressants | 70 (50%) | 3 (38%) | NA | NA | NA | NA | |
| Monotherapy | 40 (29%) | 2 (25%) | NA | NA | NA | NA | |
| COVID-19 vaccine types | |||||||
| ChAdOx1 nCoV-19 (Oxford–AstraZeneca) | 18 (13%) | 1 (13%) | 5 (10%) | 1 (33%) | 10 (32%) | 1 (50%) | |
| BNT162b2 (Pfizer–BioNTech) | 94 (67%) | 5 (63%) | 32 (65%) | 2 (67%) | 18 (58%) | 1 (50%) | |
| CX-024414 (mRNA-1273; Moderna) | 25 (18%) | 2 (25%) | 10 (20%) | 0 | 3 (10%) | 0 | |
| Ad.26.COV2.S (Janssen) | 1 (1%) | 0 | 2 (4%) | 0 | 0 | 0 | |
| Combination of vaccines | 3 (2%) | 0 | 0 | 0 | 0 | 0 | |
| Time since full vaccination, days | 137 (115–162) | 124 (110–172) | 137 (89–166) | 139 (NA) | 155 (119–173) | 64 (NA) | |
| Additional vaccine dose during follow-up | 21 (15%) | 2 (25%) | 2 (4%) | 0 | 2 (6%) | 1 (50%) | |
| Additional vaccine received prior to breakthrough | 15 (11%) | 1 (13%) | 1 (2%) | 0 | 1 (3%) | 0 | |
Data are n (%), mean (SD), or median (IQR). Patients were defined as being ambulatory if they had a WHO COVID-19 Clinical Progression Scale score of 1–3, and being hospitalised or having died if they had a WHO score of 4–10. NA=not applicable.
Patients could be treated with multiple immunosuppressants.
Other immunosuppressants include abatacept, belimumab, calcineurin inhibitors, cladribine, corticosteroids, dihydroorotate dehydrogenase (known as DHODH) inhibitors, dimethyl fumarate, dupilumab, eculizumab, glatiramer, hydroxychloroquine, IL-17A antagonists, IL-23 antagonists, immunoglobulin, interferon beta, JAK inhibitors, natalizumab, omalizumab, purine antagonists, tocilizumab, ustekinumab, vedolizumab, cyclophosphamide, anakinra, sarilumab, sulfasalazine, leflunomide, and azathioprine.