| Literature DB >> 34335579 |
Mengyuan Zhang1, Xiaoyin Bai2, Wei Cao3, Junyi Ji4, Luo Wang5, Yang Yang6, Hong Yang2.
Abstract
Patients with inflammatory bowel disease, psoriasis or other rheumatic diseases treated with corticosteroids, immunomodulators and biologics might face additional risk during COVID-19 epidemic due to their immunocompromised status. However, there was still no unanimous opinion on the use of these therapy during COVID-19 epidemic. Current studies suggested that systemic corticosteroids might increase the risk of hospitalization, as well as risks of ventilation, ICU, and death among patients with immune-mediated inflammatory diseases. Anti-TNF agent was associated with lower rate of hospitalization, as well as lower risks of ventilation, ICU, and death. No significant changes in rates of hospitalization, ventilation, ICU and mortality were observed in patients treated with immunomodulators or biologics apart from anti-TNF agents. The underlying mechanism of these results might be related to pathway of antiviral immune response and cytokine storm induced by SARS-COV-2 infection. Decision on the use of corticosteroids, immunomodulators and biologics should be made after weighing the benefits and potential risks based on individual patients.Entities:
Keywords: 2019-nCoV; COVID-19; SARS-CoV-2; autoimmune; biologics; corticosteroids; immunomodulators
Year: 2021 PMID: 34335579 PMCID: PMC8317986 DOI: 10.3389/fimmu.2021.677957
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Baseline characteristics of cohort studies included.
| First Author | Publication Date | Country | Sample size | Disease Type | Intervention | Antibiotic | Outcomes | Factors for Multivariate Analysis |
|---|---|---|---|---|---|---|---|---|
| Mariangela Allocca ( | 2020 Oct | Italy | 41 | 29%UC, 22%CD, 20%PS, 10%PsA, 12%RA, 2%AS, 2%SSc, 2%SLE,1%others | 7CS, 10IM, 28BIO | NA | hospitalizaiton, oxygen need, death, | age, gender, medication, comorbidities, rheumatic disease diagnosis |
| Milena Gianfrancesco ( | 2020 May | Multi-national | 600 | 38%RA, 14%SLE, 12%PsA, 8%AS, 7%vasculitis, 5%SS, 3%SSc, 10%others | 32CS | NA | hospitalizaiton, death, | age, gender, rheumatic disease diagnosis, comorbidities, medication |
| Anja Strangfeld ( | 2021 Jan | Multi-national | 3279 | 36.7%RA, 12.5%AS, 12.6%PsA, 10.6%SLE, 7.7%vasculitis, 19.9%others | 1056CS, 1267DMARD, 296IM, 1310BIO | NA | death | age, gender, rheumatic disease diagnosis, comorbidities, medication |
| FAIR/SFR/SNFMI/SOFREMIP/CRI/IMIDIATE consortium and contributors ( | 2021 Apr | France | 694 | 30.7%RA, 23.8%AS, 10.1%PsA, 9.3%vasculitis,6.6%SLE, 3.6%SSc, 2.5%SS, 13.5%others | 215CS, 328IM,354BIO | NA | moderate:hospitalization, severe:ICU or death | age, gender, diagnosis, medications, comorbidities |
| Jesse Veenstra ( | 2020 Dec | USA | 77 | 33.8%RA/AS, 13.6%PS/PsA, 17.8%IBD, 15.5%SLE/DM/PM/MCTD/ILD/Scl | 12CS, 41IM, 30BIO | NA | hospitalization,ventilator | NA |
| Rebecca Haberman ( | 2020 Apr | USA | 86 | 16%PS, 24%PsA, 23%RA, 20%UC, 23%CD, 10%AS | 62BIO,17MTX, 8CS | NA | hospitalizaiton, oxygen need, ICU, death, | age,sex,comorbidities,BMI,medication |
| Mariangela Allocca ( | 2020 Nov | Multi-national | 97 | 44%UC,55%CD, 1% IBD-U | 8CS,24IM,51BIO, | NA | hospitalization, ICU, death | age, gender, comorbidities, diagnosis, medication |
| Claudia Diniz Lopes Marques ( | 2021 Jan | Brasil | 334 | 32.9%SLE, 28.4%RA, 13.5%AS, 6.9%SSc, 6.9%PsA, 3.3%vasculitis, 8.3%others | 234CS, 154IM,116BIO | NA | hospitalization, ICU, ventilation, death | age, diagnosis, medication, comorbidities |
UC, ulcerative colitis; CD, Crohn’s disease; IBD-U, inflammatory bowel disease-unclassified; PS, psoriasis; PsA psoriatic arthritis; RA, rheumatoid arthritis; AS, ankylosing spondylitis; SLE, Systemic lupus erythematosus; SS, Sjogren’s syndrome; SSc, systemic sclerosis; DM, dermatomyositis; PM, polymyositis; MCTD, mixed connective tissue disease; ILD, interstitial lung disease; CS, corticosteroids; IM, immunocmodulators; BIO, biologics; DMARD, disease-modifying antirheumatic drug; MTX, methotrexate.
Figure 1The association of corticosteroids and clinical outcomes of COVID-19 among patients with immune-mediated inflammatory disease (IMID).
Figure 2The association of biologics and hospitalization rate among IBD patients with COVID-19 according to data from SECURE-IBD (27). [The group ‘anti-TNF agent monotherapy’ was compared to the group receiving anti-TNF agent combined with 6MP/AZA/MTX. The other groups (‘Anti-TNF agents’, ‘IL-12/23 inhibitors’, ‘Anti-integrin agents’ and ‘JAK inhibitor’) were compared to those did not receive the corresponding biologics].
Figure 5The association of biologics and mortality rate among IBD patients with COVID-19 according to data from SECURE-IBD (27). [The group ‘anti-TNF agent monotherapy’ was compared to the group receiving anti-TNF agent combined with 6MP/AZA/MTX. The other groups (‘Anti-TNF agents’, ‘IL-12/23 inhibitors’, ‘Anti-integrin agents’ and ‘JAK inhibitor’) were compared to those did not receive the corresponding biologics].
Figure 6The association of anti-TNF agents and hospitalization of COVID-19 among patients with immune-mediated inflammatory diseases (IMID)
Figure 3The association of biologics and ICU admission rate among IBD patients with COVID-19 according to data from SECURE-IBD (27). [The group ‘anti-TNF agent monotherapy’ was compared to the group receiving anti-TNF agent combined with 6MP/AZA/MTX. The other groups (‘Anti-TNF agents’, ‘IL-12/23 inhibitors’, ‘Anti-integrin agents’ and ‘JAK inhibitor’) were compared to those did not receive the corresponding biologics].
The association between use of corticosteroids and 28-day all-cause mortality among patients with COVID-19, according to meta-analysis by REACT working group.
| Treatment (control: usual care or placebo) | Trials included | Patientsenrolled | Number of deaths | Fixed-effect Odds Ratio (95%CI, p-value) | Random-effects Odds Ratio (95%CI, p-value) |
|---|---|---|---|---|---|
|
| 7 | 1703 | 647 | 0.66 (95%CI 0.53-0.82; P < 0.01) | 0.70 (95% CI 0.48-1.01; P = 0.05) |
|
| 3 | 1282 | 527 | 0.64 (95%CI 0.50-0.82; | 0.65 (95% CI, 0.36-1.17) |
|
| 3 | 374 | 94 | 0.69 (95% CI 0.43-1.12; | 0.87 (95%CI, 0.072-10.5) |
|
| 1 | 47 | 26 | 0.91 (95% CI 0.29-2.87; | 0.91 (95%CI, 0.29, 2.87; P = 0.87) |
|
| 4 | 1381 | 472 | 0.61 (95%CI 0.48-0.78; P <0 .01) | 0.80 (95%CI, 0.063-10.32; P = 0.75) |
|
| 3 | 322 | 175 | 0.83 (95%CI 0.53-1.29; P = 0.46) | 0.83 (95%CI, 0.53-1.29; P = 0.46) |