| Literature DB >> 33640999 |
Juan Li1,2, Hong-Hui Liu1,2, Xiao-Dong Yin1,2, Cheng-Cheng Li1,2, Jing Wang3,4.
Abstract
BACKGROUND: The aim of this review is to explore whether patients with autoimmune diseases (AIDs) were at high risk of infection during the COVID-19 epidemic and how severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic affected immune system.Entities:
Keywords: AIDs; Autoimmune diseases; COVID-19; SARS-CoV-2
Mesh:
Substances:
Year: 2021 PMID: 33640999 PMCID: PMC7914392 DOI: 10.1007/s00011-021-01446-1
Source DB: PubMed Journal: Inflamm Res ISSN: 1023-3830 Impact factor: 4.575
Fig. 1Overview of COVID-19
Fig. 2Body reaction and immune responses during SARS-COV-2 infection
AIDs and COVID-19 prevalence or risk
| AIDs | Study [ref] | Country | Date (Mo.day) | Patients | Age(year) | COVID-19 (N) | Symptoms | Treatment (baseline) | Outcomes |
|---|---|---|---|---|---|---|---|---|---|
AIDs (e.g.RA, SLE, SSc) | D'Silva 2020 [ | USA | Jan 20–Aug 15 | 2379 (79%) | 57 ± 16 | AIDs 2379 (Positive) VS without AIDs 2379 (Positive) | – | B-cell activating factor inhibitor, CTLA-4 immunoglobulin, IL-1/IL-6 receptor/IL-17/IL-23/JAK/TNF/CD20 inhibitor | SARD patients VS non-SARD comparators: hospitalization (RR 1.14, 95% CI: 1.03–1.26), ICU admission (RR 1.32, 95% CI 1.03–1.68), ARF (RR 1.81, 95% CI 1.07–3.07) |
AIDs (e.g. SLE, SSc, RA) | Emmi 2020 [ | Italy | April 1–14 | 458 (74%) | 56(43–68) | 1 (Positive) | Fever, fatigue, cough, dyspnea | Corticosteroids, colchicine, mycophenolate, HCQ, biologic DMARDs, TNF-α inhibitors, tocilizumab | AIDs 0.22% (95%CI 0.01–1.21%) VS general population 0.20% (95% CI 0.20–0.21%) |
AIDs (SLE, AAV, SSc, RA, IIM) | Zen [ 2020 | Italy | April 9–25 | 916 (78.6%) | 53.6 ± 14.3 | 2 (Positive) | Fever, cough, sore throat, arthromyalgias, diarrhea, ageusia/hyposmia, conjunctivitis | Prednisone, anti-BLYSS Ethotrexate, anti-CD20, cyclosporin, CTLA4-Ig, mycophenolate, JAK-i, tacrolimus, azathioprine, cyclophosphamide, anti-IL6R, antimalarial, leflunomide, anti-TNF, salazopyrin, | The incidence of SARS-CoV-2 infection was low and seems to be comparable to that of the general population |
| SLE | Pablos 2020 [ | Spain | – | 2253 (77%) | 51 (42–66) | 1397 (Positive) | – | – | COVID-19 prevalence % (CI) in SLE patients is 0.62 (0.34–1.04); The prevalence of COVID-19 in SLE patients is similar to the reference population [1.07 (0.63- 1.80)] |
| SLE | Fernandez-Ruiz 2020 [ | USA | April 13–June 1 | 226 (92.9%) | – | 41 (Positive) 42 (suspected) | fever, cough, sore throat, diarrhea, loss of taste/smell, shortness of breath | HCQ, systemic steroids, NSAIDs, Mycophenolate Mofetil, Methotrexate, Azathioprine, Belimumab, Cyclophosphamide, Rituximab, Abatacept, Tacrolimus, Tocilizumab | SLE patients with confirmed COVID-19 have a high rate of hospitalization but a similar mortality rate to the general population; Non-white race, BMI, and the presence of one or more comorbidities were identified as independent predictors of hospitalization in SLE patients who develop COVID -19, similar to the general population |
| RA | Ji 2020 [ | Korea | Until May 15 | 219,961 (47.4%) | – | 7341 (Positive) | – | – | RA was associated with an increased risk of severe COVID-19(ORR,1.207–1.244) |
| MS | Castillo 2020 [ | Spain | – | 300(75%) | 47.91 (22–74) | 9(Positive) | Fever, cough, sore throat, arthromyalgias, loss of smell, shortness of breath | – | COVID-19 is twice as common in people with MS as in the general population (OR 2,67; IC 95 % 0,37–19,07), but there was not statistically significant |
| MS | Louapre 2020 [ | French | March 1–May 21 | 348(71.8%) | 44.6 ± 12.8 | 146 (Positive) | Fever, digestive disorders, asthenia/ageusia, headache, cough, asthenia, dyspnea, dizziness, dyspnea | IFNβ, Glatiramer, teriflunomide, dimethylfumarate, natalizumab, fingolimod, ocrelizumab, rituximab, cladribine, alemtuzumab | EDSS ≥ 6 (OR 6.3, 95% CI 2.8- 14.4) was independent risk factors for a COVID-19 severity score of 3 or more (indicating hospitalization or higher severity) |
| IBD | Aziz 2020 [ | USA | until May 13 | 9177(99.2%) | – | 32 (Positive) | – | Steroids, biologics, aminosalicylates, immunomodulators | 32 were reported to have confirmed COVID-19 (0.3%, 95% CI, 0.1%-0.5%) |
| IBD | Axelrad 2020 [ | USA | March 3–May 10 | 83 (47%) | 35 (27–45) | 45 (Positive) 38 (suspected) | Fever, cough, pharyngitis, rhinorrhea, ageusia, diarrhea, anosmia, shortness of breath | Azathioprine/Mercaptopurine, Anti-TNF, Methotrexate, Prednisone, Oral budesonide, Vedolizumab, Ustekinumab, Tofacitinib, 5-ASA, | In IBD patients, severe outcomes of COVID-19 were rare and comparable to similarly aged individuals in the general population and generally limited to older men with comorbidities and/or patients with active CD |
| IBD | Singh 2020 [ | USA | Jan 20–May 26 | 196,403 | – | IBD: 232 (Positive) VS non-IBD: 19,776 (Positive) | Fever, dyspnea, cough, sore throat, nausea/vomiting, malaise/fatigue, diarrhea, abdominal pain, hypoxemia | Biologics and/or immunomodulators, aminosalicylate, corticosteroids | The risk of severe COVID-19 was similar (RR 0.93, 95% CI 0.68–1.27), |
| IBD | Gubatan 2020 [ | USA | March 04––April 14 | 168(52.4%) | 47.7 ± 16.3 | 5 (Positive) | Fever, dyspnea, cough, sore throat, fatigue, body pain, pneumonia,diarrhea,abdominal pain, nausea /vomiting, nasal congestion, | ACE Inhibitor,ARB,PPI, H2 blocker,Methotrexate,6MP/Azathioprine,5-ASA,Anti-TNF agent, Vedolizumab,steroids, NSAIDs Ustekinumab, Antiplatelets, Anticoagulant | The prevalence of COVID-19 was 3.0%; IBD patients with COVID-19 were older, more obese, more likely to have hypertension and DM; Age > 66 years was independently associated with increased risk (OR 21.30, |
| T1D | Vangoitsenhoven 2020 [ | Belgium | Feb 1–April 30 | 2,336(48.5%) | – | 4 (Positive) 1 (suspected) | Extreme, cough, fatigue, diabetic ketoacidosis | – | People with T1D did not have an increased risk of worse COVID-19 outcomes (hospitalization for COVID -19 or mortality); T1D patients who were hospitalized for COVID-19 were older than those who were not hospitalized, but no significantly in terms of glucose control, comorbidity profile |
IMID immune-mediated inflammatory disease, DMARDs disease-modifying anti-rheumatic drugs, ACE angiotensin-converting–enzyme, ARB angiotensin II–receptor blocker, IL Interleukin, SLE systemic lupus erythematosus, AAV ANCA-associated vasculitis, SSc systemic sclerosis, RA rheumatoid arthritis, IIM idiopathic inflammatory myopathy, EDSS expanded disability severity scale score, CIconfidence interval, DM diabetes mellitus, CD Crohn's disease, SARDs systemic autoimmune rheumatic diseases, ARF acute renal failure, ICU intensive care unit Age year (SD) or median (IQR)