No significant differences were reported for the frequency of DR3-DQ2 and DR4-DQ8 haplotypes in a recent study of one of the largest cohorts worldwide of patients with isolated Addison's disease compared to patients with APS II. However, previous studies had suggested that the HLA-DQ genes, especially DQA1*0102, may be a genetic marker for resistance to autoimmune thyroid disease, which is the most frequent disease in APS II or III. Until now, HLA-DQA1 alleles have not been systematically investigated in APS. We determined the HLA-DR and HLA-DQA1 association in 112 unrelated patients with APS II (n = 29), APS III (n = 83) and 184 unrelated patients with single-component diseases without further manifestations of APS: Graves' disease (n = 70), Hashimoto's thyroiditis (n = 53), autoimmune Addison's disease (n = 15), vitiligo (n = 16) and alopecia (n = 30), and 72 healthy controls - German Caucasians - to identify possible predisposing and protective HLA class II alleles in APS. In agreement with previous studies, we detected a significantly higher frequency of DR 3 and/or DR 4 in patients with APS II and III compared to controls. In patients with APS II, we detected a significantly higher frequency of DQA1*0301 and *0501 compared to controls confirming the increased frequency of an extended HLA DRB1-*04-DQA1-*03-DQB-*03 haplotype as previously described. In contrast, only DQA1*0301 was increased in our patients with APS III compared to controls. Moreover, we detected an increased frequency of DQA1*0301 in patients with APS, whereas DQA1*0301 was only significantly elevated in alopecia in patients with single-component diseases without APS. Therefore, our results indicate an association between DQA1*0301 and APS II or III since this allele was otherwise not significantly associated with any of its component diseases except alopecia. Moreover, our data imply that the allele DQA1*0301 is a marker of increased risk for further APS manifestations in patients who suffer from an organ-specific autoimmune disease.
Background The risk of severe COVID-19 and its determinants remain largely unknown in patients with autoimmune and inflammatory rheumatic diseases. The objective of this study was to assess the prevalence of COVID-19 infection in patients followed for rare autoimmune diseases as well as the predictors of COVID-19 and disease flare-ups. Methods Cross-sectional phone survey from April 9, 2020, to July 2, 2020, during which patients with autoimmune diseases followed at the National Reference Center for Rare Autoimmune diseases of Strasbourg were systematically contacted by phone and sent a prescription for a SARS-CoV-2 serology. Results One thousand two hundred thirty-two patients were contacted. One thousand fifty-five patients with a confirmed diagnosis of systemic autoimmune disease were included (4 unreachable, 4 moves abroad, 5 deaths before pandemic, 50 without consent, and 114 without autoimmune disease). Among them, 469 (44.5%) patients were tested for SARS-CoV-2 serology. Thirty-nine patients (7.9%) had SARS-CoV-2 infection (either through chest CT-scan [n = 5], RT-PCR on nasopharyngeal swab [n = 14], or serology [n = 31]) among the 496 who underwent at least one of those 3 diagnosis modalities. Of the 39 proven cases, 33 had clinical manifestations (6 asymptomatic patients were diagnosed through systematic serology testing), 31 were managed by home care, 3 were hospitalized due to a need for oxygenation, two required admission to an intensive care unit, and one died. Among patients with confirmed SARS-CoV-2 infection, reported flares were more frequent than in uninfected patients (26.3% [10/38] vs. 7.0% [32/457], p < 0.0001). Preventive sick leave had no significant impact on the prevalence of SARS-CoV-2 infection (5.8% [3/53]) compared to work continuation (7.6% [30/397], p = 0.64). Overall, the seroprevalence of SARS-CoV-2 was 6.6% (31/469) which was numerically lower to the Grand-Est general population estimated to be 9.0%. Conclusions This systematic survey of more than 1000 patients with rare systemic autoimmune diseases reports a low prevalence of proven SARS-CoV-2 infection and very rare severe infections, probably related to good compliance with prophylactic measures in these patients.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.