6 research outputs found

    Role of targeted therapies in rheumatic patients on COVID-19 outcomes: results from the COVIDSER study

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    Objectives: To analyse the effect of targeted therapies, either biological (b) disease-modifying antirheumatic drugs (DMARDs), targeted synthetic (ts) DMARDs and other factors (demographics, comorbidities or COVID-19 symptoms) on the risk of COVID-19 related hospitalisation in patients with inflammatory rheumatic diseases. Methods: The COVIDSER study is an observational cohort including 7782 patients with inflammatory rheumatic diseases. Multivariable logistic regression was used to estimate ORs and 95% CIs of hospitalisation. Antirheumatic medication taken immediately prior to infection, demographic characteristics, rheumatic disease diagnosis, comorbidities and COVID-19 symptoms were analysed. Results: A total of 426 cases of symptomatic COVID-19 from 1 March 2020 to 13 April 2021 were included in the analyses: 106 (24.9%) were hospitalised and 19 (4.4%) died. In multivariate-adjusted models, bDMARDs and tsDMARDs in combination were not associated with hospitalisation compared with conventional synthetic DMARDs (OR 0.55, 95% CI 0.24 to 1.25 of b/tsDMARDs, p=0.15). Tumour necrosis factor inhibitors (TNF-i) were associated with a reduced likelihood of hospitalisation (OR 0.32, 95% CI 0.12 to 0.82, p=0.018), whereas rituximab showed a tendency to an increased risk of hospitalisation (OR 4.85, 95% CI 0.86 to 27.2). Glucocorticoid use was not associated with hospitalisation (OR 1.69, 95% CI 0.81 to 3.55). A mix of sociodemographic factors, comorbidities and COVID-19 symptoms contribute to patients' hospitalisation. Conclusions: The use of targeted therapies as a group is not associated with COVID-19 severity, except for rituximab, which shows a trend towards an increased risk of hospitalisation, while TNF-i was associated with decreased odds of hospitalisation in patients with rheumatic disease. Other factors like age, male gender, comorbidities and COVID-19 symptoms do play a role.This Project has been financed by Bristol-Myers Squibb, Galapagos Biopharma Spain SLU, Gebro Pharma, Roche Farma and Sanofi Aventis

    Efficacy and Safety of Nonbiologic Immunosuppressants in the Treatment of Nonrenal Systemic Lupus Erythematosus: A Systematic Review

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    OBJECTIVE: To analyze the efficacy and safety of nonbiologic immunosuppressants in the treatment of nonrenal systemic lupus erythematosus (SLE). METHODS: We conducted a sensitive literature search in Medline, Embase, and the Cochrane Central Register of Controlled Trials up to October 2011. The selection criteria were studies including adult patients with SLE, a treatment intervention with nonbiologic immunosuppressants, a placebo or active comparator group, and outcome measures assessing efficacy and/or safety. Meta-analyses, systematic reviews, clinical trials, and cohort studies were included. The quality of each study was evaluated using Jadad's scale and the Oxford Levels of Evidence. RESULTS: In total, 158 of the 2,827 initially found articles were selected for detailed review; 65 studies fulfilled the predetermined criteria. Overall, the studies were low quality, with only 11 randomized controlled trials (RCTs). Cyclophosphamide demonstrated efficacy for neuropsychiatric SLE, preventing relapses with an additional steroid sparing effect, although its use was associated with cumulative damage, development of cervical intraepithelial neoplasia,and ovarian failure. Other immunosuppressants (azathioprine, methotrexate, leflunomide, mycophenolate mofetil,and cyclosporin A) demonstrated efficacy in reducing nonrenal activity and flares with a steroid-sparing effect, although only on occasion in non-placebo-controlled RCTs of small numbers of patients. CONCLUSION: Several immunosuppressants demonstrated their safety and efficacy in nonrenal SLE. A specific drug for each particular manifestation cannot be recommended, although cyclophosphamide may be used in more severe cases, and methotrexate may be the first option in most cases of moderately active SLE. High-quality RCTs of larger numbers of patients are needed

    Pure Membranous Lupus Nephritis: Description of a Cohort of 150 Patients and Review of the Literature

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    Objectives: The course and long-term outcome of pure membranous lupus nephritis (MLN) are little understood. The aims of this study are to evaluate the clinical features, course, outcome and prognostic indicators in pure MLN and to determine the impact of ethnicity and the type of health insurance on the course and prognosis of pure MLN.Methods: We conducted a retrospective review of medical records of 150 patients with pure MLN from Spain and the USA.Results: Mean age was 34.2 +/- 12.5 and 80% were women. Sixty-eight percent of patients had nephrotic syndrome at diagnosis. The average serum creatinine was 0.98 +/- 0.78 mg/dl. Six percent of patients died and 5.3% developed end-stage renal disease (ESRD). ESRD was predicted by male sex, hypertension, dyslipidemia, high basal 24 h-proteinuria, high basal serum creatinine and a low basal creatinine clearance. Age, cardiac insufficiency, peripheral artheriopathy, hemodialysis and not having received mycophenolate mofetil or antimalarials for MLN predicted death.Conclusions: Pure MLN frequently presents with nephrotic syndrome, high proteinuria and normal serum creatinine. Its prognosis is favourable in maintaining renal function although proteinuria usually persists over time. Baseline cardiovascular disease and not having a health insurance are related with poor prognosis. (C) 2017 Elsevier Espana, S.L.U. and Sociedad Espanola de Reumatologia y Colegio Mexicano de Reumatologia. All rights reserved

    Transancestral mapping and genetic load in systemic lupus erythematosus

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    Systemic lupus erythematosus (SLE) is an autoimmune disease with marked gender and ethnic disparities. We report a large transancestral association study of SLE using Immunochip genotype data from 27,574 individuals of European (EA), African (AA) and Hispanic Amerindian (HA) ancestry. We identify 58 distinct non-HLA regions in EA, 9 in AA and 16 in HA (similar to 50% of these regions have multiple independent associations); these include 24 novel SLE regions (P < 5 x 10(-8)), refined association signals in established regions, extended associations to additional ancestries, and a disentangled complex HLA multigenic effect. The risk allele count (genetic load) exhibits an accelerating pattern of SLE risk, leading us to posit a cumulative hit hypothesis for autoimmune disease. Comparing results across the three ancestries identifies both ancestry-dependent and ancestry-independent contributions to SLE risk. Our results are consistent with the unique and complex histories of the populations sampled, and collectively help clarify the genetic architecture and ethnic disparities in SLE.We gratefully acknowledge the Alliance for Lupus Research for funding and support. The research was supported in part by awards from the Arthritis Research UK Special Strategic Award (ref. 19289) and from George Koukis (T.J.V.). In addition, the research was funded/supported by the National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust and King's College London (T.J.V.). The work would not be possible without funding from the NIH grants AR049084 (RPK, EEB); the International Consortium on the Genetics of Systemic Lupus Erythematosus (SLEGEN) AI083194 (J.B.H.); CA141700, AR058621 Proyecto de Excelencia, Consejeria de Andalucia (M.E.A.R.); AR043814 and AR-065626 (B.P.T.); AR060366, MD007909, AI107176 (S.K.N.); AR-057172 (C.O.J.); RC2 AR058959, U19 A1082714, R01 AR063124, P30 GM110766, R01 AR056360 (P.M.G.); P60 AR053308 (L.A.C.), MUSC part is from UL1RR029882 (G.S.G., D.L.K.) and 5P60AR062755 (G.S.G., D.L.K., P.R.R.). Oklahoma Samples U19AI082714, U01AI101934, P30GM103510, U54GM104938 and P30AR053483 (J.A.J., J.M.G.); Northwestern P60 AR066464 and 1U54TR001018 (R.R.G.); This study was supported by the US National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institutes of Health (NIH) under Award Numbers K01 AR067280 and P60 AR062755 (PSR); N01AR22265 (funded collection of APPLE samples) (LES) and the APPLE Investigators; R01AR43727, NIH AR 043727 and 069572 (M.P.); NIAMS/NIH P50-AR055503 (D.R.K.). We would like to also thank the RILITE foundation for financial support (C.D.L.). Additional funding for Immunochip genotyping was provided by Genentech.Peer reviewe
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