ANIFROLUMAB IN THE TREATMENT OF SYSTEMIC LUPUS ERYTHEMATOSUS – SINGLE TERTIARY CENTER EXPERIENCE
Bibliographic record
Abstract
PV274 / #146 Poster Topic: AS24 - SLE-Treatment Background/Purpose Systemic lupus erythematosus (SLE) is a multi-systemic, chronic, autoimmune disease that can affect any organ or organ system, most commonly the skin and mucous membranes, kidneys, serous membranes, hematopoietic system, musculoskeletal system, and central nervous system. The fundamental importance of interferon type I (IFN-I) is in the defense against viral infections, while in patients suffering from SLE, IFN-I pathways are emphasized both in the genetic predisposition of the disease, as well as in epigenetic modifications, therefore in the early stages of the disease, but also in supporting the active disease. Numerous disease symptoms as well as laboratory features of SLE are associated with the overexpression of genes that regulate IFN-I, which opens the new perspectives and therapeutic opportunities for anifrolumab - a monoclonal antibody that inhibits type 1 interferon receptors. Methods The aim of the paper is to present the experience with the treatment of patients with SLE using anifrolumab in the Department of Clinical Immunology and Rheumatology, University Hospital Centre Zagreb, Croatia in the period from 31.7.2023. until 15.9.2024. with reference to demographic data, laboratory parameters, clinical manifestations, impact on disease activity, glucocorticoid cotherapy, but also side effects. In Croatia, anifrolumab is available from 2023. as an add-on therapy in SLE adult patients who despite standard imunossupresive therapy have moderately to high clinically and serologically active disease. Standard methods of descriptive statistics, as well as trend analysis were used in data processing. Results In the mentioned period, 17 SLE patients were treated with the drug anifrolumab. Of these, 15 patients (88.23%) were female. The median age of the patients was 42.47 ± 2.97 years. The age at the time of diagnosis was 31.43 ± 13.74. On average, 9.07 ± 7.36 years passed from the diagnosis of SLE to the start of therapy. The leading clinical manifestations were skin-mucous, then articular and hematological, and constitutional symptoms, followed by serositis, Raynaud’s phenomenon, sicca symptoms, and among the rarer manifestations were kidney affection and relapsing polychondritis, and antiphospholipid syndrome. All patients were treated with glucocorticoids and antimalarials, followed by azathioprine, mycophenolate mofetil, methotrexate and cyclophosphamide. Two patients were previously treated with thalidomide, and in individual cases the therapy included rituximab, leflunomide and intravenous immunoglobulins. We noticed high drug persistence rate (88.23%). There were 10 adverse events, namely bilateral pneumonia, bronchitis in 2 cases, sinusitis, COVID-19, bartonellosis, purpura on the fingers, insufficient efficacy in 2 cases and infusion reaction. We analyzed impact of the drug on serologic and laboratory features (lymphocyte count, dsDNA, C3, C4), disease activity measured by SLEDAI-2K, SLE-DAS, ECLAM, VAS gh after 3 and 6 months of therapy respectively. A trend in disease activity indices is depicted in Figure 1. Data related to the trend analysis regarding complement components, lymphocytes and dsDNA are shown in separate graphs, as well as data concerning glucocorticoid reduction after 3 and 6 months on therapy, which one is enclosed here (Figure 2). Figure 1. Figure 2. Conclusions Our results demonstrated that anifrolumab can be considered as an effective, “add-on’’ therapy of moderate to severe SLE. By monitoring disease activity indices (SLEDAI-2K, SLE-DAS, ECLAM, VAS), an advantageous trend in disease activity status was verified with an acceptable safety profile of the drug and a high persistence rate of a drug. Lower disease activity allowed us to perform substantial glucocorticoid dose reduction accounting for a positive impact on cumulative organ damage reduction.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".