- Abstract Number: 1607
Low Concentrations of Anti-C5a Complement Receptor Antibodies Are Associated with Relapse in Eosinophilic Granulomatosis with Polyangiitis (EGPA)
- Abstract Number: 2351
Low Uveitis Rates in Patients with Axial Spondyloarthritis or Psoriatic Arthritis Treated with Bimekizumab: Long-Term Results from Phase 2b/3 Trials
- Abstract Number: 0565
Low Vitamin D Serum Level Is a Risk Factor for Ankylosis in Axial Spondyloarthritis: Evidence from a Nested-Case-Control Study
- Abstract Number: 2270
Low Yield of Routine Serological Screening for Hepatitis B in Patients with Rheumatoid Arthritis Starting Rituximab Therapy in a Non-Endemic Country
- Abstract Number: 0467
Lung Involvement in Early Rheumatoid Arthritis, Analysis of ERA UCLouvain Brussels FINDRA Cohort
- Abstract Number: 0853
Lung Ultrasound in Rheumatoid Arthritis and Systemic Sclerosis: Accuracy of B-line and Pleural Assessment
- Abstract Number: 0630
Lupus Lymphocyte Activation Score of Pathologic T and B Cell Phenotypes Increased in Patients at Risk of Systemic Lupus Erythematosus
- Abstract Number: 0656
Lupus Myocarditis: Clinical Characteristics, Cardiac Magnetic Resonance Imaging Findings and Outcomes
- Abstract Number: 1511
Lupus Nephritis and Response to Treatment in Latin America
- Abstract Number: 1489
Lupus Nephritis Clinical and Serological Responses at 12 Months: Implications for Repeat Biopsy, Intensified Immunosuppression or Additional Anti-proteinuric Therapy
- Abstract Number: 2591
Lupus-Related Reproductive Health Experiences and Needs of Women of Childbearing Age: A Qualitative Study
- Abstract Number: 1838
M5542: A Potent CD80, CD86, and OX40L Antagonist Fusion Molecule for the Treatment of Autoimmune Diseases
- Abstract Number: 1129
Machine Learning Algorithms to Predict Colchicine Resistance in Familial Mediterranean Fever
- Abstract Number: 2469
Machine Learning Identifies Oesophageal Symptoms as a New Red Flag for for Very Early Diagnosis of Systemic Sclerosis (VEDOSS): A EUSTAR Analysis
- Abstract Number: 0194
Machine Learning Methods to Predict Cardiovascular Risk in Hispanic Patients with Systemic Lupus Erythematosus
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