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lupus.bmj16h
P62 Machine learning approaches for prediction of renal flares in systemic lupus erythematosus: knowledge-driven models outperformed data-driven models
Objective Renal flares in patients with systemic lupus erythematosus (SLE) result in significant nephron loss. Thus, identification of reliable early signals of impending renal flares is anticipated ...
lupus.bmj23h
PO.2.50 Utility in clinical practice of anti-dsdna autoantibodies vs antidna crithidia luciliae in the diagnosis of systemic lupus erythematosus
Introduction Double-stranded-DNA antibodies (antiDNAds) are the most frequently detected serological markers in patients with Systemic Lupus Erythematosus (SLE). In clinical practice, it is usually ...
lupus.bmj21h
204 IL-4 as a negative regulator of pathogenic extrafollicular DN2 B cells in SLE
Background Pathogenic extrafollicular double negative 2 (DN2) B cells in SLE have a phenotype of IgD − CD27 − Tbet + CD11c +, and are the precursor of ribonuclear protein (RNP) autoantibody producing ...
lupus.bmj21h
602 Childhood-onset Systemic Lupus Erythematosus: Long-term outcomes in a large multi-ethnic Ontario cohort
Background/Purpose The long-term morbidity and mortality of childhood-onset SLE (cSLE) after transition to adult care is not well documented. The present study aims to fill this knowledge gap by ...