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Although B cells account for a significant proportion of the lymphocytic infiltrate in discoid lupus erythematosus (DLE), their contribution to pathogenesis is unknown. In this study, we compare the immune landscape of 17 subjects with DLE with that of 21 subjects with subacute cutaneous lupus erythematosus using transcriptomic and histologic analyses of lesional skin. A few of the subjects (3 of 17 subjects with DLE, and 5 of 21 subjects with subacute cutaneous lupus erythematosus) had concomitant systemic lupus erythematosus. Using a modified Autoimmune Profiling Panel (NanoString Technologies, Seatle, WA), we show that B-cell‒specific genes, including canonical pan‒B cell markers CD19 (P = 0.0060), MS4A1 (CD20) (P = 0.0047), and CD79a (P = 0.0201), are among the most upregulated genes in DLE. Numerous other genes encoding B-cell‒associated proteins, including Igs, BAFF receptors, and FCRL family members, are similarly enriched. Relative cell type scoring reveals that among various inflammatory cell types, only B cells are more prevalent in DLE. Digital whole-image slide analysis of immunohistochemistry for B cells (CD20) and T cells (CD3) supports our gene expression findings of a disproportionately greater B-cell infiltrate in DLE lesions. Overall, this study identifies a B-cell‒predominant signature unique to DLE and highlights the importance of studying the role of cutaneous B cells in DLE pathogenesis.

ObjectiveTo determine which findings on routine clinical EEGs correlate with delirium severity across various presentations and to determine whether EEG findings independently predict important clinical outcomes.MethodsWe prospectively studied a cohort of nonintubated inpatients undergoing EEG for evaluation of altered mental status. Patients were assessed for delirium within 1 hour of EEG with the 3-Minute Diagnostic Interview for Confusion Assessment Method (3D-CAM) and 3D-CAM severity score. EEGs were interpreted clinically by neurophysiologists, and reports were reviewed to identify features such as theta or delta slowing and triphasic waves. Generalized linear models were used to quantify associations among EEG findings, delirium, and clinical outcomes, including length of stay, Glasgow Outcome Scale scores, and mortality.ResultsWe evaluated 200 patients (median age 60 years, IQR 48.5–72 years); 121 (60.5%) met delirium criteria. The EEG finding most strongly associated with delirium presence was a composite of generalized theta or delta slowing (odds ratio 10.3, 95% confidence interval 5.3–20.1). The prevalence of slowing correlated not only with overall delirium severity (R2 = 0.907) but also with the severity of each feature assessed by CAM-based delirium algorithms. Slowing was common in delirium even with normal arousal. EEG slowing was associated with longer hospitalizations, worse functional outcomes, and increased mortality, even after adjustment for delirium presence or severity.ConclusionsGeneralized slowing on routine clinical EEG strongly correlates with delirium and may be a valuable biomarker for delirium severity. In addition, generalized EEG slowing should trigger elevated concern for the prognosis of patients with altered mental status.