ArticleArthritis research & therapy2025
Concomitant Sjögren's disease in patients with NMOSD: impacts on neurologic disease severity and recurrence.
Article in Arthritis research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Comparison of clinical and laboratory characteristics of neuromyelitis optica spectrum disorder with or without anti-connective tissue antibodies: an 18-month cohort follow-up.Frontiers in immunology · 2026Article
- Neuromyelitis optica spectrum disorder overlapping with Sjögren's disease: immunopathological links and therapeutic implications.Frontiers in immunology · 2026Review
- Dissecting NMOSD pathogenesis through animal models: a mechanism-oriented systems perspective.Frontiers in immunology · 2026Review
- Review
- Neuroimmunological overlap syndromes in optic neuritis, myelitis, and connective tissue diseases.Frontiers in neurologyReview
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Authors and funding
9 authors.
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Abstract
backgroundWe aimed to characterize the phenotype of neuromyelitis optica spectrum disorder (NMOSD) in the presence and absence of Sjogren's disease (SjD) and to develop a predictive nomogram to evaluate the risk of coexisting SjD within a single tertiary-center cohort of NMOSD patients.
methodsParaclinical and clinical features of patients with SjD were compared between NMOSD patients with SjD and those without SjD. Zstats v1.0 was utilized to randomly allocate participants into a derivation group (108 patients) and a validation group (47 patients) at a ratio of 7:3. Logistic regression analysis was used to assess the effectiveness of our predictive model, and a nomogram was created to illustrate the findings.
resultsA total of 155 NMOSD patients who were serologically positive for AQP4-IgG were cross-sectionally recruited (70 NMOSD patients with SjD [45.16%] and 85 NMOSD patients without SjD [54.84%]). Independent predictors of coexisting SjD were age upon recruitment (P = 0.002); Expanded Disability Status Scale (EDSS) score (P = 0.023); blood white blood cell (WBC) count (P = 0.049); and rheumatoid factor (RF) (P = 0.049), anti-SSA (Ro), and anti-SSB (La) antibody positivity (P < 0.001; P = 0.012). The nomogram had an area under the receiver operating characteristic (ROC) curve (AUC) (95% confidence interval [CI]) of 0.95 (0.89, 1.00) in the derivation cohort and 0.91 (0.79, 1.00) in the validation cohort. Survival curve analysis revealed that the EDSS score in the NMOSD patients with SjD was associated with clinical relapse, and these patients reached an EDSS score of 4.0 earlier than those without SjD.
conclusionNMOSD patients with SjD manifested more severe disease at attack and relapsed earlier than those without SjD. The nomogram established by combining age upon recruitment; EDSS score; blood WBC count; and RF, anti-SSA (Ro), and anti-SSB (La) antibody levels can significantly predict the risk of NMOSD combined with SjD.
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