ArticleMolecular neurobiology2025
The Potential Implications of Neutrophil to Albumin Ratio for Short-term Prognosis in Myasthenia Gravis Patients.
Article in Molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Association of logarithmic lymphocyte-albumin product with active tuberculosis in children and adolescents.Frontiers in nutrition · 2026Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Studies have shown that inflammation plays an important role in the pathogenesis of Myasthenia gravis (MG). The neutrophil to albumin ratio (NAR) stands out as a novel inflammatory biomarker; however, its relationship with MG has not been explored. This study aims to investigate the ability of NAR to monitor disease severity and predict the short-term prognosis in patients with MG. This retrospective study included 134 patients with MG. Multivariate regression and subgroup analyses were used to comprehensively explore the association between NAR and short-term prognoses. A prediction model was then built and visualized using a nomogram. Three approaches were used to evaluate the performance of the proposed nomogram. The NAR was significantly higher in patients with more severe disease conditions at baseline (p < 0.001). After adjusting for confounding factors, NAR was still independently associated with short-term prognosis of patients with MG (OR = 5.376, 95%CI = 1.321-21.881, p = 0.019). Prehospital infection, thymectomy, Myasthenia Gravis Foundation of America classification and NAR were included to establish the final short-term prognosis prediction model. The good performance of the model was verified by the receiver operating characteristic curve (AUC = 0.782, p < 0.05), calibration curve (chi-square = 8.492, p = 0.387) and decision curve analysis plot. Our study found that NAR can effectively monitor disease severity in patients with MG and is independently associated with short-term prognosis. The nomogram visualizes the prediction model and is beneficial for clinical application.
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