已发表论文

血清白蛋白水平可以预测视神经脊髓炎谱系疾病急性期的免疫治疗反应

 

Authors Xiang W, Wu Y, Li H, Zhu D , Yao X, Ding J, Wang Z, Guan Y

Received 29 September 2023

Accepted for publication 16 January 2024

Published 12 February 2024 Volume 2024:17 Pages 909—917

DOI https://doi.org/10.2147/JIR.S442532

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Monika Sharma

Background: Neuromyelitis optica spectrum disorder (NMOSD) is an autoimmune demyelinating disease of the central nervous system. However, few biomarkers have been found to predict the outcome of immunotherapy. We investigated the relationship between the serum albumin (S-Alb) and response to immunotherapy in acute NMOSD patients.
Methods: A total of 107 consecutive Chinese patients with acute NMOSD diagnosed between January 2013 and January 2022 were included in our prospective observational study. S-Alb was measured by the use of bromocresol green and immunoturbidimetric methods on admission. The immunotherapy response was assessed by the percentage change in the expanded disability status scale (EDSS) score from admission to discharge after treatment. We evaluated the association between S-Alb and immunotherapy response through multivariate logistic regression analysis.
Results: S-Alb levels were significantly lower in patients who were resistant to immunotherapy than in those who were responsive to treatment (p< 0.001). S-Alb levels were positively related to a favorable response to immunotherapy (r=0.386, p< 0.001). The odds ratio (95% CI) for the association between S-Alb level and response to immunotherapy was 1.27 (95% CI=1.08, 1.50; p=0.004) after adjusting for potential factors. ROC analysis showed that patients with S-Alb levels lower than 40.85 g/L were likely to be resistant to immunotherapy.
Conclusion: Our study indicated that a higher S-Alb was an independent indicator of response to immunotherapy in acute NMOSD patients.

Keywords: immune diseases, NMOSD, immunotherapy, albumin, multivariate analysis