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Predictive role of blood-based indicators in neuromyelitis optica spectrum disorders
INTRODUCTION: This study aimed to assess the predictive role of blood markers in neuromyelitis optica spectrum disorders (NMOSD). METHODS: Data from patients with NMOSD, multiple sclerosis (MS), and healthy individuals were retrospectively collected in a 1:1:1 ratio. The expanded disability status s...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10115963/ https://www.ncbi.nlm.nih.gov/pubmed/37090792 http://dx.doi.org/10.3389/fnins.2023.1097490 |
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author | Fang, Xiqin Sun, Sujuan Yang, Tingting Liu, Xuewu |
author_facet | Fang, Xiqin Sun, Sujuan Yang, Tingting Liu, Xuewu |
author_sort | Fang, Xiqin |
collection | PubMed |
description | INTRODUCTION: This study aimed to assess the predictive role of blood markers in neuromyelitis optica spectrum disorders (NMOSD). METHODS: Data from patients with NMOSD, multiple sclerosis (MS), and healthy individuals were retrospectively collected in a 1:1:1 ratio. The expanded disability status scale (EDSS) score was used to assess the severity of the NMOSD upon admission. Receiver operating characteristic (ROC) curve analysis was used to distinguish NMOSD patients from healthy individuals, and active NMOSD from remitting NMOSD patients. Binary logistic regression analysis was used to evaluate risk factors that could be used to predict disease recurrence. Finally, Wilcoxon signed-rank test or matched-sample t-test was used to analyze the differences between the indicators in the remission and active phases in the same NMOSD patient. RESULTS: Among the 54 NMOSD patients, neutrophil count, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) (platelet × NLR) were significantly higher than those of MS patients and healthy individuals and positively correlated with the EDSS score of NMOSD patients at admission. PLR can be used to simultaneously distinguish between NMOSD patients in the active and remission phase. Eleven (20.4%) of the 54 patients had recurrence within 12 months. We found that monocyte-to-lymphocyte ratio (MLR) (AUC = 0.76, cut-off value = 0.34) could effectively predict NMOSD recurrence. Binary logistic regression analysis showed that a higher MLR at first admission was the only risk factor for recurrence (p = 0.027; OR = 1.173; 95% CI = 1.018–1.351). In patients in the relapsing phase, no significant changes in monocyte and lymphocyte count was observed from the first admission, whereas patients in remission had significantly higher levels than when they were first admitted. CONCLUSION: High PLR is a characteristic marker of active NMOSD, while high MLR is a risk factor for disease recurrence. These inexpensive indicators should be widely used in the diagnosis, prognosis, and judgment of treatment efficacy in NMOSD. |
format | Online Article Text |
id | pubmed-10115963 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101159632023-04-21 Predictive role of blood-based indicators in neuromyelitis optica spectrum disorders Fang, Xiqin Sun, Sujuan Yang, Tingting Liu, Xuewu Front Neurosci Neuroscience INTRODUCTION: This study aimed to assess the predictive role of blood markers in neuromyelitis optica spectrum disorders (NMOSD). METHODS: Data from patients with NMOSD, multiple sclerosis (MS), and healthy individuals were retrospectively collected in a 1:1:1 ratio. The expanded disability status scale (EDSS) score was used to assess the severity of the NMOSD upon admission. Receiver operating characteristic (ROC) curve analysis was used to distinguish NMOSD patients from healthy individuals, and active NMOSD from remitting NMOSD patients. Binary logistic regression analysis was used to evaluate risk factors that could be used to predict disease recurrence. Finally, Wilcoxon signed-rank test or matched-sample t-test was used to analyze the differences between the indicators in the remission and active phases in the same NMOSD patient. RESULTS: Among the 54 NMOSD patients, neutrophil count, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) (platelet × NLR) were significantly higher than those of MS patients and healthy individuals and positively correlated with the EDSS score of NMOSD patients at admission. PLR can be used to simultaneously distinguish between NMOSD patients in the active and remission phase. Eleven (20.4%) of the 54 patients had recurrence within 12 months. We found that monocyte-to-lymphocyte ratio (MLR) (AUC = 0.76, cut-off value = 0.34) could effectively predict NMOSD recurrence. Binary logistic regression analysis showed that a higher MLR at first admission was the only risk factor for recurrence (p = 0.027; OR = 1.173; 95% CI = 1.018–1.351). In patients in the relapsing phase, no significant changes in monocyte and lymphocyte count was observed from the first admission, whereas patients in remission had significantly higher levels than when they were first admitted. CONCLUSION: High PLR is a characteristic marker of active NMOSD, while high MLR is a risk factor for disease recurrence. These inexpensive indicators should be widely used in the diagnosis, prognosis, and judgment of treatment efficacy in NMOSD. Frontiers Media S.A. 2023-04-06 /pmc/articles/PMC10115963/ /pubmed/37090792 http://dx.doi.org/10.3389/fnins.2023.1097490 Text en Copyright © 2023 Fang, Sun, Yang and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Fang, Xiqin Sun, Sujuan Yang, Tingting Liu, Xuewu Predictive role of blood-based indicators in neuromyelitis optica spectrum disorders |
title | Predictive role of blood-based indicators in neuromyelitis optica spectrum disorders |
title_full | Predictive role of blood-based indicators in neuromyelitis optica spectrum disorders |
title_fullStr | Predictive role of blood-based indicators in neuromyelitis optica spectrum disorders |
title_full_unstemmed | Predictive role of blood-based indicators in neuromyelitis optica spectrum disorders |
title_short | Predictive role of blood-based indicators in neuromyelitis optica spectrum disorders |
title_sort | predictive role of blood-based indicators in neuromyelitis optica spectrum disorders |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10115963/ https://www.ncbi.nlm.nih.gov/pubmed/37090792 http://dx.doi.org/10.3389/fnins.2023.1097490 |
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