Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Fang, Xiqin, Sun, Sujuan, Yang, Tingting, Liu, Xuewu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
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
_version_ 1785028319609094144
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
work_keys_str_mv AT fangxiqin predictiveroleofbloodbasedindicatorsinneuromyelitisopticaspectrumdisorders
AT sunsujuan predictiveroleofbloodbasedindicatorsinneuromyelitisopticaspectrumdisorders
AT yangtingting predictiveroleofbloodbasedindicatorsinneuromyelitisopticaspectrumdisorders
AT liuxuewu predictiveroleofbloodbasedindicatorsinneuromyelitisopticaspectrumdisorders