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Neutrophil-to-lymphocyte ratio is an independent predictor for neurological disability in patients with idiopathic transverse myelitis

Min, JH | Sohn, SY | Lee, SY | Seo, SH | Kim, SY | Park, B  | Kim, SI | Joo, IS
BMC neurology, 23(1). : 336-336, 2023
Journal Title
BMC neurology
Introduction: The neutrophil-to-lymphocyte ratio (NLR) has been found to be useful in the prognostication of immune-mediated neurological disorders because it roughly reflects the systemic innate immune response compared to the adaptive immune response. However, studies on the validity of NLR in demyelinating disorders of the central nervous system have shown conflicting results. Therefore, we aimed to investigate NLR in the idiopathic transverse myelitis (ITM) cohort. Methods: We retrospectively analyzed the cohort data of patients with ITM between January 2006 and February 2020. The medical data of all patients with myelitis were reviewed to exclude patients with disease-associated myelopathy according to predefined exclusion criteria. The relationship between the natural log-transformed NLR (lnNLR) and the clinical, paraclinical, and imaging data was evaluated. Factors associated with neurological disability were analyzed using a linear mixed-effects model. Predictive factors for moderate-to-severe neurological disability (Expanded Disability Status Scale [EDSS] score ≥ 4) were investigated. Results: A total of 124 participants were included in the analysis. The lnNLR correlated with EDSS and lesion length. Linear mixed-effects analysis showed that age, lesion length, and lnNLR were independently associated with neurological disabilities. Multivariable logistic regression revealed that lnNLR (odds ratio [OR] = 4.266, 95% confidence interval [CI] = 1.220–14.912, p = 0.023) and lesion length (OR = 1.848, 95% CI = 1.249–2.734, p = 0.002) were independent predictive factors of the worst neurological disability. Conclusion: NLR may be used as an independent prognostic factor for predicting poor neurological outcomes in patients with ITM.


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Journal Papers > School of Medicine / Graduate School of Medicine > Biomedical Informatics
Journal Papers > School of Medicine / Graduate School of Medicine > Neurology
Ajou Authors
박, 범희  |  주, 인수
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