Radiological and Laboratory Features of Multiple Sclerosis Patients With Immunosuppressive Therapy: A Multicenter Retrospective Study in Japan

Association of cerebrospinal inflammatory profile with radiological features in newly diagnosed treatment-naïve patients with multiple sclerosis

Objective

Multiple sclerosis (MS) is an immune-mediated demyelinating disease of the central nervous system. Without reliable diagnostic biomarkers, the clinical and radiological heterogeneity of MS makes diagnosis difficult. Although magnetic resonance imaging (MRI) is a major diagnostic tool for MS, the association of MRI findings with the inflammatory profile in cerebrospinal fluid (CSF) has been insufficiently investigated. Therefore, we focused on CSF profile of MS patients and examined its association with MRI findings.

Methods

Concentrations of 26 cytokines and chemokines were determined in CSF of 28 treatment-naïve MS patients and 12 disease-control patients with aquaporin-4 antibody-seropositive neuromyelitis optica spectrum disorder (NMOSD).

Results

High levels of interleukin (IL)-6, IL-17A, B-cell activating factor (BAFF), a proliferation inducing ligand (APRIL), and CD40 ligand were correlated with the absence of at least one of the following three MRI findings in MS: an ovoid lesion, three or more periventricular lesions, and a nodular and/or ring-shaped contrast-enhancing lesion. The multivariate analysis revealed that elevated IL-17A was an independent predictor of absence of ovoid lesion and periventricular lesions less than three. MS patients were classified into a group with all three MRI findings (MS-full) and a group with less than three (MS-partial). The discriminant analysis model distinguished three groups: MS-full, MS-partial, and NMOSD, with 98% accuracy.

Conclusion

The CSF inflammatory profile was associated with radiological findings of treatment-naïve MS. This result indicates the possible utility of combined CSF and MRI profiling in identifying different MS phenotypes related to the heterogeneity of underlying immune processes.

A Principal Component Analysis Approach to Estimate the Disability Status for Patients with Multiple Sclerosis Using Japanese Claims Data

INTRODUCTION

Claims databases are preferred for research on multiple sclerosis (MS) as this condition is characterized by low prevalence and long disease course. However, Japanese claims databases contain no information on disease severity or disability status of MS. Here, we aimed to explore the possibility of utilizing a principal component analysis (PCA) to estimate MS severity using a Japanese claims database.

METHODS

An MS severity score was developed using a PCA. Factors related to functional systems for Expanded Disability Status Scale (EDSS) and higher disease severity (74 diagnoses, 68 drug prescriptions, and 77 procedures) were extracted from the claims database (April 2008-August 2018). The score (PC1 score) was developed for each patient-year-each year from the first diagnosis (excluding the year of the first diagnosis), based on the first principal component of the included factors. Finally, the patient-years were classified into quartiles based on the PC1 score, and demographic information and medical status were analyzed.

RESULTS

The database contained 7067 patients with MS. The highest score group had a higher mean age (55.4 ± 0.2 [mean ± standard error] years), lower percentage of women (64.4 ± 0.7%), and longer mean disease duration from first diagnosis (8.1 ± 0.1 years) than the lowest score group (43.3 ± 0.2 years, 68.4 ± 0.8%, and 6.0 ± 0.1 years, respectively). In addition, the PC1 score of each patient positively correlated with disease duration from diagnosis.

CONCLUSION

We developed a PC1 score to indicate MS severity using information from a Japanese claims database. Since changes in demographic features we observed are consistent with findings of previous research, this score might represent MS severity to some extent. Further research is necessary to validate this score with clinical measurement of disability such as the EDSS.