Peripheral blood inflammatory cell ratios derived from complete blood count as predictors of multiple sclerosis disease activity and severity

Multiple sclerosis (MS) is an autoimmune disorder affecting the central nervous system. This retrospective cohort study analyzed medical records of 98 MS patients to evaluate the predictive role of neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) in disease activity and severity. High NLR exhibited the strongest predictive value, with a cutoff >2.681 yielding sensitivity of 97.6% and specificity of 85.7% for severe disease. Elevated MLR was also associated with disease severity and activity, though less predictive than NLR. PLR was predictive of high disease activity but not severity. In conclusion, NLR is a strong and readily available biomarker for predicting MS activity and severity, outperforming MLR and PLR, and may aid early risk stratification and clinical decisions.

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Publication Details

Journal
Egyptian journal of Immunology
Published
2026-04-01
DOI
https://doi.org/10.55133/eji.330205
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
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article

Peripheral blood inflammatory cell ratios derived from complete blood count as predictors of multiple sclerosis disease activity and severity

Egyptian journal of Immunology
Inflammatory Biomarkers in Disease Prognosis
article

Peripheral blood inflammatory cell ratios derived from complete blood count as predictors of multiple sclerosis disease activity and severity

article en

Abstract

Multiple sclerosis (MS) is an autoimmune disorder affecting the central nervous system. This retrospective cohort study analyzed medical records of 98 MS patients to evaluate the predictive role of neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) in disease activity and severity. High NLR exhibited the strongest predictive value, with a cutoff >2.681 yielding sensitivity of 97.6% and specificity of 85.7% for severe disease. Elevated MLR was also associated with disease severity and activity, though less predictive than NLR. PLR was predictive of high disease activity but not severity. In conclusion, NLR is a strong and readily available biomarker for predicting MS activity and severity, outperforming MLR and PLR, and may aid early risk stratification and clinical decisions.

Egyptian journal of ImmunologyVol. 33(2)
Ain Shams University (EG)
Good health and well-being
Openalex Percentile: Top 8%
Inflammatory Biomarkers in Disease Prognosis
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Peripheral blood inflammatory cell ratios derived from complete blood count as predictors of multiple sclerosis disease activity and severity · Egyptian journal of Immunology (2026) | TGRS Research Map | TGRS