Optimizing kappa free light chain index thresholds for multiple sclerosis (MS) diagnosis in low-MS prevalence

Su-Hyun Kim1, You-Ri Kang2, Jieun Chung1

  • 1Department of Neurology, Research Institute and Hospital of National Cancer Center, Goyang, Korea.

Multiple Sclerosis (Houndmills, Basingstoke, England)
|December 27, 2025
PubMed

Insights

The kappa free light chain (KFLC) index effectively diagnoses multiple sclerosis (MS) in Asian populations. Optimized, sex-specific thresholds enhance diagnostic accuracy for MS, especially where conditions like NMOSD and MOGAD are common.

Area of Science:

  • Neurology
  • Immunology
  • Biomarker Discovery

Background:

  • The kappa free light chain (KFLC) index is a validated marker for intrathecal immunoglobulin synthesis.
  • Its diagnostic utility for multiple sclerosis (MS) in Asian populations, where MS mimics are prevalent, is not well-established.

Purpose of the Study:

  • To validate the KFLC index for diagnosing MS in a Korean cohort.
  • To determine optimal KFLC index thresholds for MS diagnosis in this population.

Main Methods:

  • Retrospective analysis of 208 patients with cerebrospinal fluid (CSF) evaluation.
  • Comparison of KFLC index and other biomarkers between MS and non-MS groups (including NMOSD, MOGAD).
  • Receiver operating characteristic (ROC) analysis to identify diagnostic thresholds.

Main Results:

  • An optimal KFLC index threshold of ⩾12.6 demonstrated 84% sensitivity and 74% specificity for MS diagnosis.
  • Combining the KFLC index with oligoclonal bands (OCBs) increased specificity to 93%.
  • Sex-specific thresholds (⩾22.8 for females, ⩾7.0 for males) improved diagnostic performance.

Conclusions:

  • The KFLC index is a reliable biomarker for MS diagnosis in Asian populations.
  • Optimized and sex-specific thresholds enhance diagnostic precision, particularly in regions with high prevalence of MS mimics.
  • Findings align with the global diagnostic performance of the KFLC index for MS.
Abstract