Kappa Free Light Chain Index for MS Diagnosis: A Pilot Study from Argentina

124 patients were included in a retrospective cross-sectional study evaluating the diagnostic performance of the kappa free light chain (κ-FLC) index for multiple sclerosis. The dataset, created by Analisa Manin and last updated in May 2026, compares patients with MS/clinically isolated syndrome against other inflammatory and non-inflammatory neurological disorders. It includes calculated κ-FLC index values and results from Reiber's diagram analysis.

Use Cases

• Validate diagnostic cut-off thresholds for the κ-FLC index based on the reported sensitivity and specificity values.
• Compare the performance of the κ-FLC index against Reiber's diagram method for detecting intrathecal immunoglobulin synthesis.
• Benchmark biomarker performance in a real-world clinical cohort that includes other inflammatory and non-inflammatory neurological diseases.

Strengths

• Dataset is derived from a study of 124 real-world patients, providing a concrete clinical cohort.
• Results include specific diagnostic performance metrics, such as an optimal κ-FLC index cut-off of 14.6 with 73.5% sensitivity.
• The study design compares multiple sclerosis against two distinct control groups (other inflammatory and non-inflammatory diseases).

Limitations

• The dataset is very small at 19.1 KB, suggesting limited scope and sample size.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic bias inherent to the single-center study conducted in Argentina.

Provenance

Source

figshare

Collection Method

Retrospective cross-sectional study of consecutive patients undergoing diagnostic lumbar puncture at a tertiary public hospital.

Freshness

Last updated 2026-05-29 04:45:07; freshness should be verified.

Geography

Argentina