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Published on: November 29, 2019
Optimized Kappa-Index Test Protocol to Detect Intrathecal Immunoglobulin Synthesis in Multiple Sclerosis
Joel Björklund1, Outi Itkonen1, Pasi Nokelainen1
1Department of Clinical Chemistry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Insights
The Kappa-index (K-index) effectively detects intrathecal immunoglobulin synthesis, potentially replacing oligoclonal banding (OCB). A reflex approach optimizing K-index cutoffs improves diagnostic efficiency for neuroinflammatory diseases like multiple sclerosis (MS).
Area of Science:
- Neurology
- Immunology
- Clinical Chemistry
Background:
- Kappa free light chain (KFLC)-based Kappa-index (K-index) shows promise in detecting intrathecal immunoglobulin synthesis, potentially serving as an alternative to oligoclonal banding (OCB).
- Current diagnostic protocols exhibit variability in K-index cutoffs, necessitating further research to optimize its diagnostic utility.
Purpose of the Study:
- To compare different approaches for optimizing the K-index assay for diagnostic utilization in neuroinflammatory diseases.
- To evaluate the K-index's effectiveness in detecting intrathecal immunoglobulin synthesis compared to OCB.
Main Methods:
- Analysis of 432 paired cerebrospinal fluid (CSF)/serum samples from patients with multiple sclerosis (MS), clinically isolated syndrome (CIS), and other neuroinflammatory diseases (non-MS).
- Measurement of K-index using the Optilite platform and OCB via isoelectric focusing on the Hydrasys platform.
- Comparison of K-index values between OCB-positive and OCB-negative groups, and across different disease cohorts (MS, CIS, non-MS).
Main Results:
- OCB-positive cases demonstrated significantly higher K-index values compared to OCB-negative cases.
- The MS group exhibited a higher K-index than CIS (p=0.0066) and non-MS (p<0.0001) groups.
- Established K-index cutoffs for differentiating MS from CIS (80.9) and non-MS (61.4). Optimized cutoffs using the limit of detection (LOD) with 95% sensitivity and specificity were <4.45 (negative) and >12.92 (positive).
Conclusions:
- Published K-index cutoffs vary due to inconsistent handling of CSF KFLC results below the LOD.
- A reflex approach, considering samples within a K-index gray area for OCB verification and classifying CSF KFLC below LOD as negative, represents the most efficient laboratory algorithm.
- The K-index may hold prognostic value in MS, warranting further investigation.
Background:
Kappa free light chain (KFLC)-based Kappa-index (K-index) can substitute oligoclonal banding (OCB) to detect intrathecal immunoglobulin synthesis. Cutoffs for positive results vary; therefore, further comparison of different approaches is necessary to optimize K-index for diagnostic utilization.
Methods:
We analyzed 432 paired CSF/serum samples and selected 77 OCB-positive patients with multiple sclerosis (MS), clinically isolated syndrome (CIS) that did not progress to MS in > 10 years, and other neuroinflammatory diseases (non-MS). K-index subtests were measured on the Optilite platform (The Binding Site) and OCB with isoelectric focusing on the Hydrasys platform (Sebia).
Results:
OCB positive cases had a higher K-index than OCB negative. The MS group had a higher K-index than CIS (p = 0.0066) and non-MS (p < 0.0001). A K-index over 80.9 suggests MS over CIS, and 61.4 suggests MS over non-MS. Different values to mimic undetectable CSF KFLC levels resulted in different cutoffs against positive OCB. Using the limit of detection (LOD) of the assay and fixing sensitivity and specificity to 95% to establish the gray area, the cutoffs were < 4.45 (negative) and > 12.92 (positive). When undetectable CSF KFLC was also considered negative, specificity against OCB was 99.7% and sensitivity 92.7%, leaving 6% for gray area OCB verification testing.
Conclusions:
Published K-index cutoffs vary due to different settings of CSF KFLC results below LOD. Using a reflex approach, where samples within a certain K-index gray area are subjected to OCB verification testing, and where samples with CSF KFLC below LOD are considered negative, was the most efficient laboratory algorithm. K-index may also have prognostic value in MS.
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