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Título

KAPPA INDEX AND OLIGOCLONAL BANDS DETECTION IN CEREBROSPINAL FLUID SAMPLES OF PATIENTS WITH SUSPECTED MULTIPLE SCLEROSIS (MS)

Resumo


Introduction: The evaluation of the intrathecal production of IgG can be useful in the evaluation of MS suspected cases. The most important test to verify the existence of intrathecal IgG production is the detection of oligoclonal bands (OCBs) in cerebrospinal fluid (CSF) and serum. Recent studies have reported that measuring CSF IgG free light chains (FLC), especially the Kappa Index, is comparable with OCBs as markers of IgG synthesis. It is still unknown if diagnostic sensitivity be increased by performing these two methods in parallel.

Objective: The aim of this study was to evaluate the results of the Kappa index and the oligoclonal bands (BOCs) in samples from patients with suspected multiple sclerosis (MS).
Method: Patients with suspected MS underwent cerebrospinal fluid (CSF) analysis. Intrathecal synthesis of IgG was evaluated with BOCs, IgG index, Reiber nomogram, and kappa index.

Results: One hundred and fifty-three serum and CSF samples were included, 70 of them had positive CSF BOC. Among the BOC+ cases, 44 (77.14%) were also positive with the Reiber nomogram, 48 (68.5%) were also positive with the IgG index, and 68 (97.1%) were also positive with the kappa index. Among the patients without BOCs, 5 (6.02%) cases had a positive Reiber, six had a positive IgG index, and seven (8.4%) had a positive kappa index.

Conclusion: The Kappa index was the method with the highest association with BOCs, confirming that this method is at least as sensitive as the detection of BOCs. Positive kappa results found among cases without BOCs may be false positives but may also indicate false negative results with BOC. Therefore, it is possible that kappa index can help to diagnose cases of MS without detection of BOCs.

Palavras Chave

Ig kappa chains; MS (multiple sclerosis); Cerebrospinal Fluid; Oligoclonal band

Área

Líquido cefalorraquiano

Autores

Renan Barros Domingues, Fernando Brunale, Márcio Vega, Carlos Giafferi, Daiane Salomão, Sabrina Bonfante, Carlos Senne