2019
DOI: 10.1016/s1773-035x(19)30332-6
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Performances comparatives des tests immunologiques du liquide céphalo-rachidien dans le diagnostic de la sclérose en plaques

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Cited by 1 publication
(2 citation statements)
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“…These values are within the correspondent range of values reported for this parameter in different populations 25 , 39 41 , 66 , 67 . Interestingly, both sensitivity and specificity of the κFLC index were higher than OCB detection (using the Isofocusing test) for MS diagnosis in our same Tunisian population (77.6% and 81.8%, respectively as mentioned in our previous published study) 68 . By focusing on our MS group, there were 6 cases of OCB-positive patients with a high κ index (> 14.9)/normal IgG index and no MS cases with the inverse profile.…”
Section: Discussionsupporting
confidence: 60%
See 1 more Smart Citation
“…These values are within the correspondent range of values reported for this parameter in different populations 25 , 39 41 , 66 , 67 . Interestingly, both sensitivity and specificity of the κFLC index were higher than OCB detection (using the Isofocusing test) for MS diagnosis in our same Tunisian population (77.6% and 81.8%, respectively as mentioned in our previous published study) 68 . By focusing on our MS group, there were 6 cases of OCB-positive patients with a high κ index (> 14.9)/normal IgG index and no MS cases with the inverse profile.…”
Section: Discussionsupporting
confidence: 60%
“…Finally, we aimed to optimize the algorithm of routine CSF investigation for MS diagnosis and prognosis by adding the new effective, simple, available, and standardizable laboratory parameters. Based on our previous 68 , 69 and present findings and the above literature data, we suggest that: Initial measurement of automatized κ-FLC in CSF allows obviating OCB testing in case of undetectable levels in patients with suspicion of MS unless there is strong clinical suspicion. Complete Calculation of IgG index, κ-index values, and evaluation of FLC-κ Reibergram (κFLC IF) as the next automatized, relatively simple, rapid, and standardizable step of effective screening for IS detection and therefore, MS diagnosis to obtain the highest sensitivity and accuracy.…”
Section: Discussionsupporting
confidence: 51%