Clinical validation of a multi-protein, serum-based assay for disease activity assessments in multiple sclerosis

An 18-protein multiple sclerosis (MS) disease activity (DA) test was validated based on associations between algorithm scores and clinical/radiographic assessments (N = 614 serum samples; Train [n = 426; algorithm development] and Test [n = 188; evaluation] subsets). The multi-protein model was trai...

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Veröffentlicht in:Clinical immunology (Orlando, Fla.) Fla.), 2023-08, Vol.253, p.109688-109688, Article 109688
Hauptverfasser: Chitnis, Tanuja, Foley, John, Ionete, Carolina, El Ayoubi, Nabil K., Saxena, Shrishti, Gaitan-Walsh, Patricia, Lokhande, Hrishikesh, Paul, Anu, Saleh, Fermisk, Weiner, Howard, Qureshi, Ferhan, Becich, Michael J., da Costa, Fatima Rubio, Gehman, Victor M., Zhang, Fujun, Keshavan, Anisha, Jalaleddini, Kian, Ghoreyshi, Ati, Khoury, Samia J.
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Sprache:eng
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Zusammenfassung:An 18-protein multiple sclerosis (MS) disease activity (DA) test was validated based on associations between algorithm scores and clinical/radiographic assessments (N = 614 serum samples; Train [n = 426; algorithm development] and Test [n = 188; evaluation] subsets). The multi-protein model was trained based on presence/absence of gadolinium-positive (Gd+) lesions and was also strongly associated with new/enlarging T2 lesions, and active versus stable disease (composite of radiographic and clinical evidence of DA) with improved performance (p 
ISSN:1521-6616
1521-7035
DOI:10.1016/j.clim.2023.109688