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Personalized activity index, a new safety monitoring tool for multiple sclerosis clinical trials

BACKGROUND: An abnormal increase of contrast-enhancing lesion (CEL) counts on frequent MRIs is interpreted as a signal of potential worsening in multiple sclerosis (MS) clinical trials. We demonstrate the utility of the MR personalized activity index (MR-pax) to identify such increases. METHODS: We...

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Detalles Bibliográficos
Autores principales: Zhao, Yinshan, Kondo, Yumi, Traboulsee, Anthony, Li, David KB, Riddehough, Andrew, Petkau, A John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5433340/
https://www.ncbi.nlm.nih.gov/pubmed/28607690
http://dx.doi.org/10.1177/2055217315577829
Descripción
Sumario:BACKGROUND: An abnormal increase of contrast-enhancing lesion (CEL) counts on frequent MRIs is interpreted as a signal of potential worsening in multiple sclerosis (MS) clinical trials. We demonstrate the utility of the MR personalized activity index (MR-pax) to identify such increases. METHODS: We analyzed a previous Phase II study in relapsing patients (n = 167) with MRIs at screening, baseline and months 1–6. We performed five consecutive reviews at 90-day intervals. At each review, we evaluate the MR-pax for each patient and also identify those who meet the rule-of-five (an ad-hoc guideline currently in use). To evaluate its clinical relevance, we assess the relation between having a small MR-pax (≤0.05; indicating an unexpected CEL increase) and relapse status in the 12 weeks post-review. RESULTS: Of the 399 patient reviews, 35 cases met the rule-of-five; 35 had an MR-pax ≤ 0.05; 18 met both criteria. The proportions experiencing clinical relapse are 63% among those meeting the rule-of-five, 61% among those with MR-pax ≤0.05, and 83% for those meeting both criteria, more than double the rate of those meeting neither criterion (40%). CONCLUSION: A guideline combining this new personalized index and the existing threshold-based criterion is able to better identify patients with a higher risk of experiencing relapses.