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The value of patient selection in demonstrating treatment effect in stroke recovery trials: lessons from the CHIMES study of MLC601 (NeuroAiD)
Author(s) -
Venketasubramanian Narayanaswamy,
Lee Chun Fan,
Wong K. S. Lawrence,
Chen Christopher L. H.
Publication year - 2015
Publication title -
journal of evidence‐based medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.885
H-Index - 22
ISSN - 1756-5391
DOI - 10.1111/jebm.12170
Subject(s) - selection (genetic algorithm) , value (mathematics) , stroke (engine) , medicine , psychology , statistics , medical physics , physical medicine and rehabilitation , computer science , mathematics , artificial intelligence , physics , thermodynamics
Objective The CHIMES Study compared MLC601 to placebo in patients with ischemic stroke of intermediate severity in the preceding 72 hours. We aimed to verify if patient selection based on two prognostic factors (ie, stroke severity and time to treatment) improves detection of a treatment effect with MLC601. Methods Analyses were performed using data from the CHIMES Study, an international, randomized, placebo‐controlled, double‐blind trial comparing MLC601 to placebo in patients with ischemic stroke of intermediate severity in the preceding 72 hours. Three subgroups, that is, onset to treatment time (OTT) ≥48 hours; baseline National Institute of Health Stroke Scale (NIHSS) ≥10; both OTT ≥48 hours and baseline NIHSS ≥10, were analyzed using modified Rankin Scale (mRS) ≤1 and a composite endpoint of mRS ≤1, Barthel Index ≥95, and NIHSS ≤1 at month 3. Results Placebo response rates were lower (ie, worse natural outcome) among subgroups with prognostic factors. Conversely, MLC601 treatment effects were significantly higher in the subgroups with prognostic factors than for the entire cohort, being highest among patients with both OTT ≥48 hours and baseline NIHSS of 10 to 14: odds ratios of 2.18 (95% CI 1.02 to 4.65) for month 3 mRS ≤1 and 3.88 (95% CI 1.03 to 14.71) for the composite endpoint. Conclusions : Patients who have moderately severe strokes and longer OTT demonstrate better treatment effects with MLC601. These factors can guide patient selection in future trials.

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