Multiple sclerosis functional tests and their comparability with self-administered values: A pilot study

Biomedica : revista del Instituto Nacional de Salud(2023)

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Introduction:Neurological impairment in multiple sclerosis is highly variable among patients and over time it is difficult to quantify. The Multiple Sclerosis Outcome Assessment Consortium established sensitive, cost-effective, clinically significant, and reproducible measures of different functional systems to measure outcomes in clinical trials. However, their use in clinical care routines is not widespread due to time and training constraints. Objective:To evaluate the self-administration feasibility of the timed 25-foot walking, symbol-digit-modality, and 9-peg hole tests in healthy individuals. Materials and methods:We performed a descriptive pilot study. Healthy individuals between 18 and 80 years of age were included. The Timed 25-Foot Walking Test (T25- FWT), the Symbol Digit Modality Test (SDMT), and the Nine-Hole Peg Test (9-HPT) (using the dominant and non-dominant hand) were administered by a trained physician, who also instructed the subjects about test self-administration. The correlation and agreement, between the guided and self-administered tests were assessed with Pearson and Spearman coefficients and the Bland-Altman method. Results:Thirty-eight healthy volunteers were included. The median age was 36 (range: 23-55) years old, and 55.26% were female. The correlation coefficient between guided and selfadministered tests was 0.37 for the T25-FWT (p=0.01), 0.54 for the SDMT (p<0.001), and 0.64 and 0.65 for the 9-HPT, in the dominant and non-dominant hands, respectively (p<0,001). Both forms of administration were concordant for the T25-FWT (95%CI: -1,49 to 1,43), the 9-HPT with dominant hand (95%CI: -5,23 to 4,09), the 9-HPT with non-dominant hand (95%CI: -7,75 to 7,14) and the SDMT (95% CI: -20,94 to 24,10). Conclusions:We provide a proof of concept related to the feasibility of the selfadministration of the T25-FWT, the 9-HPT, and the SDMT, as a tool to improve monitoring in routine clinical practice.
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