scholarly journals Quantitative sensory and motor measures detect change over time and correlate with walking speed in individuals with multiple sclerosis

2015 ◽  
Vol 4 (1) ◽  
pp. 67-74 ◽  
Author(s):  
Kathleen M. Zackowski ◽  
Joseph I. Wang ◽  
John McGready ◽  
Peter A. Calabresi ◽  
Scott D. Newsome
Keyword(s):  
Multiple Sclerosis ◽  
Walking Speed ◽  
Change Over Time ◽  
Over Time

scholarly journals Determining the Presence of Reliable Change over Time in Multiple Sclerosis

2013 ◽  
Vol 15 (4) ◽  
pp. 170-178 ◽  
Author(s):  
Suzanne L. Barker-Collo ◽  
Suzanne C. Purdy
Keyword(s):  
Multiple Sclerosis ◽  
Reliable Change Index ◽  
Test Results ◽  
Reliable Change ◽  
Change Over Time ◽  
Method Of Calculation ◽  
Serial Addition ◽  
Number Of Individuals ◽  
Over Time

People with multiple sclerosis (MS) often undergo repeated assessments. Methods for determining whether an individual's change in test results over time is reliable require further study. A sample of individuals with MS (N = 52) was assessed at baseline and at 6-month follow-up using the Paced Auditory Serial Addition Test (PASAT), Simple Adjusting–Paced Serial Addition Test (A-PSAT), and Victoria Stroop test. Two methods for determining the reliability of an individual's change over time were examined. The Reliable Change Index (RCI) identified few individuals who declined reliably between baseline and 6-month follow-up. The standard deviation (SD) method of calculation resulted in reliable declines for a small number of individuals on most measures. Use of the SD method resulted in a larger number of individuals who improved reliably. Responsiveness of individuals to treatment effects can be lost in group analyses. The data presented here provide clinicians with an approach for determining whether an individual's change over time on commonly used neuropsychological tests reflects reliable improvement or decline.

Physical dimension of fatigue correlated with disability change over time in patients with multiple sclerosis

2008 ◽  
Vol 255 (5) ◽  
pp. 633-636 ◽  
Author(s):  
M. Debouverie ◽  
S. Pittion-Vouyovitch ◽  
H. Brissart ◽  
F. Guillemin
Keyword(s):  
Multiple Sclerosis ◽  
Change Over Time ◽  
Over Time

scholarly journals Movement measurements at home for multiple sclerosis: walking speed measured by a novel ambient measurement system

2018 ◽  
Vol 4 (1) ◽  
pp. 205521731775346 ◽  
Author(s):  
Victoria MJ Smith ◽  
Jonathan S Varsanik ◽  
Rachel A Walker ◽  
Andrew W Russo ◽  
Kevin R Patel ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Measurement System ◽  
Coefficient Of Variation ◽  
Strong Correlation ◽  
Walking Speed ◽  
Major Contributor ◽  
Movement Data ◽  
Infrared Technology ◽  
Over Time ◽  
At Home

Background Gait disturbance is a major contributor to clinical disability in multiple sclerosis (MS). A sensor was developed to assess walking speed at home for people with MS using infrared technology in real-time without the use of wearables. Objective To develop continuous in-home outcome measures to assess gait in adults with MS. Methods Movement measurements were collected continuously for 8 months from six people with MS. Average walking speed and peak walking speed were calculated from movement data, then analyzed for variability over time, by room (location), and over the course of the day. In-home continuous gait outcomes and variability were correlated with standard in-clinic gait outcomes. Results Measured in-home average walking speed of participants ranged from 0.33 m/s to 0.96 m/s and peak walking speed ranged from 0.89 m/s to 1.51 m/s. Mean total within-participant coefficient of variation for daily average walking speed and peak walking speed were 10.75% and 10.93%, respectively. Average walking speed demonstrated a moderately strong correlation with baseline Timed 25-Foot Walk (rs = 0.714, P = 0.111). Conclusion New non-wearable technology provides reliable and continuous in-home assessment of walking speed.

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