Contributions
Abstract: P374
Type: Poster
Abstract Category: Clinical aspects of MS - 8 Clinical assessment tools
Background: Accurately assessing and predicting disability in people with multiple sclerosis (pwMS) is challenging for clinicians. The Expanded Timed Get Up and Go (ETGUG) is an adaptation of a timed up and go performance test that has been used to predict fall risk in a geriatric population.
Objective: Our objective was to evaluate the utility of the ETGUG in predicting disability among a large sample of pwMS in New York State, particularly compared to other assessment measures.
Methods: Participants (n=355) were part of the New York State Multiple Sclerosis Consortium (NYSMSC); a 20-year longitudinal registry. The ETGUG, Timed 25-foot walk (T25FW) and Expanded Disability Status Scale (EDSS) were compared using Spearman's Rank correlations. Receiver operative characteristic (ROC) analyses with 80% specificity were carried out to determine the ETGUG and T25FW cutoff score and associated sensitivity predicting an EDSS score of ≥4.0.
Results: Of the 355 subjects, 121 (34.1%) had an EDSS score of 4.0 or higher. Both ETGUG and T25FW were highly correlated with EDSS (r=0.730 and r=0.729, respectively, p-value< 0.001). Correlations with EDSS were stronger for both ETGUG and T25FW among subjects with an EDSS score≥4.0 than among pwMS with EDSS scores of < 4.0 (ETGUG: r=.728, T25FW: r=.682 in the more disabled group, versus ETGUG: r=.433, T25FW: r=.447, respectively). At the predetermined specificity, an ETGUG score of ≥23.5 seconds had a 91.7% sensitivity of identifying subjects with an EDSS of ≥4.0, while completing the T25FW in ≥6.4 seconds had a lower sensitivity at 82.7%.
Conclusion: The ETGUG is a more sensitive predictor of disability than the T25FW in this sample. Prospectively captured data is required to determine the sensitivity of the ETGUG to longitudinal change and its usefulness in predicting disability progression and risk of falling especially in the patients with higher disability.
Disclosure:
Katelyn S Kavak has nothing to disclose.
Caila B Vaughn has nothing to disclose.
Dejan Jakimovski has nothing to disclose.
Sherif Shalaby has nothing to disclose.
Muhammad Nadeem has nothing to disclose.
Susan Bennett has participanted in speakers´ bureaus for Acorda Therapeutics.
Bianca Weinstock-Guttman has received honoraria as a speaker and as a consultant for Biogen Idec, Teva Pharmaceuticals, EMD Serono, Genzyme, Sanofi, Novartis and Acorda Therapeutics. Dr. Weinstock-Guttman has received research funds from Biogen Idec, Teva Pharmaceuticals, EMD Serono, Genzyme, Sanofi, Novartis and Acorda Therapeutics.
Abstract: P374
Type: Poster
Abstract Category: Clinical aspects of MS - 8 Clinical assessment tools
Background: Accurately assessing and predicting disability in people with multiple sclerosis (pwMS) is challenging for clinicians. The Expanded Timed Get Up and Go (ETGUG) is an adaptation of a timed up and go performance test that has been used to predict fall risk in a geriatric population.
Objective: Our objective was to evaluate the utility of the ETGUG in predicting disability among a large sample of pwMS in New York State, particularly compared to other assessment measures.
Methods: Participants (n=355) were part of the New York State Multiple Sclerosis Consortium (NYSMSC); a 20-year longitudinal registry. The ETGUG, Timed 25-foot walk (T25FW) and Expanded Disability Status Scale (EDSS) were compared using Spearman's Rank correlations. Receiver operative characteristic (ROC) analyses with 80% specificity were carried out to determine the ETGUG and T25FW cutoff score and associated sensitivity predicting an EDSS score of ≥4.0.
Results: Of the 355 subjects, 121 (34.1%) had an EDSS score of 4.0 or higher. Both ETGUG and T25FW were highly correlated with EDSS (r=0.730 and r=0.729, respectively, p-value< 0.001). Correlations with EDSS were stronger for both ETGUG and T25FW among subjects with an EDSS score≥4.0 than among pwMS with EDSS scores of < 4.0 (ETGUG: r=.728, T25FW: r=.682 in the more disabled group, versus ETGUG: r=.433, T25FW: r=.447, respectively). At the predetermined specificity, an ETGUG score of ≥23.5 seconds had a 91.7% sensitivity of identifying subjects with an EDSS of ≥4.0, while completing the T25FW in ≥6.4 seconds had a lower sensitivity at 82.7%.
Conclusion: The ETGUG is a more sensitive predictor of disability than the T25FW in this sample. Prospectively captured data is required to determine the sensitivity of the ETGUG to longitudinal change and its usefulness in predicting disability progression and risk of falling especially in the patients with higher disability.
Disclosure:
Katelyn S Kavak has nothing to disclose.
Caila B Vaughn has nothing to disclose.
Dejan Jakimovski has nothing to disclose.
Sherif Shalaby has nothing to disclose.
Muhammad Nadeem has nothing to disclose.
Susan Bennett has participanted in speakers´ bureaus for Acorda Therapeutics.
Bianca Weinstock-Guttman has received honoraria as a speaker and as a consultant for Biogen Idec, Teva Pharmaceuticals, EMD Serono, Genzyme, Sanofi, Novartis and Acorda Therapeutics. Dr. Weinstock-Guttman has received research funds from Biogen Idec, Teva Pharmaceuticals, EMD Serono, Genzyme, Sanofi, Novartis and Acorda Therapeutics.