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Journal Article

Citation

Quinn G, Comber L, McGuigan C, Hannigan A, Galvin R, Coote S. Clin. Rehabil. 2020; ePub(ePub): ePub.

Copyright

(Copyright © 2020, SAGE Publishing)

DOI

10.1177/0269215520973197

PMID

33322921

Abstract

OBJECTIVE: To identify risk factors for falling for people with Multiple Sclerosis.

DESIGN: Prospective cohort study.

SETTING: Neurology service in a tertiary hospital.

SUBJECTS: Participants were 101 people with Multiple Sclerosis and Expanded Disability Status Score of 3-6.5. One participant withdrew after the baseline assessment; data were analysed for 100 participants.

INTERVENTIONS: No intervention.

MAIN MEASURES: Outcome was rate of falls, and predictors were Timed Up and Go, Symbol Digit Modalities test, demographics and 15 self-report questions about various symptoms including fatigue, concentration, dual tasking, bladder and bowel control. Three-month prospective diaries recorded falls.

RESULTS: There were 791 falls reported over the 3-month period from a total of 56 fallers. Falls rate per person-year was 32.08 falls. Following multivariable regression analysis, the model with the greatest levels of clinical utility and discriminative ability (sensitivity 88% and area under the receiving operating curve statistic = 0.72, 95% CI 0.62-0.82), included the variables of history of a fall, not having visual problems, problems with bladder control and a slower speed on the Timed Up and Go.

CONCLUSION: This study confirms the high incidence of falls for people with Multiple Sclerosis and provides a risk prediction model including fall history, problems with bladder control, not having visual problems and a slower Timed Up and Go speed that may be used to identify those at greater risk and in need of tailored falls prevention intervention.


Language: en

Keywords

accidental falls; risk assessment; Multiple Sclerosis

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