Dataset Information

Identifying falls remotely in people with multiple sclerosis.

ABSTRACT:

Background

Falling is common in people with multiple sclerosis (MS) but tends to be under-ascertained and under-treated.

Objective

To evaluate fall risk in people with MS.

Methods

Ninety-four people with MS, able to walk > 2 min with or without an assistive device (Expanded Disability Status Scale (EDSS ≤ 6.5) were recruited. Clinic-based measures were recorded at baseline and 1 year. Patient-reported outcomes (PROs), including a fall survey and the MS Walking Scale (MSWS-12), were completed at baseline, 1.5, 3, 6, 9, and 12 months. Average daily step counts (STEPS) were recorded using a wrist-worn accelerometer.

Results

50/94 participants (53.2%) reported falling at least once. Only 56% of participants who reported a fall on research questionnaires had medical-record documented falls. Fallers had greater disability [median EDSS 5.5 (IQR 4.0-6.0) versus 2.5 (IQR 1.5-4.0), p < 0.001], were more likely to have progressive MS (p = 0.003), and took fewer STEPS (mean difference - 1,979, p = 0.007) than Non-Fallers. Stepwise regression revealed MSWS-12 as a major predictor of future falls.

Conclusions

Falling is common in people with MS, under-reported, and under-ascertained by neurologists in clinic. Multimodal fall screening in clinic and remotely may help improve patient care by identifying those at greatest risk, allowing for timely intervention and referral to specialized physical rehabilitation.

SUBMITTER: Block VJ

PROVIDER: S-EPMC8370664 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

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Publications

Identifying falls remotely in people with multiple sclerosis.

Block Valerie J VJ Pitsch Erica A EA Gopal Arpita A Zhao Chao C Pletcher Mark J MJ Marcus Gregory M GM Olgin Jeffrey E JE Hollenbach Jill J Bove Riley R Cree Bruce A C BAC Gelfand Jeffrey M JM

Journal of neurology 20210817 4

<h4>Background</h4>Falling is common in people with multiple sclerosis (MS) but tends to be under-ascertained and under-treated.<h4>Objective</h4>To evaluate fall risk in people with MS.<h4>Methods</h4>Ninety-four people with MS, able to walk > 2 min with or without an assistive device (Expanded Disability Status Scale (EDSS ≤ 6.5) were recruited. Clinic-based measures were recorded at baseline and 1 year. Patient-reported outcomes (PROs), including a fall survey and the MS Walking Scale (MSWS-1 ...[more]

PMID: 34405267

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Dataset Information

Identifying falls remotely in people with multiple sclerosis.

Background

Objective

Methods

Results

Conclusions

Publications

Identifying falls remotely in people with multiple sclerosis.

Similar Datasets

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