South Shore Neurologic Associates

Author Of 1 Presentation

Invited Presentations Invited Abstracts

NS01.03 - Clinical Implications for an Aging MS Population

Speakers
Authors
Presentation Number
NS01.03
Presentation Topic
Invited Presentations
Lecture Time
11:50 - 12:15

Abstract

Abstract

Approximately a quarter of people with MS are mature adults over 65 years old and this number is rising as Baby Boomers age. Older persons with MS have different care needs than their younger counterparts. They must adjust to the normal age-related changes as they age and at the same time manage and adapt to increasing disability related to MS. Health care providers must know differences between normal aging and progression of MS and understand the changing health care needs of the older person with MS. This presentation will focus on clinical implications in caring for older persons with MS.

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Presenter Of 1 Presentation

Invited Presentations Invited Abstracts

NS01.03 - Clinical Implications for an Aging MS Population

Speakers
Authors
Presentation Number
NS01.03
Presentation Topic
Invited Presentations
Lecture Time
11:50 - 12:15

Abstract

Abstract

Approximately a quarter of people with MS are mature adults over 65 years old and this number is rising as Baby Boomers age. Older persons with MS have different care needs than their younger counterparts. They must adjust to the normal age-related changes as they age and at the same time manage and adapt to increasing disability related to MS. Health care providers must know differences between normal aging and progression of MS and understand the changing health care needs of the older person with MS. This presentation will focus on clinical implications in caring for older persons with MS.

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Invited Speaker Of 1 Presentation

Invited Presentations Invited Abstracts

NS01.03 - Clinical Implications for an Aging MS Population

Speakers
Authors
Presentation Number
NS01.03
Presentation Topic
Invited Presentations
Lecture Time
11:50 - 12:15

Abstract

Abstract

Approximately a quarter of people with MS are mature adults over 65 years old and this number is rising as Baby Boomers age. Older persons with MS have different care needs than their younger counterparts. They must adjust to the normal age-related changes as they age and at the same time manage and adapt to increasing disability related to MS. Health care providers must know differences between normal aging and progression of MS and understand the changing health care needs of the older person with MS. This presentation will focus on clinical implications in caring for older persons with MS.

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Author Of 2 Presentations

Biosensors Poster Presentation

P0019 - A Comparison of Digital Gait Technologies in a Population of People with MS –When the Same Isn’t Always Exactly the Same (ID 1944)

Speakers
Presentation Number
P0019
Presentation Topic
Biosensors

Abstract

Background

Multiple Sclerosis (MS), a disease characterized both by relapses and progression, commonly impacts ambulation. Impaired ambulation results in loss of independence. Current approaches to document disease impact/progression on ambulation including EDSS/T25FW are insufficiently sensitive to quantify subtle but critical change. Patient Reported Outcomes (PRO) for gait relate to several critical elements of the gait cycle beyond velocity. Earlier recognition of critical change might improve disease modifying therapy choice and timing of change. Objective multi-dimensional analytics have included digital devices of varying types utilizing different technologies (e.g. foot pressure, accelerometer, 3D video capture). Comparing different technologies in people with MS (PwMS) along a spectrum of disability would be important to optimal technology choice. Simultaneous comparisons of similar outcome measures of gait components would enhance technology choice.

Objectives

To compare and contrast quantified outcome measures of the gait cycle as measured by the use of three different validated and digital ambulatory devices.

Methods

PwMS performed one pass (20 feet) while ambulating at a preferred walking speed along the Zeno™ walkway (ZW, ProtoKinetics), while wearing Opal sensors (OS, APDM), and captured using VSTBalance (VB, VirtuSense) simultaneously. Relevant gait parameters (GP) captured: velocity, stride length, total double support, and cadence. Univariate regression modeling and T-tests were used for statistical analysis for each GP.

Results

9 PwMS (69% female, average age =53.1±11.8 years). Regression modeling showed the following relationships: velocity: ZWvsVB (r2 =0.93, p=1.2E-25), ZWvsOS (r2 =0.99, p=6.9E-40), VBvsOS (r2 =0.96, p=1.8E-25) Stride Length: ZWvsVB (r2 =0.32, p=7.8E-25), ZWvsOS (r2 =0.9, p=1.02E-16), VBvsOS (r2 =0.30, p=1.3E-4). Total double support %: ZWvsVB (r2 =0.22, p=1.6E-3), ZWvsOS (r2 =0.87, p=3.2E-20), VBvsOS (r2 =0.27, p=3.9E-4). Cadence: ZWvsVB (r2 =0.18, p=5.3E-3), ZWvsOS (r2 =0.92, p=1.2E-23), VBvsOS (r2 =0.19, p=4.2E-3). T-tests showed the following relationships: velocity: ZWvsVB (p=0.47), ZWvsOS (p=0.21), VBvsOS (p=0.63). Stride Length: ZWvsVB (p=7.25E-6), ZWvsOS (p=0.08), VBvsOS (p=0.001). Total Double Support %: ZWvsVB (p=0.91), ZWvsOS (p=0.01), VBvsOS (p=0.02). Cadence: ZWvsVB (p=5.6E-5), ZWvsOS (p=0.92), VBvsOS (p=6.3E-5).

Conclusions

Gait velocity had the strongest concordant relationship between all three technologies. Despite this concordance, there was still ~10% variability of this important measure. Other elements of the gait cycle had sub-optimal cross-device relationships. There was considerable discordance with stride length and cadence (ZWvsVB and OSvsVB), and double support (ZWvsOS and VBvsOS). Inconsistent relationships demonstrate the need to carefully select digital gait outcome measurement devices for PwMS.

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Clinical Outcome Measures Poster Presentation

P0116 - Multiple Sclerosis and Cognitive Impairment: Computerized Cognitive Assessment and PROMIS-Cognitive Function Questionnaire: An Unfulfilled Promis (ID 1873)

Speakers
Presentation Number
P0116
Presentation Topic
Clinical Outcome Measures

Abstract

Background

Cognitive impairment (CI) is common in people with Multiple Sclerosis (PwMS) but often not addressed in routine care. Disease burden/progression in PwMS is traditionally measured by reported relapse, EDSS, and MRI change. CI is a source of significant disability independent of findings on examination. Use of a validated multi-domain screening cognitive assessment battery (NeuroTrax, CAB-NT) provides quantitative patient centric information to track CI longitudinally. Patient self-reported outcome measures (PRO) are also often used to gauge disability progression. PROMIS–Cognitive Function Short Form (CF-SF) is a validated disease agnostic PRO that can be incorporated to evaluate patient perception of disease impact. The relationship of the PROMIS PRO to a multi-domain quantitative cognitive assessment tool has not been explored in PwMS.

Objectives

To examine the cross-sectional relationship between PRO PROMIS-Cognitive Function (CF-SF) scores and CAB-NT scores.

Methods

Retrospective review of consecutive PwMS who completed both the CAB-NT and PROMIS-CF-SF in the course of routine care on the same day. CAB-NT included 7 cognitive domains: memory (Mem), executive function (Exe), attention (Att), information processing speed (Inf), visual spatial (Vis), verbal function (Ver), motor skills (Mot) as well as a global cognitive summary score (GCS). Cognitive domains impaired (CDI, domain score’s <85) are also calculated.

Results

147 PwMS, average age 49+/- 12, 70% female. Significant relationships (p<0.05) were identified through regression analysis with Pearson’s correlation coefficient (r) only for the following Cognitive Domain scores: GCS (r=0.27), Mem (r=0.23), Exe (r=0.27), Att (r=0.27), Inf (r=0.42), and Mot (r=0.27), CDI (r=0.4).

Conclusions

The PROMIS-Cognitive Function Short Form PRO does not provide a meaningful alternative to objective measures of CI in PwMS. Computerized Multi-domain Cognitive Testing provides an accurate tool to evaluate the degree of cognitive impairment across multiple relevant cognitive domains as well as the combination of domain impairment and accumulative cognitive impairment. The promise of the PROMIS-Cognitive Function Short Form to provide an effective PRO to evaluate cognitive impairment in PwMS has not been fulfilled.

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