Literature DB >> 33777910

Balance Impairments as Differential Markers of Dementia Disease Subtype.

Ríona Mc Ardle1,2, Stephanie Pratt1, Christopher Buckley3, Silvia Del Din1, Brook Galna4, Alan Thomas1, Lynn Rochester1,5, Lisa Alcock1.   

Abstract

BACKGROUND: Accurately differentiating dementia subtypes, such as Alzheimer's disease (AD) and Lewy body disease [including dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD)] is important to ensure appropriate management and treatment of the disease. Similarities in clinical presentation create difficulties for differential diagnosis. Simple supportive markers, such as balance assessments, may be useful to the diagnostic toolkit. This study aimed to identify differences in balance impairments between different dementia disease subtypes and normal aging using a single triaxial accelerometer.
METHODS: Ninety-seven participants were recruited, forming four groups: cognitive impairment due to Alzheimer's disease (AD group; n = 31), dementia with Lewy bodies (DLB group; n = 26), Parkinson's disease dementia (PDD group; n = 13), and normal aging controls (n = 27). Participants were asked to stand still for 2 minutes in a standardized position with their eyes open while wearing a single triaxial accelerometer on their lower back. Seven balance characteristics were derived, including jerk (combined, mediolateral, and anterior-posterior), root mean square (RMS; combined, mediolateral, and anterior-posterior), and ellipsis. Mann-Whitney U tests identified the balance differences between groups. Receiver operating characteristics and area under the curve (AUC) determined the overall accuracy of the selected balance characteristics.
RESULTS: The PDD group demonstrated higher RMS [combined (p = 0.001), mediolateral (p = 0.005), and anterior-posterior (p = 0.001)] and ellipsis scores (p < 0.002) than the AD group (AUC = 0.71-0.82). The PDD group also demonstrated significantly impaired balance across all characteristics (p ≤ 0.001) compared to the controls (AUC = 0.79-0.83). Balance differences were not significant between PDD and DLB (AUC = 0.69-0.74), DLB and AD (AUC = 0.50-0.65), DLB and controls (AUC = 0.62-0.68), or AD and controls (AUC = 0.55-0.67) following Bonferroni correction. DISCUSSION: Although feasible and quick to conduct, key findings suggest that an accelerometer-based balance during quiet standing does not differentiate dementia disease subtypes accurately. Assessments that challenge balance more, such as gait or standing with eyes closed, may prove more effective to support differential diagnosis.
Copyright © 2021 Mc Ardle, Pratt, Buckley, Del Din, Galna, Thomas, Rochester and Alcock.

Entities:  

Keywords:  Alzheimer’s disease; Lewy body disease; Parkinson’s disease; accelerometer; balance; dementia; postural control

Year:  2021        PMID: 33777910      PMCID: PMC7991998          DOI: 10.3389/fbioe.2021.639337

Source DB:  PubMed          Journal:  Front Bioeng Biotechnol        ISSN: 2296-4185


  44 in total

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2.  Balance and mobility dysfunction and falls risk in older people with mild to moderate Alzheimer disease.

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Review 4.  The relevance of clinical balance assessment tools to differentiate balance deficits.

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5.  Vision, visuo-cognition and postural control in Parkinson's disease: An associative pilot study.

Authors:  E Hill; S Stuart; S Lord; S Del Din; L Rochester
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Journal:  Dementia (London)       Date:  2015-03-03

7.  The Activities-specific Balance Confidence (ABC) Scale.

Authors:  L E Powell; A M Myers
Journal:  J Gerontol A Biol Sci Med Sci       Date:  1995-01       Impact factor: 6.053

8.  Gait parameters and characteristics associated with increased risk of falls in people with dementia: a systematic review.

Authors:  Shirin Modarresi; Alison Divine; Jessica A Grahn; Tom J Overend; Susan W Hunter
Journal:  Int Psychogeriatr       Date:  2018-12-06       Impact factor: 3.878

9.  The Interaction Between Mild Cognitive Impairment with Vestibulo-ocular Reflex, Dynamic Visual Acuity and Postural Balance in Older Adults.

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Journal:  Exp Gerontol       Date:  2019-11-30       Impact factor: 4.032

Review 10.  The Role of Movement Analysis in Diagnosing and Monitoring Neurodegenerative Conditions: Insights from Gait and Postural Control.

Authors:  Christopher Buckley; Lisa Alcock; Ríona McArdle; Rana Zia Ur Rehman; Silvia Del Din; Claudia Mazzà; Alison J Yarnall; Lynn Rochester
Journal:  Brain Sci       Date:  2019-02-06
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Journal:  Int J Environ Res Public Health       Date:  2022-09-03       Impact factor: 4.614

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