Cargando…
Assessment of Multiple Sclerosis Disability Progression Using a Wearable Biosensor: A Pilot Study
Background: The evaluation of walking activity of people with multiple sclerosis (pwMS) is desirable. We evaluate the power of the correlation of motor parameters detected by the accelerometer in the Samsung Gear S2 smartwatch with multiple sclerosis (MS) disability measures and patient reported out...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001885/ https://www.ncbi.nlm.nih.gov/pubmed/33802029 http://dx.doi.org/10.3390/jcm10061160 |
_version_ | 1783671334389153792 |
---|---|
author | Abbadessa, Gianmarco Lavorgna, Luigi Miele, Giuseppina Mignone, Alfredo Signoriello, Elisabetta Lus, Giacomo Clerico, Marinella Sparaco, Maddalena Bonavita, Simona |
author_facet | Abbadessa, Gianmarco Lavorgna, Luigi Miele, Giuseppina Mignone, Alfredo Signoriello, Elisabetta Lus, Giacomo Clerico, Marinella Sparaco, Maddalena Bonavita, Simona |
author_sort | Abbadessa, Gianmarco |
collection | PubMed |
description | Background: The evaluation of walking activity of people with multiple sclerosis (pwMS) is desirable. We evaluate the power of the correlation of motor parameters detected by the accelerometer in the Samsung Gear S2 smartwatch with multiple sclerosis (MS) disability measures and patient reported outcomes (PROs). Methods: We enrolled 25 relapsing remitting MS patients. We assessed disability with the expanded disability status scale, two-minute walking test (2MWT), timed 25-foot walk test (T25FWT), and nine-hole peg test. We collected PROs measuring fatigue, ambulatory ability, depression, quality of life, and bladder/bowel function. Participants were asked to wear the accelerometer for a period of 30 days. Results: The Spearman’s rank correlation coefficient showed a moderate negative correlation between the patient-determined disease steps (PDDS) score with the mean steps/day, a strong negative correlation between the PDDS score with the maximum number of daily steps (MNDS) and a moderate negative correlation between the fatigue severity scale score and MNDS. A moderate negative correlation between MNDS and the 2MWT and a moderate negative correlation between MNDS and the T25FW was found. Conclusion: Our results suggest that motor parameters derived from the accelerometer could be a reliable measure of motor disability in pwMS. |
format | Online Article Text |
id | pubmed-8001885 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80018852021-03-28 Assessment of Multiple Sclerosis Disability Progression Using a Wearable Biosensor: A Pilot Study Abbadessa, Gianmarco Lavorgna, Luigi Miele, Giuseppina Mignone, Alfredo Signoriello, Elisabetta Lus, Giacomo Clerico, Marinella Sparaco, Maddalena Bonavita, Simona J Clin Med Article Background: The evaluation of walking activity of people with multiple sclerosis (pwMS) is desirable. We evaluate the power of the correlation of motor parameters detected by the accelerometer in the Samsung Gear S2 smartwatch with multiple sclerosis (MS) disability measures and patient reported outcomes (PROs). Methods: We enrolled 25 relapsing remitting MS patients. We assessed disability with the expanded disability status scale, two-minute walking test (2MWT), timed 25-foot walk test (T25FWT), and nine-hole peg test. We collected PROs measuring fatigue, ambulatory ability, depression, quality of life, and bladder/bowel function. Participants were asked to wear the accelerometer for a period of 30 days. Results: The Spearman’s rank correlation coefficient showed a moderate negative correlation between the patient-determined disease steps (PDDS) score with the mean steps/day, a strong negative correlation between the PDDS score with the maximum number of daily steps (MNDS) and a moderate negative correlation between the fatigue severity scale score and MNDS. A moderate negative correlation between MNDS and the 2MWT and a moderate negative correlation between MNDS and the T25FW was found. Conclusion: Our results suggest that motor parameters derived from the accelerometer could be a reliable measure of motor disability in pwMS. MDPI 2021-03-10 /pmc/articles/PMC8001885/ /pubmed/33802029 http://dx.doi.org/10.3390/jcm10061160 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Abbadessa, Gianmarco Lavorgna, Luigi Miele, Giuseppina Mignone, Alfredo Signoriello, Elisabetta Lus, Giacomo Clerico, Marinella Sparaco, Maddalena Bonavita, Simona Assessment of Multiple Sclerosis Disability Progression Using a Wearable Biosensor: A Pilot Study |
title | Assessment of Multiple Sclerosis Disability Progression Using a Wearable Biosensor: A Pilot Study |
title_full | Assessment of Multiple Sclerosis Disability Progression Using a Wearable Biosensor: A Pilot Study |
title_fullStr | Assessment of Multiple Sclerosis Disability Progression Using a Wearable Biosensor: A Pilot Study |
title_full_unstemmed | Assessment of Multiple Sclerosis Disability Progression Using a Wearable Biosensor: A Pilot Study |
title_short | Assessment of Multiple Sclerosis Disability Progression Using a Wearable Biosensor: A Pilot Study |
title_sort | assessment of multiple sclerosis disability progression using a wearable biosensor: a pilot study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001885/ https://www.ncbi.nlm.nih.gov/pubmed/33802029 http://dx.doi.org/10.3390/jcm10061160 |
work_keys_str_mv | AT abbadessagianmarco assessmentofmultiplesclerosisdisabilityprogressionusingawearablebiosensorapilotstudy AT lavorgnaluigi assessmentofmultiplesclerosisdisabilityprogressionusingawearablebiosensorapilotstudy AT mielegiuseppina assessmentofmultiplesclerosisdisabilityprogressionusingawearablebiosensorapilotstudy AT mignonealfredo assessmentofmultiplesclerosisdisabilityprogressionusingawearablebiosensorapilotstudy AT signorielloelisabetta assessmentofmultiplesclerosisdisabilityprogressionusingawearablebiosensorapilotstudy AT lusgiacomo assessmentofmultiplesclerosisdisabilityprogressionusingawearablebiosensorapilotstudy AT clericomarinella assessmentofmultiplesclerosisdisabilityprogressionusingawearablebiosensorapilotstudy AT sparacomaddalena assessmentofmultiplesclerosisdisabilityprogressionusingawearablebiosensorapilotstudy AT bonavitasimona assessmentofmultiplesclerosisdisabilityprogressionusingawearablebiosensorapilotstudy |