Cargando…

Sensor based assessment of turning during instrumented Timed Up and Go Test for quantifying mobility in chronic stroke patients

BACKGROUND: Turning may be particularly challenging for stroke patients leading to decreased mobility and increased functional restriction. Timed up and go instrumentation using a simple technology in the clinical context could allow for the collection of both traditional and potentially more discri...

Descripción completa

Detalles Bibliográficos
Autores principales: SPINA, Stefania, FACCIORUSSO, Salvatore, D’ASCANIO, Milena C., MORONE, Giovanni, BARICICH, Alessio, FIORE, Pietro, SANTAMATO, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Edizioni Minerva Medica 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035361/
https://www.ncbi.nlm.nih.gov/pubmed/36511168
http://dx.doi.org/10.23736/S1973-9087.22.07647-X
_version_ 1784911398587858944
author SPINA, Stefania
FACCIORUSSO, Salvatore
D’ASCANIO, Milena C.
MORONE, Giovanni
BARICICH, Alessio
FIORE, Pietro
SANTAMATO, Andrea
author_facet SPINA, Stefania
FACCIORUSSO, Salvatore
D’ASCANIO, Milena C.
MORONE, Giovanni
BARICICH, Alessio
FIORE, Pietro
SANTAMATO, Andrea
author_sort SPINA, Stefania
collection PubMed
description BACKGROUND: Turning may be particularly challenging for stroke patients leading to decreased mobility and increased functional restriction. Timed up and go instrumentation using a simple technology in the clinical context could allow for the collection of both traditional and potentially more discriminatory variables in turning ability. AIM: Determine whether the speed turning metrics obtained by a single inertial sensor are suitable for differentiating between stroke patients with varying levels of mobility and disability. DESIGN: Cross-sectional study. SETTING: Outpatients setting. POPULATION: Chronic stroke patients. METHODS: A total of 48 chronic stroke patients and 23 healthy controls were included. Stroke patients were divided in two groups based on the total iTUG score: an impaired mobility (> 20 seconds) and an available mobility (<20 seconds) group. All subjects performed an instrumented Timed Up and Go (iTUG) wearing a single IMU sensor on the lower back. Time of subcomponents of the timed up and go test and kinematic parameters of turning were quantified. Other clinical outcomes were: 10 meters walk test, Functional Ambulation Categories Scale (FAC), the Rivermead Mobility Index (RMI), Modified Rankin Scale and the Saltin–Grimby Physical Activity Level Scale (SGPALS). RESULTS: There were significant differences (P<0.01) in iTUG phases and turning speeds among groups. Low to strong significant correlations were found between measures derived from the turning speeds and clinical measures. The area under the curve (AUC) of Receiver Operating Characteristic (ROC) turning speeds was demonstrated to be able to discriminate (AUC: 0.742-0.912) from available to impaired stroke patients. CONCLUSIONS: This study provides evidence that turning speeds during timed up and go test are accurate measures of mobility and capable of discriminating stroke patients with impaired mobility from those with normal mobility. CLINICAL REHABILITATION IMPACT: The turning metrics are related to impairment and mobility in chronic stroke patients; hence they are important to include during clinical evaluation and may assist in creating a customized strategy, assess potential treatments, and effectively organize recovery.
format Online
Article
Text
id pubmed-10035361
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Edizioni Minerva Medica
record_format MEDLINE/PubMed
spelling pubmed-100353612023-03-24 Sensor based assessment of turning during instrumented Timed Up and Go Test for quantifying mobility in chronic stroke patients SPINA, Stefania FACCIORUSSO, Salvatore D’ASCANIO, Milena C. MORONE, Giovanni BARICICH, Alessio FIORE, Pietro SANTAMATO, Andrea Eur J Phys Rehabil Med Article BACKGROUND: Turning may be particularly challenging for stroke patients leading to decreased mobility and increased functional restriction. Timed up and go instrumentation using a simple technology in the clinical context could allow for the collection of both traditional and potentially more discriminatory variables in turning ability. AIM: Determine whether the speed turning metrics obtained by a single inertial sensor are suitable for differentiating between stroke patients with varying levels of mobility and disability. DESIGN: Cross-sectional study. SETTING: Outpatients setting. POPULATION: Chronic stroke patients. METHODS: A total of 48 chronic stroke patients and 23 healthy controls were included. Stroke patients were divided in two groups based on the total iTUG score: an impaired mobility (> 20 seconds) and an available mobility (<20 seconds) group. All subjects performed an instrumented Timed Up and Go (iTUG) wearing a single IMU sensor on the lower back. Time of subcomponents of the timed up and go test and kinematic parameters of turning were quantified. Other clinical outcomes were: 10 meters walk test, Functional Ambulation Categories Scale (FAC), the Rivermead Mobility Index (RMI), Modified Rankin Scale and the Saltin–Grimby Physical Activity Level Scale (SGPALS). RESULTS: There were significant differences (P<0.01) in iTUG phases and turning speeds among groups. Low to strong significant correlations were found between measures derived from the turning speeds and clinical measures. The area under the curve (AUC) of Receiver Operating Characteristic (ROC) turning speeds was demonstrated to be able to discriminate (AUC: 0.742-0.912) from available to impaired stroke patients. CONCLUSIONS: This study provides evidence that turning speeds during timed up and go test are accurate measures of mobility and capable of discriminating stroke patients with impaired mobility from those with normal mobility. CLINICAL REHABILITATION IMPACT: The turning metrics are related to impairment and mobility in chronic stroke patients; hence they are important to include during clinical evaluation and may assist in creating a customized strategy, assess potential treatments, and effectively organize recovery. Edizioni Minerva Medica 2022-12-13 /pmc/articles/PMC10035361/ /pubmed/36511168 http://dx.doi.org/10.23736/S1973-9087.22.07647-X Text en 2022 THE AUTHORS https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (CC BY-NC-ND) 4.0 License.
spellingShingle Article
SPINA, Stefania
FACCIORUSSO, Salvatore
D’ASCANIO, Milena C.
MORONE, Giovanni
BARICICH, Alessio
FIORE, Pietro
SANTAMATO, Andrea
Sensor based assessment of turning during instrumented Timed Up and Go Test for quantifying mobility in chronic stroke patients
title Sensor based assessment of turning during instrumented Timed Up and Go Test for quantifying mobility in chronic stroke patients
title_full Sensor based assessment of turning during instrumented Timed Up and Go Test for quantifying mobility in chronic stroke patients
title_fullStr Sensor based assessment of turning during instrumented Timed Up and Go Test for quantifying mobility in chronic stroke patients
title_full_unstemmed Sensor based assessment of turning during instrumented Timed Up and Go Test for quantifying mobility in chronic stroke patients
title_short Sensor based assessment of turning during instrumented Timed Up and Go Test for quantifying mobility in chronic stroke patients
title_sort sensor based assessment of turning during instrumented timed up and go test for quantifying mobility in chronic stroke patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035361/
https://www.ncbi.nlm.nih.gov/pubmed/36511168
http://dx.doi.org/10.23736/S1973-9087.22.07647-X
work_keys_str_mv AT spinastefania sensorbasedassessmentofturningduringinstrumentedtimedupandgotestforquantifyingmobilityinchronicstrokepatients
AT facciorussosalvatore sensorbasedassessmentofturningduringinstrumentedtimedupandgotestforquantifyingmobilityinchronicstrokepatients
AT dascaniomilenac sensorbasedassessmentofturningduringinstrumentedtimedupandgotestforquantifyingmobilityinchronicstrokepatients
AT moronegiovanni sensorbasedassessmentofturningduringinstrumentedtimedupandgotestforquantifyingmobilityinchronicstrokepatients
AT baricichalessio sensorbasedassessmentofturningduringinstrumentedtimedupandgotestforquantifyingmobilityinchronicstrokepatients
AT fiorepietro sensorbasedassessmentofturningduringinstrumentedtimedupandgotestforquantifyingmobilityinchronicstrokepatients
AT santamatoandrea sensorbasedassessmentofturningduringinstrumentedtimedupandgotestforquantifyingmobilityinchronicstrokepatients