Quantifying varus thrust in knee osteoarthritis using wearable inertial sensors: A proof of concept.


Journal

Clinical biomechanics (Bristol, Avon)
ISSN: 1879-1271
Titre abrégé: Clin Biomech (Bristol, Avon)
Pays: England
ID NLM: 8611877

Informations de publication

Date de publication:
12 2020
Historique:
received: 15 05 2020
revised: 14 10 2020
accepted: 09 11 2020
pubmed: 18 11 2020
medline: 24 4 2021
entrez: 17 11 2020
Statut: ppublish

Résumé

Varus thrust during walking, visualized as excessive frontal plane knee motion during weight acceptance, is a modifiable risk factor for progression of knee osteoarthritis. However, visual assessment does not capture thrust severity and quantification with optical motion capture is often not feasible. Inertial sensors may provide a convenient alternative to optical motion capture. This proof-of-concept study sought to compare wearable inertial sensors to optical motion capture for the quantification of varus thrust. Twenty-six participants with medial knee osteoarthritis underwent gait analysis at self-selected and fast speeds. Linear regression with generalized estimating equations assessed associations between peak knee adduction velocity or knee adduction excursion from optical motion capture and peak thigh or shank adduction velocity from two inertial sensors on the lower limb. Relationships between inertial measures and peak external knee adduction moment were assessed as a secondary aim. Both thigh and shank inertial sensor measures were associated with the optical motion capture measures for both speeds (P < 0.001 to P = 0.020), with the thigh measures having less variability than the shank. After accounting for age, sex, body mass index, radiographic severity, and limb alignment, thigh adduction velocity was also associated with knee adduction moment at both speeds (both P < 0.001). An inertial sensor placed on the mid-thigh can quantify varus thrust in people with medial knee osteoarthritis without the need for optical motion capture. This single sensor may be useful for risk screening or evaluating the effects of interventions in large samples.

Sections du résumé

BACKGROUND
Varus thrust during walking, visualized as excessive frontal plane knee motion during weight acceptance, is a modifiable risk factor for progression of knee osteoarthritis. However, visual assessment does not capture thrust severity and quantification with optical motion capture is often not feasible. Inertial sensors may provide a convenient alternative to optical motion capture. This proof-of-concept study sought to compare wearable inertial sensors to optical motion capture for the quantification of varus thrust.
METHODS
Twenty-six participants with medial knee osteoarthritis underwent gait analysis at self-selected and fast speeds. Linear regression with generalized estimating equations assessed associations between peak knee adduction velocity or knee adduction excursion from optical motion capture and peak thigh or shank adduction velocity from two inertial sensors on the lower limb. Relationships between inertial measures and peak external knee adduction moment were assessed as a secondary aim.
FINDINGS
Both thigh and shank inertial sensor measures were associated with the optical motion capture measures for both speeds (P < 0.001 to P = 0.020), with the thigh measures having less variability than the shank. After accounting for age, sex, body mass index, radiographic severity, and limb alignment, thigh adduction velocity was also associated with knee adduction moment at both speeds (both P < 0.001).
INTERPRETATION
An inertial sensor placed on the mid-thigh can quantify varus thrust in people with medial knee osteoarthritis without the need for optical motion capture. This single sensor may be useful for risk screening or evaluating the effects of interventions in large samples.

Identifiants

pubmed: 33202314
pii: S0268-0033(20)30351-X
doi: 10.1016/j.clinbiomech.2020.105232
pmc: PMC7749075
mid: NIHMS1646821
pii:
doi:

Types de publication

Comparative Study Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

105232

Subventions

Organisme : NIAMS NIH HHS
ID : K01 AR069720
Pays : United States
Organisme : NIAMS NIH HHS
ID : P30 AR072571
Pays : United States
Organisme : NIAMS NIH HHS
ID : T32 AR007598
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001430
Pays : United States

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

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Auteurs

Kerry E Costello (KE)

Department of Physical Therapy & Athletic Training, Boston University College of Health & Rehabilitation Sciences: Sargent College, Boston, MA, USA; Division of Rheumatology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.

Samantha Eigenbrot (S)

Department of Physical Therapy & Athletic Training, Boston University College of Health & Rehabilitation Sciences: Sargent College, Boston, MA, USA.

Alex Geronimo (A)

Department of Physical Therapy & Athletic Training, Boston University College of Health & Rehabilitation Sciences: Sargent College, Boston, MA, USA.

Ali Guermazi (A)

Division of Rheumatology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA; Department of Radiology, VA Boston Healthcare System, Boston University School of Medicine, Boston, MA, USA.

David T Felson (DT)

Department of Physical Therapy & Athletic Training, Boston University College of Health & Rehabilitation Sciences: Sargent College, Boston, MA, USA; Division of Rheumatology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.

Jim Richards (J)

Allied Health Research Unit, School of Sport and Health Sciences, University of Central Lancashire, Preston, UK.

Deepak Kumar (D)

Department of Physical Therapy & Athletic Training, Boston University College of Health & Rehabilitation Sciences: Sargent College, Boston, MA, USA; Division of Rheumatology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA. Electronic address: kumard@bu.edu.

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