Determination of patellofemoral pain sub-groups and development of a method for predicting treatment outcome using running gait kinematics. (October 2016)
- Record Type:
- Journal Article
- Title:
- Determination of patellofemoral pain sub-groups and development of a method for predicting treatment outcome using running gait kinematics. (October 2016)
- Main Title:
- Determination of patellofemoral pain sub-groups and development of a method for predicting treatment outcome using running gait kinematics
- Authors:
- Watari, Ricky
Kobsar, Dylan
Phinyomark, Angkoon
Osis, Sean
Ferber, Reed - Abstract:
- Abstract: Background: Not all patients with patellofemoral pain exhibit successful outcomes following exercise therapy. Thus, the ability to identify patellofemoral pain subgroups related to treatment response is important for the development of optimal therapeutic strategies to improve rehabilitation outcomes. The purpose of this study was to use baseline running gait kinematic and clinical outcome variables to classify patellofemoral pain patients on treatment response retrospectively. Methods: Forty-one individuals with patellofemoral pain that underwent a 6-week exercise intervention program were sub-grouped as treatment Responders (n = 28) and Non-responders (n = 13) based on self-reported measures of pain and function. Baseline three-dimensional running kinematics, and self-reported measures underwent a linear discriminant analysis of the principal components of the variables to retrospectively classify participants based on treatment response. The significance of the discriminant function was verified with a Wilk's lambda test (α = 0.05). Findings: The model selected 2 gait principal components and had a 78.1% classification accuracy. Overall, Non-responders exhibited greater ankle dorsiflexion, knee abduction and hip flexion during the swing phase and greater ankle inversion during the stance phase, compared to Responders. Interpretation: This is the first study to investigate an objective method to use baseline kinematic and self-report outcome variables to classifyAbstract: Background: Not all patients with patellofemoral pain exhibit successful outcomes following exercise therapy. Thus, the ability to identify patellofemoral pain subgroups related to treatment response is important for the development of optimal therapeutic strategies to improve rehabilitation outcomes. The purpose of this study was to use baseline running gait kinematic and clinical outcome variables to classify patellofemoral pain patients on treatment response retrospectively. Methods: Forty-one individuals with patellofemoral pain that underwent a 6-week exercise intervention program were sub-grouped as treatment Responders (n = 28) and Non-responders (n = 13) based on self-reported measures of pain and function. Baseline three-dimensional running kinematics, and self-reported measures underwent a linear discriminant analysis of the principal components of the variables to retrospectively classify participants based on treatment response. The significance of the discriminant function was verified with a Wilk's lambda test (α = 0.05). Findings: The model selected 2 gait principal components and had a 78.1% classification accuracy. Overall, Non-responders exhibited greater ankle dorsiflexion, knee abduction and hip flexion during the swing phase and greater ankle inversion during the stance phase, compared to Responders. Interpretation: This is the first study to investigate an objective method to use baseline kinematic and self-report outcome variables to classify on patellofemoral pain treatment outcome. This study represents a significant first step towards a method to help clinicians make evidence-informed decisions regarding optimal treatment strategies for patients with patellofemoral pain. Highlights: 3D kinematics can be used to classify on treatment response in patellofemoral pain. Non-responders present greater knee abduction angles during swing phase of running. Non-responders are more similar to pain free controls than Responders. … (more)
- Is Part Of:
- Clinical biomechanics. Volume 38(2016)
- Journal:
- Clinical biomechanics
- Issue:
- Volume 38(2016)
- Issue Display:
- Volume 38, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 38
- Issue:
- 2016
- Issue Sort Value:
- 2016-0038-2016-0000
- Page Start:
- 13
- Page End:
- 21
- Publication Date:
- 2016-10
- Subjects:
- Patellofemoral pain -- Running -- Kinematics -- Exercise therapy -- Principal component analysis -- Linear discriminant analysis
Biomechanics -- Periodicals
Osteopathic medicine -- Periodicals
Biomechanics -- Periodicals
Osteopathic Medicine -- Periodicals
612.76 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02680033 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.clinbiomech.2016.08.003 ↗
- Languages:
- English
- ISSNs:
- 0268-0033
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3286.262800
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 36.xml