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Multicenter Study
. 2021 Aug;29(8):1138-1146.
doi: 10.1016/j.joca.2021.03.009. Epub 2021 Mar 20.

Ground reaction force patterns in knees with and without radiographic osteoarthritis and pain: descriptive analyses of a large cohort (the Multicenter Osteoarthritis Study)

Affiliations
Multicenter Study

Ground reaction force patterns in knees with and without radiographic osteoarthritis and pain: descriptive analyses of a large cohort (the Multicenter Osteoarthritis Study)

K E Costello et al. Osteoarthritis Cartilage. 2021 Aug.

Abstract

Objective: To compare ground reaction force patterns (GRF) during walking among legs defined by presence or absence of knee pain and/or radiographic knee osteoarthritis (ROA).

Method: Principal component analysis extracted major modes of variation (PCs) in GRF data from the Multicenter Osteoarthritis Study during self-paced walking. Legs were categorized as pain + ROA (n = 168), ROA only (n = 303), pain only (n = 476), or control (n = 1877). Relationships between group and GRF PCs were examined using Generalized Estimating Equations, adjusted for age, sex, body mass index, race, and clinic site with and without additional adjustment for gait speed.

Results: With or without speed adjustment, pain + ROA had flatter vertical GRF waveforms than control (speed adjusted PC2 difference [95%CI]: -66 [-113,-20]), pain + ROA and ROA only had higher lateral GRF at impact and greater mid-stance medial GRF than control (speed adjusted PC3 difference: 9 [3,16] and 6 [2,10], respectively), and ROA only had higher early vs late medial GRF than control (speed adjusted PC2 difference: 7 [2,13]). Pain only had flatter vertical GRF waveforms and a smaller difference between anterior and posterior GRF than control only without speed adjustment.

Conclusion: In this large sample, sustained mid-stance loading and higher impact loads were identified in legs with ROA or ROA and pain, even when adjusting for differences in gait speed and other confounders. While it remains to be seen whether these features precede or result from ROA and pain, the presence of these patterns in the speed-adjusted models could have implications on gait interventions aimed to change joint loading.

Keywords: Ground reaction force; Knee; Pain; Principal component analysis; Radiographic osteoarthritis.

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Conflict of interest statement

Competing interest statement

The authors have no professional relationships with companies or manufacturers who will benefit from the results of the present study. NAS reports personal fees from Springer and grants from Flexion Therapeutics, Pacira CyroHealth, Zimmer-Biomet, and Tenex Health, outside of the submitted work.

Figures

Figure 1.
Figure 1.
Study sample selection and groups (MOST: Multicenter Osteoarthritis Study; OA: osteoarthritis; GRF: ground reaction force; WOMAC: Western Ontario and McMaster Universities Osteoarthritis Index; ROA: radiographic knee osteoarthritis).
Figure 2.
Figure 2.
Vertical (V) ground reaction force (GRF): [A] unadjusted V GRF for groups of legs defined by defined by presence or absence of knee pain during walking and radiographic knee osteoarthritis (ROA); [B-C] mean difference and 95% confidence intervals in estimated marginal mean V PC2 scores for groups of legs with pain and ROA, ROA only, and pain only relative to controls, adjusted for age, sex, body mass index, clinic site, race, [B] without or [C] with additional adjustment for speed; [D] waveforms reconstructed using the 5th, 33rd, 50th, 67th, or 95th percentile V PC2 score (blue lines), demonstrating how the waveform shape changes across a range of PC scores, and percent variance explained by V PC2 (shaded gray), indicating where in the stance phase the PC is capturing variance among waveforms.
Figure 3.
Figure 3.
Anterior-posterior (AP) ground reaction force (GRF): [A] unadjusted AP GRF for groups of legs defined by defined by presence or absence of knee pain during walking and radiographic knee osteoarthritis (ROA); [B-C] mean difference and 95% confidence intervals in estimated marginal mean AP PC1 scores for groups of legs with pain and ROA, ROA only, and pain only relative to controls, adjusted for age, sex, body mass index, clinic site, race, [B] without or [C] with additional adjustment for speed; [D] waveforms reconstructed using the 5th, 33rd, 50th, 67th, or 95th percentile AP PC1 score (blue lines), demonstrating how the waveform shape changes across a range of PC scores, and percent variance explained by AP PC1 (shaded gray), indicating where in the stance phase the PC is capturing variance among waveforms.
Figure 4.
Figure 4.
Medial-lateral (ML) ground reaction force (GRF): [A] unadjusted ML GRF for groups of legs defined by defined by presence or absence of knee pain during walking and radiographic knee osteoarthritis (ROA); [B-C] mean difference and 95% confidence intervals in estimated marginal mean ML PC2 scores for groups of legs with pain and ROA, ROA only, and pain only relative to controls, adjusted for age, sex, body mass index, clinic site, race, [B] without or [C] with additional adjustment for speed; [D] waveforms reconstructed using the 5th, 33rd, 50th, 67th, or 95th percentile ML PC2 score (blue lines), demonstrating how the waveform shape changes across a range of PC scores, and percent variance explained by ML PC2 (shaded gray), indicating where in the stance phase the PC is capturing variance among waveforms; [E-F] mean difference and 95% confidence intervals in estimated marginal mean ML PC3 scores for groups of legs with pain and ROA, ROA only, and pain only relative to controls, adjusted for age, sex, body mass index, clinic site, race, [E] without or [F] with additional adjustment for speed; [D] waveforms reconstructed using the 5th, 33rd, 50th, 67th, or 95th percentile ML PC3 score (blue lines) and percent variance explained by ML PC3 (shaded gray), across the stance phase.

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