Evidence map›Paper›PMID 40659590›Full record

ArticleZhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery2025

[Difference of compensatory mechanisms in bilateral knee osteoarthritis patients of varying severity].

Bo Hu, Junqing Wang, Hui Zhang, Tao Deng, Yong Nie, Kang Li

Abstract readEnglish Abstract
In one paragraph

Article in Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Bo HuCollege of Electrical Engineering, Sichuan University, Chengdu Sichuan, 610041, P. R. China.
Junqing WangDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu Sichuan, 610041, P. R. China.
Hui ZhangWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu Sichuan, 610041, P.R. China.
Tao DengSchool of Mechanical Engineering, Sichuan University, Chengdu Sichuan, 610041, P. R. China.
Yong NieDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu Sichuan, 610041, P. R. China.
Kang LiCollege of Electrical Engineering, Sichuan University, Chengdu Sichuan, 610041, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the load distribution on the more painful and less painful limbs in patients with mild-to-moderate and severe bilateral knee osteoarthritis (KOA) and explore the compensatory mechanisms in both limbs among bilateral KOA patients with different severity levels. Methods: A total of 113 participants were enrolled between July 2022 and September 2023. This cohort comprised 43 patients with mild-to-moderate bilateral KOA (Kellgren-Lawrence grade 2-3), 43 patients with severe bilateral KOA (Kellgren-Lawrence grade 4), and 27 healthy volunteers (healthy control group). The visual analogue scale (VAS) score for pain, the Hospital for Special Surgery (HSS) score, passive knee range of motion (ROM), and hip-knee-ankle angle (HKA) were used to assess walking pain intensity, joint function, and lower limb alignment in KOA patients, respectively. Motion trajectories of reflective markers and ground reaction force data during walking were captured using a gait analysis system. Musculoskeletal modeling was then employed to calculate biomechanical parameters, including the peak knee adduction moment (KAM), KAM impulse, peak joint contact force (JCF), and peak medial/lateral contact forces (MCF/LCF). Statistical analyses were performed to compare differences in clinical and gait parameters between bilateral limbs. Additionally, one-dimensional statistical parametric mapping was utilized to analyze temporal gait data. Results: Mild-to-moderate KOA patients showed the significantly higher HSS score (67.7±7.9) than severe KOA patients (51.9±8.9; Conclusion: Patients with mild-to-moderate KOA effectively reduce load on the more painful limb through compensatory mechanisms in the less painful limb. Conversely, severe bilateral varus deformities in advanced KOA patients nullify compensatory capacity in the less painful limb, paradoxically increasing load on the more painful limb. This dichotomy necessitates personalized management strategies tailored to disease severity.

Indexed as

Knee JointOsteoarthritis, KneeAdultAgedBiomechanical PhenomenaCase-Control StudiesFemaleGaitHumansMaleMiddle AgedPain MeasurementRange of Motion, ArticularSeverity of Illness IndexWalkingWeight-Bearingcompensatory mechanismsKnee osteoarthritisloading distributionseverity levels

Identifiers

PMID40659590
PMCPMC12279917

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.