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Can gait patterns be explained by joint structure in people with and without radiographic knee osteoarthritis? Data from the IMI-APPROACH cohort
被引:0
|作者:
Jansen, M. P.
[1
]
Hodgins, D.
[2
]
Mastbergen, S. C.
[1
]
Kloppenburg, M.
[3
,4
]
Blanco, F. J.
[5
]
Haugen, I. K.
[6
]
Berenbaum, F.
[7
,8
]
Eckstein, F.
[9
,10
,11
]
Roemer, F. W.
[12
,13
,14
]
Wirth, W.
[9
,10
,11
]
机构:
[1] Univ Med Ctr Utrecht, Dept Rheumatol & Clin Immunol, HP G02 228 Heidelberglaan, 100, CX, NL-3584 Utrecht, Netherlands
[2] Dynam Metrics Ltd, Codicote, England
[3] Leiden Univ, Med Ctr, Dept Rheumatol, Leiden, Netherlands
[4] Leiden Univ, Clin Epidemiol, Med Ctr, Leiden, Netherlands
[5] Univ A Coruna, Complejo Hosp Univ A Coruna, Grp Invest Reumatol GIR, Serv Reumatol,SERGAS,INIBC,Ctr Invest CICA,Dept Fi, La Coruna, Spain
[6] Diakonhjemmet Hosp, Ctr Treatment Rheumat & Musculoskeletal Dis REMEDY, Oslo, Norway
[7] St Antoine Hosp, AP HP, Dept Rheumatol, Paris, France
[8] Sorbonne Univ, INSERM, Paris, France
[9] Paracelsus Med Univ, Inst Anat & Cell Biol, Dept Imaging & Funct Musculoskeletal Res, Salzburg, Austria
[10] Paracelsus Med Univ, Ludwig Boltzmann Inst Arthrit & Rehabil LBIAR, Salzburg, Austria
[11] Chondrometrics GmbH, Freilassing, Germany
[12] Boston Univ, Quantitat Imaging Ctr, Sch Med, Dept Radiol, Boston, MA USA
[13] Univ Klinikum Erlangen, Dept Radiol, Erlangen, Germany
[14] Friedrich Alexander Univ Erlangen Nurnberg FAU, Erlangen, Germany
关键词:
Osteoarthritis;
Structure;
Pathology;
Gait;
ROM;
MARGINAL OSTEOPHYTES;
DIGITAL ANALYSIS;
PAIN;
CLASSIFICATION;
ASSOCIATION;
KINEMATICS;
SEVERITY;
D O I:
10.1007/s00256-024-04666-8
中图分类号:
R826.8 [整形外科学];
R782.2 [口腔颌面部整形外科学];
R726.2 [小儿整形外科学];
R62 [整形外科学(修复外科学)];
学科分类号:
摘要:
Objective To determine the association between joint structure and gait in patients with knee osteoarthritis (OA).Methods IMI-APPROACH recruited 297 clinical knee OA patients. Gait data was collected (GaitSmart (R)) and OA-related joint measures determined from knee radiographs (KIDA) and MRIs (qMRI/MOAKS). Patients were divided into those with/without radiographic OA (ROA). Principal component analyses (PCA) were performed on gait parameters; linear regression models were used to evaluate whether image-based structural and demographic parameters were associated with gait principal components.Results Two hundred seventy-one patients (age median 68.0, BMI 27.0, 77% female) could be analyzed; 149 (55%) had ROA. PCA identified two components: upper leg (primarily walking speed, stride duration, hip range of motion [ROM], thigh ROM) and lower leg (calf ROM, knee ROM in swing and stance phases). Increased age, BMI, and radiographic subchondral bone density (sclerosis), decreased radiographic varus angle deviation, and female sex were statistically significantly associated with worse lower leg gait (i.e. reduced ROM) in patients without ROA (R 2 = 0.24); in ROA patients, increased BMI, radiographic osteophytes, MRI meniscal extrusion and female sex showed significantly worse lower leg gait (R 2 = 0.18). Higher BMI was significantly associated with reduced upper leg function for non-ROA patients (R 2 = 0.05); ROA patients with male sex, higher BMI and less MRI synovitis showed significantly worse upper leg gait (R 2 = 0.12).Conclusion Structural OA pathology was significantly associated with gait in patients with clinical knee OA, though BMI may be more important. While associations were not strong, these results provide a significant association between OA symptoms (gait) and joint structure.
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页码:2409 / 2416
页数:8
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