Spatiotemporal gait characteristics post-total hip arthroplasty and its impact on locomotive syndrome: a before-after comparative study in hip osteoarthritis patients

被引:0
作者
Miyazaki, Shigeaki [1 ]
Fujii, Yoshinori [2 ]
Tsuruta, Kurumi [3 ]
Yoshinaga, Saori [4 ]
Hombu, Amy [5 ]
Funamoto, Taro [6 ]
Sakamoto, Takero [6 ]
Tajima, Takuya [6 ]
Arakawa, Hideki [1 ]
Kawaguchi, Tsubasa [1 ]
Nakatake, Jun [1 ]
Chosa, Etsuo [6 ]
机构
[1] Univ Miyazaki Hosp, Rehabil Unit, Miyazaki, Japan
[2] Univ Miyazaki, Fac Educ, Dept Math Educ, Miyazaki, Japan
[3] Shunan Univ, Fac Human Hlth Sci, Dept Nursing, Shunan, Yamaguchi, Japan
[4] Univ Miyazaki, Fac Med, Sch Nursing, Miyazaki, Japan
[5] Univ Miyazaki, Ctr Language & Cultural Studies, Miyazaki, Japan
[6] Univ Miyazaki, Fac Med, Dept Orthopaed Surg, Miyazaki, Japan
来源
PEERJ | 2024年 / 12卷
基金
日本学术振兴会;
关键词
Three-dimensional analysis; Gait characteristics; Total hip arthroplasty; Locomotive syndrome; Hip osteoarthritis; Principal component analysis; Spatiotemporal gait parameters;
D O I
10.7717/peerj.18351
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background. Understanding the gait pattern of patients eligible for total hip arthroplasty (THA) due to hip osteoarthritis (OA) offers valuable information for improving locomotive syndrome (LS). This study aims to measure the gait patterns of THA-eligible patients using an optical motion capture system and to analyze these patterns using principal component analysis (PCA). Additionally, this study examines the relationship between THA-induced gait patterns and LS. Methods. This before-after study included 237 patients who underwent unilateral primary THA due to hip OA. The primary outcome measures were spatiotemporal gait parameters. Secondary outcome measures included three LS risk tests: a stand-up test, a two-step test, a 25-question Geriatric Locomotive Function Scale (GLFS-25), and total clinical decision limits stages. PCA was performed using 16 spatiotemporal gait parameters collected before and three months after THA. Principal components (PC) were selected to achieve a cumulative contribution rate of 90% (0.9) or higher. Each summarized PC was compared using a paired t-test before and three months after THA. Furthermore, multiple regression analysis was conducted to determine how changes in each PC between before and three months after THA related to changes in the four LS evaluation items. Results. PCA identified three principal components (PC1, PC2, PC3) that accounted for a cumulative contribution rate of 0.910 using 16 spatiotemporal gait parameters. When comparing before and three months after THA for all three PCs, significant differences were observed in each PC (p < 0.001), with overall walking ability and stance phase being higher three months after THA than before THA, while the asymmetry of support time was lower three months after THA. The results of multiple regression analysis revealed that PC1, PC2, and PC3 were the most influential factors in total clinical decision limits stage. For each LS risk test, the factors related to the stand-up test were identified as PC1, PC2, and PC3, while the factors related to the two-step test were identified as PC1 and PC2. The factors related to the GLFS-25 were also identified as PC1 and PC2. Conclusions. The most important findings of this study indicate that the three PCs represent over 90% of the 16 spatiotemporal gait parameters, which are associated with total clinical decision limits stage and LS risk tests. The present results suggest that PC1 represents overall walking ability, PC2 represents the stance phase, and PC3 represents asymmetry of support time. Gait pattern characteristics, such as overall walking ability, stance phase, and asymmetry of support time, were clearly defined by these PCs. Regarding the relationship between PC and LS, all three PCs are related to total clinical decision limits stage. In addition, PC1 and PC2 related to all three LS risk tests, and PC3 related only to the stand-up test.
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页数:17
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  • [1] Ackerman IN, Bohensky MA, De Steiger R, Brand CA, Eskelinen A, Fenstad AM, Furnes O, Graves SE, Haapakoski J, Makela K, Mehnert F, Nemes S, Overgaard S, Pedersen AB, Garellick G., Lifetime risk of primary total hip replacement surgery for osteoarthritis from 2003 to 2013: a multinational analysis using national registry data, Arthritis Care & Research, 69, 11, pp. 1659-1667, (2017)
  • [2] Ackerman IN, Bohensky MA, Zomer E, Tacey M, Gorelik A, Brand CA, De Steiger R., The projected burden of primary total knee and hip replacement for osteoarthritis in Australia to the year 2030, BMC Musculoskeletal Disorders, 20, (2019)
  • [3] Akai M, Doi T, Seichi A, Okuma Y, Ogata T, Iwaya T., Locomotive syndrome: operational definition based on a questionnaire, and exercise interventions on mobility dysfunction in elderly people, Clinical Reviews in Bone and Mineral Metabolism, 14, pp. 119-130, (2016)
  • [4] Amlie E, Havelin LI, Furnes O, Baste V, Nordsletten L, Hovik O, Dimmen S., Worse patient-reported outcome after lateral approach than after anterior and posterolateral approach in primary hip arthroplasty. A cross-sectional questionnaire study of 1,476 patients 1–3 years after surgery, Acta Orthopaedica, 85, 5, pp. 463-469, (2014)
  • [5] Bahl JS, Nelson MJ, Taylor M, Solomon LB, Arnold JB, Thewlis D., Biomechanical changes and recovery of gait function after total hip arthroplasty for osteoarthritis: a systematic review and meta-analysis, Osteoarthritis and Cartilage, 26, 7, pp. 847-863, (2018)
  • [6] Bonnefoy-Mazure A, Poncet A, Gonzalez A, Barea C, Hannouche D, Lubbeke A., Limping and patient satisfaction after primary total hip arthroplasty: a registry-based cohort study, Acta Orthopaedica, 93, pp. 602-608, (2022)
  • [7] Da Cunha BM, Gava AD, De Oliveira SB, De David AC, Dos Santos-Neto LL., Vitamin d is related to gait recovery after total hip arthroplasty: a prospective analysis, Gait & Posture, 50, pp. 96-101, (2016)
  • [8] Deluzio KJ, Astephen JL., Biomechanical features of gait waveform data associated with knee osteoarthritis: an application of principal component analysis, Gait & Posture, 25, 1, pp. 86-93, (2007)
  • [9] Diamond LE, Allison K, Dobson F, Hall M., Hip joint moments during walking in people with hip osteoarthritis: a systematic review and meta-analysis, Osteoarthritis and Cartilage, 26, 11, pp. 1415-1424, (2018)
  • [10] Ewen AM, Stewart S, St Clair Gibson A, Kashyap SN, Caplan N., Post-operative gait analysis in total hip replacement patients-a review of current literature and meta-analysis, Gait & Posture, 36, 1, pp. 1-6, (2012)