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Quantitative gait markers and the TUG time in chronic kidney disease.
Zhang, Xin; Wang, Hao; Lu, Heyang; Fan, Min; Tian, Weizhong; Wang, Yingzhe; Cui, Mei; Jiang, Yanfeng; Suo, Chen; Zhang, Tiejun; Jin, Li; Xu, Kelin; Chen, Xingdong.
Afiliación
  • Zhang X; School of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
  • Wang H; Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
  • Lu H; School of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
  • Fan M; Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
  • Tian W; Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
  • Wang Y; Taixing Disease Control and Prevention Center, Taizhou, Jiangsu, China.
  • Cui M; Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu, China.
  • Jiang Y; Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
  • Suo C; State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China.
  • Zhang T; Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
  • Jin L; Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
  • Xu K; Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
  • Chen X; State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China.
Heliyon ; 10(15): e35292, 2024 Aug 15.
Article en En | MEDLINE | ID: mdl-39170243
ABSTRACT

Background:

Poor gait performance results in more fall incidents among people with chronic kidney disease (CKD). It is unknown what specific quantitative gait markers contribute to high fall risk in CKD and the size of their mediation effects.

Methods:

We included 634 participants from the Taizhou Imaging Study who had complete gait and laboratory data. Quantitative gait assessment was conducted with a wearable insole-like device. Factor analysis was utilized to summarize fifteen highly correlated individual parameters into five independent gait domains. Prevalent CKD was defined as an estimated glomerular filtration rate (eGFR) < 60 ml/min per 1.73 m2, which was calculated based on cystatin C. Regression models were created to examine the associations of prevalent CKD with quantitative gait markers and the TUG time. Mediation analysis was used to investigate whether poor quantitative gait parameters could be mediators and the proportion of their mediation effects.

Results:

Participants with prevalent CKD had a higher TUG time (odds ratio = 2.02, P = 0.025) and poor gait performance in the phase domain (standardized ß = -0.391, FDR = 0.009), including less time in the swing phase (standardized ß = -0.365, FDR = 0.027) and greater time in the double-support phase (standardized ß = 0.367, FDR = 0.027). These abnormalities mediated the association of prevalent CKD with a high TUG time (for the swing phase 31.6 %, P mediation = 0.044; for the double-support phase 29.6 %, P mediation = 0.042; for the phase domain 26.9 %, P mediation = 0.048).

Conclusion:

Poor phase-related gait abnormalities mediated the relationship between CKD and a high TUG time, suggesting that incorporating quantitative gait markers in specific domains may improve fall prevention programs for individuals with CKD.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Heliyon Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Heliyon Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido