Abstract

Abstract Background and Aims Gait speed is a predictor of disability, mobility limitation and mortality. Buchner et al. the first to observe a non-linear relationship between leg strength and normal gait speed. This relationship was explained as small changes in physiological capacity. The objective of this study is to assess the relationship between gait speed and body composition in haemodialysis. Method Cross-sectional study in 40 subjects with CKD in hospital haemodialysis, 70.5±13.03 years, 62.5% male. 40% Diabetic Nephropathy, 10% Glomerulopathies, 7.5% Nephroangiosclerosis, 2.5% Chronic Tubule-Interstitial Nephropathies, 32.5% Unknown, 2.5% Others. 35% arteriovenous fistula, 10% arteriovenous graft, 55% central venous catheter. Haemodialysis type: 40% High Flux, 45% Online postdilutional Haemodiafiltration, 10% Acetate Free Biofiltration. Gait seed was measured on the middle day of the week, predialysis. Body composition was estimated by monofrecuency bioimpedance measurement (50 KHz) on the middle day of the week, posthemodiálisis. Statistical analysis was performed with SPSS 13.0. Results Average gait speed 0.6±0.38 m/s, median 0.65 (IQR 0.18) m/s, range (0, 1.23) m/s. The prevalence of a gait speed less than or equal to 0.8 m/s was 67.5%, while 32.5% of the patients presented a gait speed less than or equal to 0.8 m/s. Gait speed was lower among diabetics (0.77±0.3 vs 0.46±0.39, p=0.0074). A positive and significant correlation was observed between gait speed and phase angle. No correlation was observed between gait speed and body fat. A positive linear relationship or dependence was observed between gait speed and muscle mass and cell mass. In relation to body water, a negative linear relationship is observed with the EW/IW ratio. Table 1. Conclusion There is a dependent relationship between gait speed and diabetes in haemodialysis patients. The decrease of the phase angle, the increase of the ratio EW/IW changes with the decrease the cell mass index are inversely related to the gait speed in haemodialysis patients. These items and the gait speed, which provide information on the state of vulnerability of the patient, could be markers of frailty.

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