Evaluation of muscle elasticity in patients with end-stage renal disease complicated with sarcopenia by real-time shear wave elastography multipoint measurement
Article Category: Research Article
Published Online: May 04, 2023
Page range: 135 - 144
Received: Nov 01, 2022
Accepted: Feb 27, 2023
DOI: https://doi.org/10.2478/rrlm-2023-0008
Keywords
© 2023 Li Guo et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Background
To analyze the value of real-time shear wave elastography (SWE) multi-point measurement in the evaluation of muscle elasticity in patients with end-stage renal disease (ESRD) complicated with sarcopenia.
Methods
We enrolled 169 ESRD patients treated as the research objects from January 2019 to February 2022. According to whether they were complicated with sarcopenia, the patients were divided into sarcopenia group (n=63) and non-sarcopenia group (n=106). The Young’s modulus and shear wave velocity (SWV) of muscles in relaxed and contracted states were measured by SWE technology in the two groups.
Results
Logistic regression analysis showed that age and hs-CRP were independent risk factors for sarcopenia in ESRD patients (P<0.05), while BMI, muscle thickness, Young’s modulus in stretched state and SWV in stretched state were protective factors for sarcopenia in ESRD patients (P<0.05). BMI, muscle thickness, Young’s modulus in extended state, SWV in extended state and Young’s modulus in rest state were all negatively correlated with age and hs-CRP (P<0.05), while there was a significant positive correlation between age and hs-CRP (P<0.05). Independent influencing factors were used to construct the prediction model of nomogram. The consistency index (C-index) was 0.845 (95% CI: 0.830~0.857), and the AUC of ROC curve was 0.852 (95% CI: 0.836~0.871), which had good discrimination.
Conclusion
SWE could accurately evaluate the muscle elasticity of ESRD patients, so as to reflect the changes of muscle mass and stiffness of patients, and could provide the important imaging indicator for the prediction of sarcopenia.