Volume 24 Issue 5
May  2026
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XU Shaobo, LIU Yanhong, CHAI Jianli. Study on the trajectory and influencing factors of fatigue in maintenance hemodialysis patients[J]. Chinese Journal of General Practice, 2026, 24(5): 786-789. doi: 10.16766/j.cnki.issn.1674-4152.004491
Citation: XU Shaobo, LIU Yanhong, CHAI Jianli. Study on the trajectory and influencing factors of fatigue in maintenance hemodialysis patients[J]. Chinese Journal of General Practice, 2026, 24(5): 786-789. doi: 10.16766/j.cnki.issn.1674-4152.004491
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Study on the trajectory and influencing factors of fatigue in maintenance hemodialysis patients

doi: 10.16766/j.cnki.issn.1674-4152.004491
  • 1.

    Department of Hemodialysis, the Qiantang Campus of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, China

Funds:

 Y202454280

  • Received Date: 2025-10-29
    Available Online: 2026-10-23
    Abstract
  •   Objective  To study the trajectory of fatigue changes and its influencing factors in maintenance hemodialysis (MHD) patients.  Methods  A total of 171 patients undergoing maintenance hemodialysis at Sir Run Run Shaw Hospital, Zhejiang University School of Medicine from February 2024 to January 2025 were selected. Their general information, laboratory indicators, interdialysis weight gain (IDWG), fatigue score, social support score and comorbidity index were collected. Latent class growth mixture modeling (GMM) was used to fit the latent class of fatigue trajectory of MHD patients for 14 days, and logistic analysis was used to analyze the influencing factors of fatigue trajectory.  Results  There were 116 cases (67.84%) with fatigue patients, and the degree of fatigue had four trajectories: 55 cases (32.16%) in the "no fatigue group", 62 cases (36.26%) in the "persistent fatigue group", 39 cases (22.81%) in the "fatigue relief group", and 15 cases (8.77%) in the "elevated fatigue group". Logistic regression analysis showed that: female, age ≥60 years, dialysis age ≥60 months, IDWG, an increase in comorbidity index were risk factors for fatigue in maintenance hemodialysis patients, while social support (high score) was a protective factor for fatigue in maintenance hemodialysis patients.  Conclusion  There are four fatigue trajectories in maintenance hemodialysis patients, and there is population heterogeneity. female, age ≥60 years, dialysis age ≥60 months, IDWG, an increase in comorbidity index are risk factors for fatigue in maintenance hemodialysis patients, while social support (high score) is a protective factor for fatigue in maintenance hemodialysis patients.

     

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