Factors associated with subgroups of fatigue in maintenance hemodialysis patients: a cross-sectional study

Abstract

Objective

This study aimed to investigate affected factors for subgroups of fatigue and the degree of fatigue in maintenance hemodialysis (MHD) patients.

Methods

This study included 120 MHD patients. Questionnaires, pre- and post-dialysis clinical data, bioimpedance spectroscopy, and ultrasound assessment were involved.

Results

The prevalence of fatigue in participants was 83%, including 54% of patients with fatigue worsened by dialysis, 13% with fatigue lessened by dialysis, and 16% with undifferentiated fatigue. Based on multi-nominal logistic regression analysis, age was associated with worsened fatigue by dialysis (odds ratio (OR) = 1.06, 95% confidence interval (CI) 1.01–1.11, p = 0.019), lower post-dialysis phosphorus was associated with lessened fatigue by dialysis (OR = 0.03, 95% CI 0.001–0.981, p = 0.049), and there was an increasing trend of patients experiencing undifferentiated fatigue as the extracellular water / intracellular water (E/I) level increased (p for trend = 0.020). Based on multi-ordinal logistic regression analysis, age was also a significant predictor for more severe fatigue (OR = 1.042, 95% CI 1.008–1.059, p = 0.015).

Conclusions

Different subgroups of fatigue in MHD patients have different affecting factors. Older patients were prone to worsened fatigue by dialysis, patients with lower post-dialysis phosphorus were prone to lessened fatigue by dialysis, and patients with higher E/I levels were prone to undifferentiated fatigue. Meanwhile, older patients are prone to suffer from more severe fatigue. However, more in-depth studies are needed to clarify the pathogenesis of fatigue in MHD patients.

Keywords:

• Hemodialysis
• fatigue
• relevant factors
• volume load

Consent form

Informed consent was obtained from all participants.

Author contributions

All authors have made a significant contribution to the study. Methodology and writing original draft were done by ZXY; formal analysis and writing original draft by ZZH; resources and data curation by CYM and YQ; methodology and data curation by XB and LBC; conceptualization, financial support, and manuscript revision by HLT. All authors approved the final manuscript.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

All data generated or analyzed during this study are included in this published article.

Additional information

Funding

This work was sponsored by the Fund of Fujian Science and Technology Department [2021J01363].