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Managing the hemodialysis symptom burden is a critical challenge for clinicians treating patients with end-stage renal disease. Moreover, these symptoms frequently occur in clusters rather than in isolation. Consequently, identifying the most influential symptoms is vital for improving patient outcomes. Researchers conducted a large-scale study in Egypt to explore these complex relationships using network analysis.
The results showed that patients experienced an average of nine different symptoms. Notably, bone and joint pain was the most prevalent issue, affecting nearly 63% of the cohort. Additionally, more than half of the participants reported feeling tired or lacking energy. Despite the prevalence of physical pain, network analysis revealed that emotional factors like nervousness and worrying were the "core" symptoms. Therefore, addressing mental health might reduce the overall severity of other connected symptoms.
Clinicians must look beyond individual laboratory targets to assess the broader hemodialysis symptom burden. Specifically, the study identified several independent predictors of high burden, including female sex, rural residence, and low hemoglobin levels. Furthermore, patients with higher comorbidity scores or lower functional status were more likely to suffer. Surprisingly, the non-use of calcium channel blockers also correlated with increased distress.
Multidisciplinary teams should implement regular, structured screenings. Because symptoms like nausea and nervousness often act as "bridge" symptoms, managing them early can prevent a domino effect across the network. Thus, an individualized approach that integrates physical and psychological care remains the gold standard for dialysis management.
According to the study, bone or joint pain (62.9%), lack of energy (57.4%), and muscle cramps (49.6%) are the most frequently reported symptoms.
Network analysis identified feeling nervous and worrying as the core symptoms, suggesting that psychological distress significantly influences the overall symptom experience.
Key predictors include being female, living in rural areas, having lower hemoglobin levels, and suffering from more comorbidities.
Disclaimer: This content is for informational and educational purposes only. It does not constitute professional medical advice, diagnosis, or treatment. Always seek the advice of your physician or other qualified health provider with any questions you may have regarding a medical condition. Refer to the latest local and national guidelines for clinical practice.
References
Abdulaziz HMM et al. Decoding hemodialysis patients' symptoms: navigating the complexity. J Nephrol. 2026 May 26. doi: undefined. PMID: 42189593.
Mehrotra R, et al. Management of Symptom Burden in Dialysis Patients: Conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference. Kidney Int. 2023;104(3):441-454.
Chang Y, et al. Identifying core symptom clusters based on symptom distress levels in patients with maintenance hemodialysis: a cross-sectional network analysis. Renal Failure. 2025;47(1):2446723.

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