Laser Acupuncture Improves Fatigue and Quality of Life in Hemodialysis Patients: a Randomized Double-blind Clinical Trial Pilot Study
Laser Acupuncture Improves Fatigue and Quality of Life in Hemodialysis Patients: a Randomized Double-blind Clinical Trial Pilot Study
The goal of this clinical trial is to learn if laser acupuncture (low-level laser therapy) works to treat fatigue and improve quality of life in adults with end-stage renal disease (ESRD) undergoing hemodialysis. It will also learn about how laser acupuncture affects blood circulation and autonomic nervous system balance.
The main questions it aims to answer are:
Participants will:
Scientific Rationale Fatigue is a prevalent and debilitating symptom in patients with end-stage renal disease (ESRD) undergoing maintenance hemodialysis (HD). It is a multidimensional condition influenced by anemia, uremia, and the long-term psychosocial stress of dialysis. Conventional pharmacological treatments often yield limited efficacy for fatigue and sleep disturbances while posing risks of adverse effects. Non-pharmacological interventions, such as acupressure and exercise, have shown potential, but high-quality clinical evidence remains insufficient. Laser acupuncture (LA), or photobiomodulation (PBM), is a non-invasive, non-thermal therapy that applies low-level laser energy to traditional acupuncture points. It is proposed to modulate mitochondrial function, reduce oxidative stress, and inhibit inflammatory responses, offering a safe alternative for patients who may not be suitable for or are fearful of traditional needle acupuncture.
Study Protocol and Intervention This is a randomized, double-blind, sham-controlled pilot trial. A total of 50 participants will be recruited from the hemodialysis center and randomly assigned to either the experimental (LA) group or the sham control group in a 1:1 ratio.
Technical Assessment and Data Analysis
To objectively evaluate the systemic effects of LA on the circulatory and autonomic nervous systems, this study integrates several biomedical engineering technologies:
Statistical analysis will utilize t-tests or Mann-Whitney U tests to compare symptom improvement between groups. Mixed-effects models or Generalized Estimating Equations (GEE) will be employed to evaluate the long-term impact of treatment on blood pressure and microcirculation while controlling for potential confounding factors such as age and dialysis vintage.
Inclusion Criteria:
Exclusion Criteria:
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