Heart Rate Variability Biofeedback Efficacy on Fatigue and Energy Levels in Fibromyalgia: A Secondary Analysis of RCT NCT0412183.
Mauro Giovanni CartaGiulia CossuDiego PrimaveraCésar Iván Avilés GonzálezGiorgia TestaSerena StocchinoGabriele FincoMaria Teresa LitteraMaria Cristina DeiddaStefano LorraiClelia MadedduAntonio Egidio NardiFederica SancassianiPublished in: Journal of clinical medicine (2024)
Background : Fibromyalgia syndrome (FMs) is a chronic condition characterized by widespread musculoskeletal pain and a range of complex symptoms, with chronic fatigue being a central feature significantly impacting daily life. The aim of this study was to analyze the secondary outcomes, specifically those related to perceived energy and fatigue symptoms in a randomized controlled trial (RCT) assessing the efficacy of heart rate variability biofeedback (HRV-BF) as an adjunctive treatment for FMs. Methods : Sixty-four FMs patients were randomly assigned to either receive 10 HRV-BF training sessions alongside standard pharmacological therapy (experimental group) or standard therapy alone for 10 weeks (control group). For this secondary analysis, potential improvements in specific items were evaluated regarding perceived energy (Item 10 of the Short-Form Health Survey), the ability to walk and climb stairs (Item 7 and Item 11 of the Fibromyalgia Impact Questionnaire, respectively), and the impact of pain on movement ability (Item 17 of the Bodily and Emotional Perception of Pain). Results : The experimental group demonstrated an improvement in the perception of energy, the ability to walk, and the impact of pain on movement ability. However, the same improvement was not observed in the ability to climb stairs. Conclusions : Fatigue assessment has emerged as a crucial factor for evaluating treatment efficacy in FMs and related conditions linked to altered energy levels, such as bipolar depression, and can offer valuable insights for precisely guiding HRV-BF treatments. ClinicalTrials.gov with code: NCT04121832.
Keyphrases
- heart rate variability
- tyrosine kinase
- sleep quality
- chronic pain
- heart rate
- pain management
- psychometric properties
- depressive symptoms
- neuropathic pain
- physical activity
- social support
- end stage renal disease
- mental health
- newly diagnosed
- deep learning
- type diabetes
- chronic kidney disease
- stem cells
- blood pressure
- adipose tissue
- postoperative pain
- spinal cord injury
- risk assessment
- case report
- weight loss
- cell therapy
- bone marrow
- mesenchymal stem cells
- virtual reality
- human health