NCT06755463
Acupressure in MS Patients
Not Yet Recruiting · Not Applicable · Abant Izzet Baysal University · registry updated 2025-03-20
Inclusion and exclusion lines below are quoted from ClinicalTrials.gov. No match score is shown, because a score needs a person's age, biomarkers, and treatment dates. Confirm the record with the study team.
This study aims to evaluate the effects of acupressure therapy on patients with Multiple Sclerosis (MS). MS is a chronic autoimmune disease affecting the central nervous system, characterized by inflammation, demyelination, and nerve damage. Patients often experience symptoms such as fatigue, muscle weakness, pain, depression, anxiety, and cognitive impairment, which lower their quality of life and make daily activities challenging. In addition to conventional treatments, complementary therapies can help alleviate these symptoms. Acupressure is a non-invasive technique that involves applying pressure to specific points on the body to regulate energy flow, without using needles. This research investigates the effects of acupressure on beta-endorphin and hypocretin levels, cognitive functions, and patient-reported symptoms in MS patients. Beta-endorphin is known as a natural pain reliever, while hypocretin plays a role in regulating sleep-wake cycles and energy levels. The study hypothesizes that acupressure can increase the levels of these biochemical substances, improving pain, fatigue, and cognitive functions....
Inclusion
- Presence of an MS diagnosis confirmed by a neurologist based on the McDonald criteria.
- Having the RRMS subtype.
- Diagnosed with MS for at least one year.
- Individuals aged 18-65 years.
- An EDSS score between 0 and 5, indicating mild to moderate disability.
- No use of steroid therapy or discontinuation of steroid therapy at least 3 months prior to participation.
Exclusion
- Presence of any open wounds or deformities at the application site.
- Presence of neurodegenerative or neuropsychiatric disorders such as - Parkinson's or Alzheimer's, which may potentially confound the study results.
- Pregnant or breastfeeding women, due to hormonal changes that may affect outcomes.
- Presence of severe cardiovascular, pulmonary, hepatic, renal, or psychiatric diseases.