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Light Therapy on Pain and Synovitis

T

The Hong Kong Polytechnic University

Status

Enrolling

Conditions

Synovitis of Knee
Knee Pain Chronic
Light Therapy

Treatments

Device: Sham Light Therapy
Device: 810 nm Light Therapy

Study type

Interventional

Funder types

Other

Identifiers

NCT07057063
HSEARS20230214003 PolyU

Details and patient eligibility

About

Background: Knee pain is a common complaint among middle-aged and older adults, often leading to reduced mobility and diminished quality of life. Synovitis is a major underlying cause, present in up to 80% of individuals with moderate knee pain. While light therapy has shown anti-inflammatory and analgesic effects in preclinical studies, our prior animal experiments revealed that light therapy at 810 nm significantly alleviated inflammation and pain-like behaviors. These findings suggest a potential wavelength-specific therapeutic effects. However, it remains unclear whether such effects can be replicated in humans. This study aims to evaluate the efficacy of 810 nm light therapy, compared to sham treatment, in reducing knee pain and synovitis in patients with chronic knee pain and knee synovitis.

Methods/design:

This is a randomized, placebo-controlled clinical trial involving 90 participants with chronic knee pain and ultrasound-detected synovitis. Participants will be randomized into two groups to receive 810 nm light therapy, or sham therapy, delivered twice weekly over five weeks. Primary outcomes include knee pain assessed by the Visual Analogue Scale (VAS) and synovitis assessed by ultrasound. Secondary outcomes include the Knee injury and Osteoarthritis Outcome Score (KOOS), the 30-second chair stand test, and the 40-meter fast-paced walk test. Outcome assessments will be performed at baseline, post-intervention (week 5), and at 1 month and 6 months after treatment completion. Linear mixed-effects models will be used to compare outcome changes between groups.

Discussion:

This trial will assess whether 810 nm light therapy provides clinically meaningful benefits for reducing knee pain and synovitis in humans, building on promising preclinical findings. Results from this study may support the use of near-infrared light as a safe, non-invasive, and effective intervention for synovitis-related knee pain.

Enrollment

80 estimated patients

Sex

All

Ages

40 to 80 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Participants aged between 40 and 80 years
  • Able to provide written informed consent
  • Have experienced knee pain that persists or recurs for more than 3 months
  • A knee pain score of at least 30 mm on the 100-mm Visual Analogue Scale (VAS) during the past week
  • Ultrasound-measured knee synovitis ≥1
  • Presence of knee OA according to criteria established by the American College of Rheumatology

Exclusion criteria

  • Anticipated need for knee surgery within the next one year
  • Previous or planned knee replacement within the next one year
  • Knee surgery or other physical therapy in the previous 3 months
  • Use of intra-articular, intra-muscular, or oral corticosteroids in previous 4 weeks
  • Malignant tumors or other life-threatening diseases
  • Severe mental disorders, including but not limited to schizophrenia, bipolar disorder, or major depressive disorder, that may interfere with the participant's ability to comply with the study protocol or provide informed consent

Trial design

Primary purpose

Treatment

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Triple Blind

80 participants in 2 patient groups, including a placebo group

810 nm Light Therapy Group
Experimental group
Description:
Participants receive 810 nm light therapy using a wearable device, twice per week for 5 weeks.
Treatment:
Device: 810 nm Light Therapy
Sham Therapy Group
Placebo Comparator group
Description:
Participants receive sham therapy with the same device that emits no therapeutic light, twice per week for 5 weeks.
Treatment:
Device: Sham Light Therapy

Trial contacts and locations

2

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Central trial contact

Tianxiang Fan, PhD candidate

Data sourced from clinicaltrials.gov

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