Category: Technology (e.g. robotics, assistive technology, mHealth); Complementary Integrative Rehabilitation Medicine; Clinical Practice (assessment, diagnosis, treatment, knowledge translation/EBP, implementation science, program development)
To compare effects of RT vs TT on pain, knee joint space(JS), muscle imbalance(MI), suprapatellar effusion(SE), and muscle strength in OA.
Randomized control trial with a two-group pre-test/post-test design.
Setting : A senior community center.
Participants (or Animals, Specimens, Cadavers) : Forty individuals with medial compartment knee OA(35 females; mean age = 78.5 ± 9.1) included and randomly allocated to either RT or TT.
Important inclusion criteria encompassed: diagnosed with mild to moderate OA(Kellgren & Lawrence grades II or III), aged between 55–85 years old, or no history of knee surgery.
All participants underwent 30 minutes/day, 3 times/week over 4 weeks. RT involves a weight adjusted and corrective gait retraining(with "optimized kinematics pattern") using a specialized robotic system whereas TT involves a consistent walking on the treadmill.
Main Outcome Measure(s) :
Outcome measures entailed pain with visual analogue scale(VAS), muscle strength with dynamometer; vastus lateralis (VL), medialis (VM), semitendinous(ST), biceps femoris(BF) with electromyogram(EMG), as well as JS and SE with ultrasound imaging, respectively.
ANCOVA demonstrated that RT had superior effects on pain, muscle strength (hip extension, external rotation, internal rotation, knee flexion, extension), and medial knee JS than TT (p p=0.053).
The present investigation highlights the first clinical trial that demonstrated more advantageous therapeutic effects on pain modulation, restoration of muscle strength, and increase in medial knee JS in individuals with medial compartment OA. These promising results provide important clinical insights when designing effective intervention strategies for OA. However, a further research is warranted to ascertain the underlying neuromechanical rationale associated with this novel robotic intervention with more sample size and different degree of OA severity in order to generalize our findings.
HaEun Park– Researcher, Yonsei University, Wonju-si, Kangwon-do
Jiwon Shin– Researcher, Yonsei University, Wonju-si, Kangwon-do
Ohyun Kwon– Professor, Yonsei University, Wonju-si, Kangwon-do
Hye-Seon Jeon– Professor, yonsei univ., Wonju, Kangwon-do
Woochol Choi– Professor, Yonsei University, Wonju-si, Kangwon-do
Youngjoo Cha– Assistant Professor, Daegu University, Wonju-si, Kangwon-do
Chung-hwi Yi– Professor, Yonsei University, Wonju-si, Kangwon-do
Sunghyun You– Professor, Yonsei University, Wonju-si, Kangwon-do