knee osteoarthritis
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: Patients of both sexes, aged over 60 years, functional independence, diagnosed with knee osteoarthritis; patients with medical referral for physical therapy treatment; absence of severe cardiovascular or musculoskeletal diseases
Exclusion criteria
Exclusion criteria: Patients with knee arthroplasty, contraindication for the use of pressure cuffs or tourniquets, with peripheral vascular disease, who use anticoagulants, will be excluded; history of deep vein thrombosis, congenital lower limb malformations, diagnosis of fibromyalgia; contraindication to exercise
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| We will investigate the effects of different exercise strategies with and without blood flow restriction on neuromuscular adaptations (Maximum dynamic strength, maximum isometric quadriceps strength and joint range of motion) that will be measured through the test and one repetition maximum (1RM) and isokinetic dynamometer (Variables: Time to Acceleration; Time to Peak Torque; Peak Torque; Peak Torque Angle; Time to Deceleration). Pain will be assessed using the Numerical Pain Scale (END), and functionality will be assessed using the Timed Up and Go (TUG) functional tests, sit and stand, 6-minute walk and treadmill test (speed and time to reach 40% of the heart rate reserve) and finally the thickness and muscle quality of the quadriceps femoris will be measured using ultrasound images. We hope that aerobic and strength training programs with blood flow restriction will be effective in increasing muscle mass, strength, improving function, and reducing the perception of knee pain in a similar but superior way to the conventional physical therapy program | — |
Secondary
| Measure | Time frame |
|---|---|
| The time and level of injury will be checked through the medical diagnosis, the level of physical activity by the international physical activity questionnaire (IPAQ);The drugs in use and interactions between them will be identified. Where initially two questionnaires will be used, the first of which will collect information about the name of the drug, dosage, time of use, and medical prescription. A second questionnaire will consist of 13 questions about the frequency of medication use during the last three months. The analysis of the medication volume of each participant will be separated into categories: 1) medications prescribed for osteoarthritis; 2) prescription drugs for other illnesses; 3) non-prescription medications for osteoarthritis; 4) non-prescription drugs for other illnesses and 5) Alternative pharmaceuticals; 6). To identify drug interactions with great clinical relevance, the Drugs.com application will be used, in which drug interactions will be divided into 4 categories: 1) extreme (interaction with great clinical significance). In this category, drug combinations should be avoided, the risks outweigh the benefits; 2) moderate (moderate clinical significance), where the combination of drugs should be avoided and used only in special cases; 3) little (minimal clinical significance), where risks must be minimized, ie, consider alternative treatments or monitor the patient during treatment; 4) unknown, where no interaction information is described in the literature. If these drug interactions are identified, a theoretical framework survey will be carried out on the interaction | — |
Countries
Brazil