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| Optimal parameters of blood flow restriction and resistance training on quadriceps strength and cross-sectional area and pain in knee osteoarthritis |
| Mahmoud WS, Osailan A, Ahmed AS, Elnaggar RK, Radwan NL |
| Isokinetics and Exercise Science 2021;29(4):393-402 |
| clinical trial |
| 6/10 [Eligibility criteria: No; Random allocation: Yes; Concealed allocation: Yes; Baseline comparability: Yes; Blind subjects: No; Blind therapists: No; Blind assessors: Yes; Adequate follow-up: Yes; Intention-to-treat analysis: No; Between-group comparisons: Yes; Point estimates and variability: No. Note: Eligibility criteria item does not contribute to total score] *This score has been confirmed* |
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BACKGROUND: Knee osteoarthritis (KOA) is one of the most common chronic diseases impacting millions of elderly people. OBJECTIVES: The study compared the effects of two intensities of partial blood flow restriction (BFR) with low-intensity resistance training on quadriceps strength and cross-sectional area (CSA), and pain in people with knee osteoarthritis (PwKOA). METHODS: Thirty-five PwKOA, aged 50 to 65, participated. Quadriceps CSA was measured by ultrasonography, quadriceps strength - by isokinetic dynamometry and pain by VAS. These outcome variables were obtained at the beginning of the study and re-evaluated eight weeks after the intervention. RESULTS: An interaction effect was present for quadriceps CSA (p = 0.042) and quadriceps strength (p = 0.006), showing that using 70% of total occlusion pressure with 30% 1RM had a more significant effect. Knee pain improved significantly through the main effect of BFR (p < 0.001), and low-intensity resistance training (p = 0.011). Pain improved more at 70% of total occlusion pressure, with 30% of 1RM (2.5 +/- 1.06) than 50% total occlusion pressure with 10% of 1RM (5.77 +/- 1.46). CONCLUSION: A combination of 70% of total occlusion pressure with 30% 1RM could be beneficial in PwKOA in improving pain, and increasing the quadriceps strength. The changes in the quadriceps strength could be a predictor for knee pain.
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