Download PDFOpen PDF in browserQUIT: Quadriceps Inhibition Trends after knee arthroplasty5 pages•Published: December 17, 2024AbstractThis study investigates quadriceps inhibition trends after total knee arthroplasty (TKA). Eighteen patients undertook perioperative physiotherapy using Sliderâ, a Class 1 medical device that measures forces and knee motion. Sliderâ monitors and uses gamification to encourage users to do knee exercises at home while displaying the results on their tablet. The results are sent securely to their clinician with exception notification. Perioperative changes in the straight leg raise (SLR), inner range quadriceps (IRQ), and knee flexion lying (KFL) exercises were analyzed. After starting Sliderâ two patients declined surgery because their knee pain had decreased, two moved away, two were cancelled for medical reasons, and twelve had TKA. Two patients developed infections and abnormal trends in the results of the knee exercises were detected by the Sliderâ algorithm before the patients’ clinic appointments. The curves of perioperative results of patients who had no infection were J-shaped (concave) postoperatively, while those of the patients with infections were m-shaped (double-convex). These objective findings are consistent with clinical experience of quadriceps inhibition occurring due to fluid accumulation following infection. In the infected patients, Sliderâ’s algorithm enabled timely alerts to the patients’ clinics and early intervention. One had a successful washout, the other needed a revision. Larger studies on Sliderâ are needed to provide statistically significant characterization of anomalies to support clinical decisions.Keyphrases: ai, exergames, gamification, hospital at home, inner range quads, knee, knee arthroplasty, knee flexion, knee osteoarthritis, knee replacement, machine learning, quadriceps inhibition, rehabilitation, straight leg raise, telemedicine, telerehabiitation, total knee replacement infection In: Joshua W Giles and Aziliz Guezou-Philippe (editors). Proceedings of The 24th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 7, pages 197-201.
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