Applications of Ultrasound and Physical Parameters in Assessing Fall Risk in Patients With Knee Osteoarthritis

Overview

Falls are a significant issue for patients with knee osteoarthritis, as they can lead to hospitalization or even more severe consequences. Therefore, it is crucial to assess fall risk early in rehabilitation clinics. Sarcopenia, which is the reduction of muscle mass, increases the risk of falls. This study involved 250 adults with knee osteoarthritis, using a technology called POCUS to assess muscle mass, combined with other tests to track fall incidents over three months. The study is expected to find correlations between falls and factors like muscle mass and grip strength. This information can help doctors better predict which patients are at risk of falling and take preventive measures early. Future research will explore the effectiveness of different prevention strategies.

Background Falls represent a significant health issue for patients with knee osteoarthritis, potentially leading to hospitalization, disability, or even death. Early screening for fall risk in rehabilitation clinics is crucial; however, challenges arise due to time constraints and individual differences among patients. Sarcopenia, characterized by a reduction in muscle mass, is closely associated with an increased risk of falls, and point-of-care ultrasound (POCUS) offers a non-invasive and effective tool for assessing muscle mass. Methods This prospective study involved 250 adults with knee osteoarthritis attending the orthopedic physical therapy outpatient department at National Taiwan University Hospital. POCUS technology was utilized to evaluate muscle mass, complemented by grip strength tests, lower limb strength assessments, self-reported fall risk questionnaires, sarcopenia assessments, get-up-and-go tests, thirty-second sit-to-stand tests, general nutrition screening for malnutrition, and bioimpedance analysis. A three-month follow-up study was conducted to monitor fall incidents. Expected Results During the three-month follow-up, it is anticipated that a certain proportion of participants will experience fall incidents. Significant correlations are expected to be identified between fall incidents and various measurements, including muscle mass assessed by POCUS, grip strength, lower limb strength, self-reported fall risk scores, sarcopenia assessments, get-up-and-go tests, thirty-second sit-to-stand tests, the geriatric nutritional risk index, and bioimpedance analysis. Differences between the fall group and the non-fall group on these variables will also be statistically significant, indicating that the combination of POCUS technology and other clinical assessment indicators enhances the predictive ability regarding fall risk in patients with knee osteoarthritis. Future Clinical Applications The integration of POCUS technology with other clinical assessment indicators may be applied in rehabilitation outpatient settings to screen for fall risk in adults with knee osteoarthritis, facilitating early intervention and prevention. Future research will investigate the effectiveness of various intervention strategies.