Chayanin Angthong1, Andrea Veljkovic2. 1. Department of Orthopedics, Kunakorn Building, Fl.7, Faculty of Medicine, Thammasat University, Klong Luang, 12120, Pathum Thani, Thailand. chatthara@yahoo.com. 2. Foot and Ankle Reconstruction/Arthroscopy and Athletic Injuries Knee and Ankle/Trauma, Department of Orthopaedics, St. Paul's Hospital, The University of British Columbia, Footbridge Clinic221-181 Keefer Place, Vancouver, BC, V6B 6C1, Canada.
Abstract
BACKGROUND: This study aimed to determine the relationships between subjective validated patient-reported outcomes and health-related quality of life, to objective gait characteristics in patients with foot-ankle conditions. Objective gait characteristics were obtained using a wearable foot inertial-sensor device as well as by assessing the relationships between spatiotemporal or gait parameters by analyzing the inter-metric correlations. METHODS: Fifty-two patients with foot-ankle conditions (37 women/15 men, aged 21-75 years) were included in this study. Clinical assessments, including evaluations of validated patient-reported outcomes using visual analog scale foot and ankle score, health-related quality of life using validated Short Form-36, and gait characteristics using a wearable foot inertial-sensor device, were performed and recorded for each patient. RESULTS: A significant negative correlation was observed between the physical component summary (PCS) and maximal cadence (r = - 0.308, P = 0.025). Significant positive correlations were noted between mean walking speed and mean cadence (r = 0.776, P < 0.001) and between maximal walking speed and mean step length (r = 0.498, P < 0.001). Significant negative correlations were found between the mean cadence and mean step length (r = - 0.491, P < 0.001) and between maximal cadence and mean step length (r = - 0.355, P = 0.009). CONCLUSIONS: Cadence is an important objective spatiotemporal parameter to assess in foot and ankle patients as it relates well to outcome, with a significantly negatively correlation to subjectively reported PCS in health-related quality of life. Based on inter-metric relationships, an increased cadence might be used to maintain walking speed as a compensatory mechanism in patients with foot-ankle conditions.
BACKGROUND: This study aimed to determine the relationships between subjective validated patient-reported outcomes and health-related quality of life, to objective gait characteristics in patients with foot-ankle conditions. Objective gait characteristics were obtained using a wearable foot inertial-sensor device as well as by assessing the relationships between spatiotemporal or gait parameters by analyzing the inter-metric correlations. METHODS: Fifty-two patients with foot-ankle conditions (37 women/15 men, aged 21-75 years) were included in this study. Clinical assessments, including evaluations of validated patient-reported outcomes using visual analog scale foot and ankle score, health-related quality of life using validated Short Form-36, and gait characteristics using a wearable foot inertial-sensor device, were performed and recorded for each patient. RESULTS: A significant negative correlation was observed between the physical component summary (PCS) and maximal cadence (r = - 0.308, P = 0.025). Significant positive correlations were noted between mean walking speed and mean cadence (r = 0.776, P < 0.001) and between maximal walking speed and mean step length (r = 0.498, P < 0.001). Significant negative correlations were found between the mean cadence and mean step length (r = - 0.491, P < 0.001) and between maximal cadence and mean step length (r = - 0.355, P = 0.009). CONCLUSIONS: Cadence is an important objective spatiotemporal parameter to assess in foot and ankle patients as it relates well to outcome, with a significantly negatively correlation to subjectively reported PCS in health-related quality of life. Based on inter-metric relationships, an increased cadence might be used to maintain walking speed as a compensatory mechanism in patients with foot-ankle conditions.
Authors: Nicolas Bayle; Amar S Patel; Diana Crisan; Lanjun J Guo; Emilie Hutin; Donald J Weisz; Steven T Moore; Jean-Michel Gracies Journal: PLoS One Date: 2016-04-25 Impact factor: 3.240
Authors: Ralph Jasper Mobbs; Jordan Perring; Suresh Mahendra Raj; Monish Maharaj; Nicole Kah Mun Yoong; Luke Wicent Sy; Rannulu Dineth Fonseka; Pragadesh Natarajan; Wen Jie Choy Journal: Mhealth Date: 2022-01-20