Gait speed is suggested as an independent predictor of post-operative morbidity and mortality in elderly cardiovascular disease (CVD) patients. Society of thoracic surgeons has recently classified gait speed as the only important indicator of health for CVD patients. It has been seen that patients with slow gait speed above 70 years of age, taking more than 6 seconds to walk 5 meters are particularly at high risk for adverse outcomes. Twelve young participants walked in their self-selected, slow and fast speed with five reflective markers at sternum and heels and toes of both feet in laboratory environment. A smartphone was affixed at the pelvis using a smartphone holster. Simultaneously, an examiner used stopwatch to record the elapsed time necessary to cross 5 meter distance. Smartphone based app also computed gait speed. Intra-class correlation coefficients comparing velocities from camera system, smartphone and stopwatch systems were found to be highly reliable (ICC (3,k)=0.82) for slow walking speed. Similarly, fairly good reliability were found for fast (ICC(3,k)=0.70) and normal walking speed (ICC(3,k)=0.66). Five CVD patients were tested in clinical environment with smartphone and its feasibility was assessed for gait speed. This study shows that the smartphone and stopwatch gait speed methods have clinically acceptable agreement for the measurement of gait velocity in the two different environments. The smartphone based reliable measurements could help patients on their own to assess operative risks and health during perioperative period.
Bibliography Soangra, R. and T. E. Lockhart. "Agreement in gait speed from smartphone and stopwatch for five meter walk in laboratory and clinical environments." In Biomedical Sciences Instrumentation, vol. 50, pp. 254-264. Research Triangle Park, NC: International Society of Automation, 2014. PMID: 25405433
R. Soangra and T. E. Lockhart, "Agreement in gait speed from smartphone and stopwatch for five meter walk in laboratory and clinical environments," in Biomedical Sciences Instrumentation, vol. 50 (Research Triangle Park, NC: International Society of Automation, 2014), 254-264. PMID: 25405433
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