Oxygen saturation in the leg musculature affected by peripheral arterial disease during exercise on an arm ergometer

• Grant number: 22/14412-8
• Support Opportunities: Regular Research Grants
• Start date: November 01, 2023
• End date: October 31, 2025
• Field of knowledge: Health Sciences - Physical Education
• Principal Investigator: Marilia de Almeida Correia
• Grantee: Marilia de Almeida Correia
• Host Institution: Universidade Nove de Julho (UNINOVE). Campus Vergueiro. São Paulo , SP, Brazil
• Associated researchers: Gabriel Grizzo Cucato ; Hélcio Kanegusuku ; Nelson Wolosker ; Raphael Mendes Ritti Dias

Abstract

INTRODUCTION: Studies with arm ergometer (AE) training have shown benefits in the functional capacity of patients with peripheral arterial disease (PAD) bypassing the main barrier to exercise in these patients, pain during walking exercise. The only study that proposed to investigate the mechanism involved in this adaptation observed that chronically training with EB promoted improvement in the oxygen saturation (StO‚) of the leg muscles during walking. However, how arm exercise could improve leg muscle StO‚ remains unknown. OBJECTIVE: To analyze the effects during exercise in AE on the StO‚ of the leg affected by PAD. The secondary objectives are to describe the intensity of leg pain symptoms during the exercise in AE and to analyze the relationship between StO‚ and PAD severity. METHODS: Twenty-four patients with PAD and symptoms of intermittent claudication will be recruited. The exercise session will consist of 15 sets of 2 minutes of exercise in AE with an intensity equivalent to 13-15 on the Borg's perceived exertion scale. During exercise, StO‚ will be evaluated in the limb most affected by the disease, in addition to the subjective perception of effort and affective responses. Assuming data normality, changes in muscle StO‚ parameters during exercise compared to rest will be compared by the paired t test. The relationship between changes in muscle StO2, pain perception and ankle-arm index will be analyzed by Pearson's correlation coefficient. For all analyses, the value of P<0.05 will be considered significant. (AU)