Myocardial infarction (MI) remains a primary contributor to long-term disability and cardiovascular death. After MI, patients typically experience reduced cardiorespiratory fitness, poor exercise tolerance, and diminished quality of life (QOL). Conventional rehabilitation using cycle ergometer training is well-established in improving VO₂ peak and functional capacity, yet it often neglects upper-limb reconditioning, which plays a crucial role in performing everyday tasks. Emerging evidence suggests that combining arm and leg ergometer endurance training offers a more comprehensive rehabilitation strategy by engaging a greater muscle mass, enhancing systemic oxygen delivery, and improving both upper- and lower-limb functionality. While upper-limb ergometry has demonstrated physiological benefits in COPD, coronary artery disease, and heart failure populations, it remains underutilized in post-MI rehabilitation protocols. The aim of the study is to compare the effects of combined arm leg ergometer endurance training versus cycle ergometer endurance training on cardiorespiratory fitness, exercise tolerance, and quality of life in patients with post-myocardial infarction. This study will be a randomized clinical trial. A non-probability convenience sampling method will be used. The study will be conducted at the Cardiac Rehab Unit, Cardiac Centers, and Hospitals, Pakistan. Patients will be selected according to the inclusion and exclusion criteria.
Data will be collected by three primary outcomes: cardiorespiratory fitness (measured by VO₂ peak), exercise tolerance (6-minute walk test), and quality of life (MacNew HRQOL questionnaire). A total of 40 medically stable post-MI patients will be recruited and randomized into two groups. Group A will participate in Combined Arm-Leg Ergometer Training, while Group B will receive Cycle Ergometer Training. Each session will last 30 minutes with a warm-up and cool-down period, which will be held 3 times per week for 6 weeks. Outcome measures will be taken at baseline and week 6. Data analysis will be done bySPSS version 25.
