Acute Skeletal Muscle Wasting and Relation to Physical Function in Patients Requiring Extracorporeal Membrane Oxygenation (ECMO)

The use of ECMO has increased dramatically in the past decade with improvements in technology and survival. Whilst it is a potentially life-saving intervention in a group of patients at high risk of death, it is both highly invasive and expensive. ECMO poses a dramatic physiological burden on patients with major long-term consequences. Among these, severe prolonged neuromuscular weakness is perhaps the most significant complication. Described clinically as intensive care unit acquired weakness (ICUAW), it is associated with prolonged weaning from mechanical ventilation, delayed rehabilitation, increased hospital length of stay, and mortality with residual deficits in physical functional ability persisting up to 5 years following the ICU admission. The health value, to both patients and society, could be substantially improved if more patients achieved a complete recovery.

Muscle strength testing in the early stages of critical illness is limited, as it requires the patient to be awake, alert and cognitively intact, therefore delayed diagnosis of ICUAW due to inability of patients to complete muscle strength testing is common. Consequently, there is growing interest in the utility of ultrasound imaging to monitor the trajectory of muscle wasting and inform development of targeted interventions in these critically ill patients. Ultrasound imaging of skeletal muscle is a non-invasive, painless and radiation free technique that can provide objective, accurate and reliable data on skeletal muscle in these critically ill patients. This study will use ultrasound imaging to quantify the early change in skeletal muscle size and quality, and the relationship to strength and physical function in patients on ECMO. Risk stratification of patients with peripheral muscle wasting is vital for optimising clinical management, including development of improved rehabilitative strategies to improve recovery and optimise the risk/benefit profile of ECMO.