AI Based Muscular Ultrasound to Assess Intensive Care Unit-acquired Weakness

Launched by JENA UNIVERSITY HOSPITAL · Jan 3, 2025

Keywords

ClinConnect Summary

This clinical trial is studying how artificial intelligence (AI) can help doctors use ultrasound images to detect and monitor a condition called Intensive Care Unit-acquired Weakness (ICUAW) in critically ill patients. ICUAW is a type of muscle weakness that can occur in patients who have spent time in the intensive care unit. The researchers want to find out if AI can accurately identify certain muscle characteristics through ultrasound and if these findings can help predict how severely someone is affected by ICUAW and their recovery outcomes after 30 and 90 days.

To participate in this study, you need to be at least 18 years old and have undergone major surgery that requires a stay in the ICU for more than one day afterward. Healthy individuals who work in the medical field will also be included as a comparison group. Participants will undergo ultrasound imaging, and the study aims to see if the AI analysis of these images can provide valuable information about muscle health. It’s important to note that people with certain medical conditions or on specific medications may not be eligible to join the study.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Patients aged 18 years or above
• • Major elective surgery, e.g. cardiothoracic or abdominal surgery
• • Expected ICU stay \>1 day postoperatively
• • Healthy, age-machted subjects without ICUAW (recruited from staff of the department of anesthesiology and intensive care medicine)
• Exclusion Criteria:
• • No informed consent
• • Emergency surgery
• • Previous participation in the same study
• • Preexisting neuromuscular disease
• • Preexisting central nervous system disease with residual neuromuscular impairment (e.g. cerebral haemorrhage, stroke, brain tumor)
• • High-dose glucocorticoid therapy (\>300 mg hydrocortisone or equivalent per day) before or during particiation in the study