Pre-operative Characteristics for Prediction of Supraglottic Airway Failure Using Machine Learning (ERICA)

Launched by UNIVERSITY HOSPITAL ULM · Sep 25, 2024

Keywords

ClinConnect Summary

The ERICA trial is studying how to better predict which patients might need a different type of airway support during general anesthesia. Supraglottic airway devices (SGA) are commonly used to help patients breathe safely during surgery, but in a small number of cases, they may not work as expected, leading to the need for a tracheal tube instead. Researchers are using advanced computer techniques, known as artificial intelligence, to analyze information collected before surgery to see if they can identify patients at higher risk for this issue.

To participate in this trial, individuals must be adults aged 18 or older who are scheduled for non-cardiac surgeries requiring general anesthesia with an SGA. There are no specific exclusion criteria, meaning most adults who meet the age requirement and are having the right type of surgery can be considered. Participants will provide information during their pre-surgery visits, which will be used to help develop the prediction model. This research aims to improve patient safety and outcomes during anesthesia.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Adult patients (≥18 years) receiving general anaesthesia for non-cardiac surgery with a supraglottic airway device
• Exclusion Criteria:
• • None