Deep Learning Model for Predicting a Peripheral Venous Waveform-based Pulse Pressure Variation

Launched by SEOUL NATIONAL UNIVERSITY BUNDANG HOSPITAL · Dec 12, 2024

Keywords

ClinConnect Summary

This clinical trial is looking at a new way to monitor a patient's response to fluid therapy during surgery, using a special technology called artificial intelligence (AI). Specifically, the researchers want to see if they can use waveforms from peripheral veins (the smaller veins in your arms or legs) to predict important changes in a patient's blood flow without needing to make any invasive arterial punctures. This is important because traditional methods can be uncomfortable and carry risks.

To participate in this trial, patients should be adults aged 19 and older, scheduled for elective liver surgery, and in good health (specifically, classified as ASA 1-3, which means they have no serious health issues). They also need to be non-smokers with normal lung function. If someone joins the trial, they can expect to have their blood flow monitored using this new technique, which aims to be less invasive and more widely applicable for patients undergoing surgery.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Patients who voluntarily agreed and signed the written informed consent form before participating in this study
• • Adult aged 19 years or older
• • American Society of Anesthesiologists physical class (ASA) 1-3
• • Patients scheduled for elective hepatectomy under general anesthesia
• • Patients who require arterial pressure monitoring and additional peripheral venous access for routine anesthesia preparation
• • Non-smokers with normal pulmonary function
• Exclusion Criteria:
• • Patients with abnormal findings on electrocardiogram before surgery
• • Patients who cannot undergo peripheral venous puncture