NCT06734650

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

Development and Validation of a Peripheral Venous Waveform-based Pulse Pressure Variation Calculating Deep Learning Model

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 150 (estimated)
• Sponsor: Seoul National University Bundang Hospital · Academic / Other
• Sex: All
• Age: 19 Years – 80 Years
• Healthy volunteers: Accepted

Summary

Pulse pressure variation is a monitoring index that indicates the response to fluid therapy in patients receiving mechanical ventilation, and is used as a reference for patients with unstable hemodynamic conditions. However, it is invasive because it requires arterial puncture to collect it. In a previous study by the investigators, the investigators developed and verified an artificial intelligence model that predicts stroke volume variation, in real time using only the central venous pressure waveform. However, since a large vein such as the jugular vein must be punctured to collect the central venous pressure waveform, it is still invasive, and its clinical utility is low. Therefore, in this study, the investigators collected waveforms from peripheral veins that are less invasive and can be a wide range of applications because all surgical patients have them. The investigators aimed to develop and verify an artificial intelligence model that predicts pulse pressure variation obtained from peripheral venous waveforms .

Detailed description

In this study, the investigators collected waveforms from peripheral veins that are less invasive and can be a wide range of applications because all surgical patients have them. The investigators aimed to develop and verify an artificial intelligence model that predicts pulse pressure variation obtained from peripheral venous waveforms .

Conditions

• Peripheral Vein
• Arterial Wave Reflections
• Pulse Pressure Variation
• Stroke Volume Variation
• Deep Learning Model

Interventions

Type	Name	Description
OTHER	peripheral waveform collection	The peripheral venous pressure waveform is collected by connecting a pressure transducer that is currently in use to the placed central venous line. In addition, the pulse pressure variation or stroke volume variation value that can be obtained from the arterial catheter. This extracts the medical records and bio-signal information of the subjects registered through the previously approved 'Establishment of a Bio-signal and Clinical Information Registry for the Development of Patient Monitoring Algorithm' study (B-2202-738-401).

Timeline

• Start date: 2024-12-28
• Primary completion: 2025-11-28
• Completion: 2026-11-28
• First posted: 2024-12-16
• Last updated: 2024-12-16

Locations

1 site across 1 country: South Korea