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
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Insun Park, M.D./Ph.D.
- Phone Number: 82317877499
- Email: pis121@hanmail.net
Study Locations
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Gyunggi-do
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Seongnam-si, Gyunggi-do, Korea, Republic of, 13620
- Seoul National University Bundang Hospital
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
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
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Peripheral waveform collection group
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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).
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Pulse pressure variation
Time Frame: intraoperative period
|
from arterial waveform
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intraoperative period
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Insun Park, M.D./Ph.D., Assistant Professor
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- B-2411-936-303
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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