Algorithm Predicting Intraoperative Changes in Cardiac Output Using Capnography
NCT ID: NCT07061548
Last Updated: 2025-07-18
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
2005 participants
OBSERVATIONAL
2025-07-03
2025-12-31
Brief Summary
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Detailed Description
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Because most surgeries are performed without any invasive monitors, anesthesiologists must manage the patients without cardiac output information.
However, modern anesthesia machines usually provide capnography, and continuous capnography monitoring can help estimate changes in cardiac output. Therefore, investigators aim to develop an artificial intelligence algorithm to predict intraoperative changes in cardiac output using capnography in patients undergoing surgery under general anesthesia.
Investigators train a model using capnography data (5-minute duration) related to a 20% or greater decrease in cardiac output during the same period. The developed model can provide an alarm for a decrease in cardiac output based on the change in capnography.
Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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capnography-cardiac output cohort
Adult patients who underwent surgery under general anesthesia with capnography and invasive arterial blood pressure monitor
No Intervention: Observational Cohort
No intervention
Interventions
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No Intervention: Observational Cohort
No intervention
Eligibility Criteria
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Inclusion Criteria
* Adult patients (18 \< age \< 76)
* Patients who were monitored invasive arterial blood pressure (waveform) and capnography (numeric)
Exclusion Criteria
* Cardiovascular and thoracic surgery
* Known Asthma and Chronic obstructive pulmonary disease (COPD)
* Preoperative pulmonary function test (PFT) abnormality over moderate grade
* Intraoperative monitoring duration less than 30 minutes
19 Years
75 Years
ALL
No
Sponsors
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Samsung Medical Center
OTHER
Responsible Party
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Heejoon Jeong
Clinical Assistant Professor
Locations
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Samsung Medical Center
Seoul, , South Korea
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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SMC2025-06-120-001
Identifier Type: -
Identifier Source: org_study_id
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