Algorithm Predicting Intraoperative Changes in Cardiac Output Using Capnography

NCT07061548 | Recruiting

• 1 other identifier: SMC2025-06-120-001
• Study Type: observational
• Target: 2,005
• Locations: 1 country
• Sites: 1

Brief Summary

Conventional monitoring of cardiac output requires an invasive procedure and an additional device, which can lead to increased risk and cost. Investigators developed an artificial intelligence algorithm to predict intraoperative changes in cardiac output using capnography in patients undergoing surgery under general anesthesia.

Conditions

General Anesthesia Using Endotracheal Intubation

Keywords

artificial intelligence; general anesthesia; capnography; cardiac output

Outcome Measures

Primary Outcomes (1)

• Predictability of algorithm

  The performance of the algorithm to predict whether cardiac output has decreased by more than 20% compared to 5 minutes ago. Predictability is estimated by area under the receiver-operating characteristic curve analysis.

  Every time points with interval of 5 minutes during surgery

Study Arms (1)

capnography-cardiac output cohort

Adult patients who underwent surgery under general anesthesia with capnography and invasive arterial blood pressure monitor

Other: No Intervention: Observational Cohort

Interventions

No Intervention: Observational Cohort OTHER

No intervention

capnography-cardiac output cohort

Eligibility Criteria

• Age: 19 Years - 75 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Adult patient who underwent surgery under general anesthesia in Samsung Medical Center, Seoul, South Korea

You may qualify if:

• Elective surgery under general anesthesia
• Adult patients (18 \< age \< 76)
• Patients who were monitored invasive arterial blood pressure (waveform) and capnography (numeric)

You may not qualify if:

• Emergency surgery
• 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

Sponsors & Collaborators

• Samsung Medical Center: lead

Study Sites (1)

Samsung Medical Center

Seoul, 06351, South Korea

RECRUITING

Central Study Contacts

Heejoon Jeong, MD

CONTACT

+82-2-3410-0841; heejoonjeong@skku.edu

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Clinical Assistant Professor

Study Record Dates

• First Submitted: July 2, 2025
• First Posted: July 11, 2025
• Study Start: July 3, 2025
• Primary Completion: December 31, 2025
• Study Completion: December 31, 2025
• Last Updated: July 18, 2025

Record last verified: 2025-07

Locations

KR (1)