Algorithm Predicting Intraoperative Changes in Cardiac Output Using Capnography

Samsung Medical Center

Status: Enrolling

Conditions: General Anesthesia Using Endotracheal Intubation

Treatments: Other: No Intervention: Observational Cohort

Study type: Observational

Funder types: Other

Identifiers

NCT07061548

SMC2025-06-120-001

Details and patient eligibility

About

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.

Full description

Anesthesiologists strive to maintain adequate cardiac output during surgery. However, conventional monitoring of cardiac output requires an invasive procedure (risk) and an additional device (cost).

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.

Enrollment: 2,005 estimated patients

Sex: All

Ages: 19 to 75 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

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

Exclusion criteria

• 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

Trial design

2,005 participants in 1 patient group

capnography-cardiac output cohort

Description:

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

Treatment:

Other: No Intervention: Observational Cohort