Real-Time Estimation of Arterial Partial Pressure of Carbon Dioxide in Patients Undergoing General Anesthesia: Predictive Modeling Study.

ABSTRACT:

Background

Adequate ventilation in mechanically ventilated patients is contingent upon the monitoring of the arterial partial pressure of carbon dioxide (PaCO2) during general anesthesia. Despite its significance, continuous monitoring remains challenging due to the imprecision of noninvasive estimations and the invasive nature of traditional methods such as arterial blood gas analysis.

Objective

This study aimed to develop a machine learning model to continuously estimate PaCO2 in mechanically ventilated patients, with the goal of potentially improving intraoperative monitoring accuracy under general anesthesia.

Methods

This retrospective study used the VitalDB dataset from Seoul National University Hospital, comprising records of 6388 noncardiac surgery patients bet

SUBMITTER: Lee AR 

PROVIDER: S-EPMC12439857 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature