Continuous noninvasive blood gas estimation in critically ill pediatric patients with respiratory failure.

ABSTRACT: Patients supported by mechanical ventilation require frequent invasive blood gas samples to monitor and adjust the level of support. We developed a transparent and novel blood gas estimation model to provide continuous monitoring of blood pH and arterial CO₂ in between gaps of blood draws, using only readily available noninvasive data sources in ventilated patients. The model was trained on a derivation dataset (1,883 patients, 12,344 samples) from a tertiary pediatric intensive care center, and tested on a validation dataset (286 patients, 4030 samples) from the same center obtained at a later time. The model uses pairwise non-linear interactions between predictors and provides point-estimates of blood gas pH and arterial CO₂ along with a range of prediction uncertai

SUBMITTER: Dong J 

PROVIDER: S-EPMC9198060 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature