Neuroanesthesia & neurocritical care
Characterizing drivers of change in intraoperative cerebral saturation using supervised machine learning
Authors' conclusion
CO2 is a significant mediator of changes in rSO2 in an intraoperative setting, through its established effects on cerebral blood flow.
Study context
- Population
- Patients undergoing high risk surgery
- Participants
- 146 patients
- Primary endpoint
- Hierarchy of:
- Hemodynamic
- Ventilatory variables contributing to intraoperative changes in rSO2 (up- vs down-sloping segments, change ≥3% points over 5 min)
Methodological detailsXGBoost classifier, five-fold cross validation
- XGBoost classifier
- Five-fold cross validation
Primary result
As reported in the abstract
Classifier performance and feature importance
Mean accuracy (SD 8.0%)
77.1%
Mean AUC (SD 0.06)
0.86
Original publication
Characterizing drivers of change in intraoperative cerebral saturation using supervised machine learning. J Clin Monit Comput. Published 7 February 2025. doi:10.
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