Cardiothoracic & vascular anesthesia
Multivariable Modeling of Postoperative Risk in Infant Cardiac Surgery: Integrating Clinical Variables and 20 Inflammatory Biomarkers
Authors' conclusion
Inflammatory biomarkers may enhance risk stratification for postoperative outcomes in infant cardiac surgery.
Study context
- Population
- Infants undergoing cardiac surgery with CPB
- Comparison
- Biomarker-Only vs Clinical-Data-Only vs Combined prediction models
- Primary endpoint
- Predictive performance (c-statistic) for AKI, ventilator support duration and inotropic score
Methodological detailsBIC-guided logistic regression, exploratory
- BIC-guided logistic regression
- Exploratory
Primary result
As reported in the abstract
AKI risk prediction (c-statistic)
Biomarker-Only
0.79
c-statistic
Clinical-Data-Only
0.60
c-statistic
Combined
0.78
c-statistic
P < 0.001
Further findings
Ventilator support time prediction (c-statistic of the three models)
- C-statistics for the models
- 0.80, 0.72, and 0.77
- P-contrast
- p-contrast = 0.10
Inotropic score prediction (c-statistic of the three models)
- C-statistics for the models
- 0.83, 0.77, and 0.85
- P-contrast
- p-contrast = 0.007
Original publication
Multivariable Modeling of Postoperative Risk in Infant Cardiac Surgery: Integrating Clinical Variables and 20 Inflammatory Biomarkers. Acta Anaesthesiol Scand. Published 10 June 2025. doi:10.
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