Cardiothoracic & vascular anesthesia
The Role of Sequential Organ Failure Assessment Scores and Perfusion Markers in Predicting Postoperative Complications After Cardiac Surgery
Authors' conclusion
An integrative model combining urgency of surgery, hemoglobin at admission, occult hypoperfusion at admission, and SOFA at 24 hours provides robust day-1 risk stratification after cardiac surgery.
Study context
- Population
- Adults admitted to a cardiac surgery ICU after elective or urgent cardiac surgery, tertiary university-affiliated hospital in Europe
- Participants
- 149 adults
- Outcome
- At least one major postoperative complication
Methodological detailssingle-centre, Perfusion parameters and scores recorded at admission, 6-12 hours and 24 hours
- Single-centre
- Perfusion parameters and scores recorded at admission, 6-12 hours and 24 hours
Main finding
As reported in the abstract
≥1 major postoperative complication: independent predictors (multivariable logistic regression)
Odds ratio (95% CI)P value
Urgency of surgery
7.214(2.13–24.433)
P = 0.001Occult hypoperfusion at admission
5.612(1.30–24.222)
P = 0.021Hemoglobin at admission
0.955(0.926–0.985)
P = 0.004SOFA score at 24 hours
1.470(1.224–1.764)
P < 0.001Observational data: associations, not effects.
Further findings
Base prediction model performance
- AUC
- 0.871
- Hosmer-Lemeshow p
- 0.221
- Nagelkerke R²
- 0.517
Extended model adding ABE at 24 hours
- AUC, no significant improvement in discrimination; modest gains in calibration and explained variance
- 0.875
Sequential Organ Failure Assessment (SOFA) at 24 hours as individual predictor
- AUC (highest among individual variables)
- 0.79
- Sensitivity
- 70.2%
- Specificity
- 74.5%
Original publication
The Role of Sequential Organ Failure Assessment Scores and Perfusion Markers in Predicting Postoperative Complications After Cardiac Surgery. J Cardiothorac Vasc Anesth. Published 24 December 2025. doi:10.
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