Key result
The STS-EACTS complexity scoring model demonstrated superior discrimination compared to RACHS-1 for predicting hospital mortality (AUC 0.870, p=0.015) and prolonged ICU stay (AUC 0.759, p=0.046).
Why the study?
Does the STS-EACTS complexity scoring model predict outcomes better than RACHS-1 and ABC models in children undergoing surgery for congenital heart disease?
Observational (n=920)
Does the STS-EACTS complexity scoring model predict outcomes better than RACHS-1 and ABC models in children undergoing surgery for congenital heart disease?
Effect estimate: AUC 0.870 for mortality, 0.759 for prolonged ICU stay
p-value: p=0.015 for mortality, 0.046 for prolonged ICU stay
The STS-EACTS risk stratification model provides superior discriminative power for predicting prolonged ICU stay and hospital mortality in pediatric congenital heart surgery compared to RACHS-1 and ABC models.
May support STS-EACTS for risk stratification in pediatric cardiac surgery; hypothesis-generating and requires prospective validation.
Objective The objective of the study was to compare Risk Assessment for Congenital Heart Surgery (RACHS-1), Aristotle Basic Complexity (ABC) and Society of Thoracic Surgeons – European Association for Cardiothoracic Surgery (STS-EACTS) complexity scoring models for predicting outcome after surgery for congenital heart disease. Methods This retrospective study included children <18 years. Procedures were categorized based on RACHS-1, ABC and STS-EACTS system. Outcome indicators were prolonged length of ICU stay (upper 25th percentile) and hospital mortality. The stratification models were tested for calibration using Hosmer‑Lemeshow modification of chi-square test and for discrimination using Receiver Operating Characteristic (ROC) curve. Area under the curve (AUC) of individual ROC curves was compared using z-statistics. Results The study included 920 patients. All 3 models showed good fit for both prolonged ICU stay and mortality on calibration. STS-EACTS outclassed RACHS-1 and ABC models with AUC of 0.759 for prolonged PLOS and 0.870 for hospital mortality. AUC of ROC curve for STS-EACTS was significantly higher than RACHS-1 model for both prolonged PLOS (p – 0.046) and hospital mortality (p – 0.015). No significant difference was observed between the AUC of ROC curves of other models. Conclusion Risk stratification for pediatric heart surgery is a useful tool to predict the outcome. STS-EACTS risk stratification model has the best discriminative power.
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Alam et al. (2018) conducted an observational in congenital heart disease (n=920). STS-EACTS complexity scoring model vs. RACHS-1 and ABC complexity scoring models was evaluated on Prolonged length of ICU stay (upper 25th percentile) and hospital mortality (AUC 0.870 for mortality, 0.759 for prolonged ICU stay, p=0.015 for mortality, 0.046 for prolonged ICU stay). The STS-EACTS complexity scoring model demonstrated superior discrimination compared to RACHS-1 for predicting hospital mortality (AUC 0.870, p=0.015) and prolonged ICU stay (AUC 0.759, p=0.046).
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