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Published on: July 18, 2014
RACHS - ANZ : A Modified Risk Adjustment in Congenital Heart Surgery Model for Outcome Surveillance in Australia and
Brent McSharry1, Lahn Straney2, Janet Alexander3
11 Paediatric Intensive Care Unit Starship Children's Hospital Auckland New Zealand.
Insights
A new Risk Adjustment for Congenital Heart Surgery (RACHS) model for Australia and New Zealand (ANZ) accurately predicts pediatric cardiac surgery mortality, outperforming the original RACHS-1 model. This RACHS-ANZ model improves outcomes monitoring for pediatric heart surgery patients.
Area of Science:
- Cardiology
- Pediatric Surgery
- Public Health
Background:
- Pediatric cardiac surgery outcomes are often based on voluntary international data.
- Population-based outcomes for all children within a region are less frequently reported.
- Accurate outcome prediction is crucial for improving pediatric cardiac surgery care.
Purpose of the Study:
- To describe bi-national, population-based outcomes for pediatric cardiac surgery in Australia and New Zealand.
- To evaluate the accuracy of the Risk Adjustment for Congenital Heart Surgery (RACHS) classification in predicting in-hospital mortality.
- To develop and validate an improved predictive model for this specific population.
Main Methods:
- Analysis of 14,324 hospital admissions for pediatric cardiac surgery in Australia and New Zealand (2007-2015).
- Assessment of the original RACHS-1 model's calibration and discrimination.
- Development and validation of a new RACHS-ANZ model using 3 additional risk variables.
Main Results:
- Overall hospital mortality was 2.3%, varying significantly by RACHS category (0.5% for category 1 to 17.0% for categories 5/6).
- The original RACHS-1 model overpredicted mortality (1161 predicted vs. 289 observed deaths).
- The RACHS-ANZ model demonstrated superior performance with excellent discrimination (Az-ROC 0.830) and good fit (P=0.216).
Conclusions:
- The standard RACHS-1 model overestimates mortality in contemporary pediatric cardiac surgery.
- The developed RACHS-ANZ model offers improved accuracy and broader applicability for predicting in-hospital mortality.
- The RACHS-ANZ model is suitable for monitoring regional pediatric cardiac surgery outcomes effectively.
Abstract:
Background Outcomes for pediatric cardiac surgery are commonly reported from international databases compiled from voluntary data submissions. Surgical outcomes for all children in a country or region are less commonly reported. We aimed to describe the bi-national population-based outcome for children undergoing cardiac surgery in Australia and New Zealand and determine whether the Risk Adjustment for Congenital Heart Surgery ( RACHS ) classification could be used to create a model that accurately predicts in-hospital mortality in this population. Methods and Results The study was conducted in all children's hospitals performing cardiac surgery in Australia and New Zealand between January 2007 and December 2015. The performance of the original RACHS -1 model was assessed and compared with an alternative RACHS - ANZ (Australia and New Zealand) model, developed balancing discrimination with parsimonious variable selection. A total of 14 324 hospital admissions were analyzed. The overall hospital mortality was 2.3%, ranging from 0.5% for RACHS category 1 procedures, to 17.0% for RACHS category 5 or 6 procedures. The original RACHS -1 model was poorly calibrated with death overpredicted (1161 deaths predicted, 289 deaths observed). The RACHS - ANZ model had better performance in this population with excellent discrimination (Az- ROC of 0.830) and acceptable Hosmer and Lemeshow goodness-of-fit ( P=0.216). Conclusions The original RACHS -1 model overpredicts mortality in children undergoing heart surgery in the current era. The RACHS - ANZ model requires only 3 risk variables in addition to the RACHS procedure category, can be applied to a wider range of patients than RACHS -1, and is suitable to use to monitor regional pediatric cardiac surgery outcomes.
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