OutcomeRisk adjustment for congenital heart surgery: the RACHS-1 method☆
Section snippets
Applying RACHS-1 to specific research questions
RACHS-1 can be used to evaluate differences in mortality among groups of patients within a single dataset, such as variability among institutions. Adjusted mortality rates can be calculated, by correcting observed mortality rates for more or less complex case mixes, in comparison to the average within the dataset. Alternatively, standardized mortality ratios can be calculated as the ratio of the observed deaths over the expected deaths, based on the average performance with similar cases within
Clarification of RACHS-1 risk categories
A major component of RACHS-1 is the grouping of individual types of cardiac procedures with similar risks for in-hospital death together into six risk categories. The risk categories were created by consensus of the panel using collective judgment and actual mortality data from two large datasets. Several important points regarding this component of RACHS-1 should be emphasized. First, a major goal in the development of RACHS-1 was the creation of a tool that would be useful in the assessment
Clarification of other RACHS-1 components
Similar reasoning was used for other case mix exclusions incorporated into the RACHS-1 methodology. Because the purpose of RACHS-1 was to allow comparisons of mortality caused by congenital heart surgical procedures, cases with significant risk factors for death from noncardiac surgical causes, such as premature infants who underwent patient ductus arteriosus ligation, were not included. Similarly, situations where in-hospital mortality differences were less relevant as a basis for comparison,
Limitations in interpretation of analyses using RACHS-1
To appropriately use RACHS-1, it is important to understand that the method was not developed to do true “predictive modeling” for individual cases, but rather to allow meaningful comparisons of mortality for groups of patients undergoing congenital heart surgery. Predictive modeling attempts to assess the actual likelihood that individual patients will die, and might be expected to include numerous distinguishing features of individual cases that alter risk for death. Conditions that occur
RACHS-2
The RACHS-1 method is an excellent research tool with acceptable measurement properties. Because the tool merely requires that certain variables be incorporated into analyses in certain ways, without specifying model parameters, it can be flexibly used to allow risk adjustment in more recent data sets, even though the initial validation was completed using data from 1993 to 1995. Even if risk groups converge as mortality rates decrease, use of the RACHS-1 method will retain validity because
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2022, Progress in Pediatric Cardiology
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Supported in part by grant no. National Heart, Lung, and Blood Institute K08-HL02936.