Race, Preoperative Risk Factors, and Death After Surgery

Abstract

Background and objectives: African American children are more than twice as likely to die after surgery compared with white children. In this study, we evaluated whether risk factors for death after surgery differ for African American and white children, and we also assessed whether race-specific risk stratification models perform better than non-race-specific models.

Methods: The National Surgical Quality Improvement Program Pediatric Participant Use Data File contains clinical data on operations performed on children at participating institutions in the United States. Variables predictive of death within 30 days of surgery were analyzed for differences in prevalence and strength of association with death for both African American and white children. Classification tree and network analysis were used.

Results: Network analyses revealed that the prevalence of preoperative risk factors associated with death after surgery was significantly higher for African American than for white children. In addition, many of the risk factors associated with death after surgery carried a higher risk when they occurred in African American children. Race-specific risk models provided high accuracy, with a specificity of 94% and a sensitivity of 83% for African American children and a specificity of 96% and a sensitivity of 77% for white children, and yet these 2 models were significantly different from each other.

Conclusions: Race-specific models predict outcomes after surgery more accurately compared with non-race-specific models. Identification of race-specific modifiable risk factors may help reduce racial disparities in surgery outcome.