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Updated: Feb 15, 2026

A Personalized 3D-Printed Model for Preoperative Evaluation in Thyroid Surgery
Published on: February 17, 2023
Race, Preoperative Risk Factors, and Death After Surgery
Oguz Akbilgic1,2, Max Raymond Langham3, Robert Lowell Davis4
1UTHSC-ORNL Center for Biomedical Informatics, and oakbilg1@uthsc.edu.
Insights
African American children face higher surgical death risks. Race-specific models accurately predict outcomes, potentially reducing disparities by identifying unique risk factors.
Area of Science:
- Pediatric Surgery Outcomes
- Health Disparities Research
- Surgical Risk Stratification
Background:
- African American children experience over double the mortality rate post-surgery compared to white children.
- Existing research indicates potential differences in surgical risk factors between racial groups.
Purpose of the Study:
- To investigate if risk factors for surgical mortality differ between African American and white children.
- To determine if race-specific risk stratification models outperform general models in predicting surgical outcomes.
Main Methods:
- Utilized the National Surgical Quality Improvement Program Pediatric Participant Use Data File.
- Analyzed variables predicting 30-day post-surgery death for prevalence and association strength in both racial groups.
- Employed classification tree and network analysis for risk factor assessment.
Main Results:
- Network analyses showed a higher prevalence and stronger association of preoperative risk factors with mortality in African American children.
- Race-specific risk models demonstrated high accuracy: 94% specificity and 83% sensitivity for African American children; 96% specificity and 77% sensitivity for white children.
- Significant differences were observed between the two race-specific models.
Conclusions:
- Race-specific models offer superior accuracy in predicting surgical outcomes compared to non-race-specific models.
- Identifying and addressing race-specific modifiable risk factors is crucial for mitigating racial disparities in surgical outcomes.
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.
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