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.

Pediatrics
|January 12, 2018
PubMed

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.
Abstract

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