Racial Disparities After Stoma Construction Exist in Time to Closure After 1 Year but Not in Overall Stoma Reversal Rates

J Gastrointest Surg. 2018 Feb;22(2):250-258. doi: 10.1007/s11605-017-3514-y. Epub 2017 Jul 28.

Abstract

Introduction: Conflicting data exist on racial disparities in stoma reversal (SR) rates. Our aim was to investigate the role of race in SR rates, and time to closure, in a longitudinal, racially diverse database.

Methods: All adult patients (>18 years) who received an ileostomy or colostomy from 1999 to 2016 at a single institution were identified. Primary outcomes were SR rates and time to closure. Failure to reverse and time to closure was modeled using Cox regression. Kaplan-Meier survival curves, stratified by race, were generated for time to closure and hazard ratios (HRs) calculated.

Results: Of 770 patients with stomas, 65.6% of patients underwent SR; 76.6% were white and 23.4% were black. On adjusted analysis, race did not predict overall SR rates or time to closure if performed less than 1 year. Instead, significant predictors for failure in SR included age, insurance status, end colostomy/ileostomy, and loop colostomy (p < 0.05). Predictors of delay in time to closure included insurance, end colostomy/ileostomy, and loop colostomy (p < 0.05). In patients who underwent reversal after 1 year, black race was an independent predictor of time to closure (HR 0.21, 95% CI 0.07-0.63, p < 0.05).

Conclusion: SR rates were equal between black and white patients. Disparities in time to closure existed only for black patients if reversed more than 1 year after index stoma construction. While equitable outcomes were achieved for most patients, further investigation is necessary to understand stoma disparities after 1 year.

Keywords: Ostomy reversal; Racial disparities; Stomas; Time to closure.

MeSH terms

  • Adult
  • Age Factors
  • Black or African American / statistics & numerical data*
  • Colostomy / methods
  • Colostomy / statistics & numerical data
  • Female
  • Healthcare Disparities / ethnology*
  • Healthcare Disparities / statistics & numerical data*
  • Humans
  • Ileostomy / methods
  • Ileostomy / statistics & numerical data
  • Insurance Coverage / statistics & numerical data*
  • Insurance, Health / statistics & numerical data*
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Retrospective Studies
  • Time Factors
  • White People / statistics & numerical data*