A Population-Based Cohort Study of Emergency Appendectomy Performed in England and New York State

World J Surg. 2017 Aug;41(8):1975-1984. doi: 10.1007/s00268-017-3981-z.

Abstract

Background: To compare selected outcomes (30-day reoperation and total length of hospital stay) following emergency appendectomy between populations from New York State and England.

Methods: This retrospective cohort study used demographic and in-hospital outcome data from Hospital Episode Statistics (HES) and the New York Statewide Planning and Research Cooperative System (SPARCS) administrative databases for all patients aged 18+ years undergoing appendectomy between April 2009 and March 2014. Univariate and adjusted multivariable logistic regression were used to test significant factors. A one-to-one propensity score matched dataset was created to compare odd ratios (OR) of reoperations between the two populations.

Results: A total of 188,418 patient records, 121,428 (64.4%) from England and 66,990 (35.6%) from NYS, were extracted. Appendectomy was completed laparoscopically in 77.7% of patients in New York State compared to 53.6% in England (P < 0.001). The median lengths of hospital stay for patients undergoing appendectomy were 3 (interquartile range, IQR 2-4) days versus 2 (IQR 1-3) days (P < 0.001) in England and New York State, respectively. All 30-day reoperation rates were higher in England compared to New York State (1.2 vs. 0.6%, P < 0.001), representing nearly a twofold higher risk of 30-day reoperation (OR 1.88, 95% CI 1.64-2.14, P < 0.001). As the proportion of appendectomy completed laparoscopically increased, there was a reduction in the reoperation rate in England (correlation coefficient -0.170, P = 0.036).

Conclusions: Reoperations and total length of hospital stay is significantly higher following appendectomy in England compared to New York State. Increasing the numbers of appendectomy completed laparoscopically may decrease length of stay and reoperations.

MeSH terms

  • Adult
  • Aged
  • Appendectomy / statistics & numerical data*
  • Female
  • Humans
  • Length of Stay / statistics & numerical data
  • Logistic Models
  • Male
  • Middle Aged
  • Reoperation / statistics & numerical data
  • Retrospective Studies
  • Young Adult